Package Instance
Lookup for vulnerable packages by Package URL.
GET /api/packages/25366?format=api
{ "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "type": "pypi", "namespace": "", "name": "tensorflow-cpu", "version": "2.6.3", "qualifiers": {}, "subpath": "", "is_vulnerable": true, "next_non_vulnerable_version": "2.8.1", "latest_non_vulnerable_version": "2.12.1", "affected_by_vulnerabilities": [ { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8313?format=api", "vulnerability_id": "VCID-rt4b-xxm6-xubs", "summary": "Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23590", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00239", "scoring_system": "epss", "scoring_elements": "0.47086", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23590" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-99.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.9", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-99.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-154.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.9", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-154.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.9", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.9", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:26Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.9", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:26Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.9", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:26Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23590", "reference_id": "CVE-2022-23590", "reference_type": "", "scores": [ { "value": "5.9", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23590" }, { "reference_url": "https://github.com/advisories/GHSA-pqrv-8r2f-7278", "reference_id": "GHSA-pqrv-8r2f-7278", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-pqrv-8r2f-7278" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23590", "CVE-2022-23590", "GHSA-pqrv-8r2f-7278", "PYSEC-2022-154", "PYSEC-2022-99" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-rt4b-xxm6-xubs" } ], "fixing_vulnerabilities": [ { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8273?format=api", "vulnerability_id": "VCID-11qd-d7c7-sbdm", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21731", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00303", "scoring_system": "epss", "scoring_elements": "0.53888", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21731" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-55.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-55.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-110.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-110.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/common_shape_fns.cc#L1961-L2059", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:26Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/common_shape_fns.cc#L1961-L2059" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.cc#L345-L358", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:26Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.cc#L345-L358" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f611729f53f3ec022", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:26Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f611729f53f3ec022" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m4hf-j54p-p353", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:26Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m4hf-j54p-p353" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21731", "reference_id": "CVE-2022-21731", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21731" }, { "reference_url": "https://github.com/advisories/GHSA-m4hf-j54p-p353", "reference_id": "GHSA-m4hf-j54p-p353", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-m4hf-j54p-p353" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-21731", "CVE-2022-21731", "GHSA-m4hf-j54p-p353", "PYSEC-2022-110", "PYSEC-2022-55" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-11qd-d7c7-sbdm" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8272?format=api", "vulnerability_id": "VCID-145d-k5w3-tfgz", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23567", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0045", "scoring_system": "epss", "scoring_elements": "0.63951", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23567" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-76.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. 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"reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:49:48Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf2j-f278-xh4v" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23557", "reference_id": "CVE-2022-23557", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": 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A malicious user can cause a denial of service by altering a `SavedModel` such that Grappler optimizer would attempt to build a tensor using a reference `dtype`. This would result in a crash due to a `CHECK`-fail in the `Tensor` constructor as reference types are not allowed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23588", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00303", "scoring_system": "epss", "scoring_elements": "0.53888", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23588" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-97.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-97.yaml" }, { "reference_url": 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"scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:44Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L1328-L1402" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/6b5adc0877de832b2a7c189532dbbbc64622eeb6", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:44Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/6b5adc0877de832b2a7c189532dbbbc64622eeb6" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fx5c-h9f6-rv7c", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:44Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fx5c-h9f6-rv7c" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23588", "reference_id": "CVE-2022-23588", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23588" }, { "reference_url": "https://github.com/advisories/GHSA-fx5c-h9f6-rv7c", "reference_id": "GHSA-fx5c-h9f6-rv7c", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-fx5c-h9f6-rv7c" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23588", "CVE-2022-23588", "GHSA-fx5c-h9f6-rv7c", "PYSEC-2022-152", "PYSEC-2022-97" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-3g5a-5csn-h3d9" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8311?format=api", "vulnerability_id": "VCID-466y-e26r-rka4", "summary": "Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so `flr->config_proto` is `nullptr`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23595", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00221", "scoring_system": "epss", "scoring_elements": "0.44697", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23595" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-103.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.0", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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"scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/jit/xla_platform_info.cc#L43-L104", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.0", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:22Z/" } ], "url": 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"", "reference_type": "", "scores": [ { "value": "5.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "6.0", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:22Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fpcp-9h7m-ffpx" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23595", "reference_id": "CVE-2022-23595", "reference_type": "", "scores": [ { "value": "5.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.0", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23595" }, { "reference_url": "https://github.com/advisories/GHSA-fpcp-9h7m-ffpx", "reference_id": "GHSA-fpcp-9h7m-ffpx", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-fpcp-9h7m-ffpx" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, 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In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in `mktemp` and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to actually create a temporary directory instead of a file. This logic bug is hidden away by the `mktemp` function usage. We have patched the issue in several commits, replacing `mktemp` with the safer `mkstemp`/`mkdtemp` functions, according to the usage pattern. Users are advised to upgrade as soon as possible.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23563", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00014", "scoring_system": "epss", "scoring_elements": "0.02926", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23563" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-72.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.1", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N" }, { "value": "8.4", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-72.yaml" }, { 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"scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.1", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "8.4", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23563", "reference_id": "CVE-2022-23563", "reference_type": "", "scores": [ { "value": "7.1", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N" }, { "value": "8.4", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23563" }, { "reference_url": "https://github.com/advisories/GHSA-wc4g-r73w-x8mm", "reference_id": "GHSA-wc4g-r73w-x8mm", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-wc4g-r73w-x8mm" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23563", "CVE-2022-23563", "GHSA-wc4g-r73w-x8mm", "PYSEC-2022-127", "PYSEC-2022-72" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-5tpp-sf62-zycs" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8281?format=api", "vulnerability_id": "VCID-6888-uhtp-8ub6", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21737", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0022", "scoring_system": "epss", "scoring_elements": "0.44623", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21737" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-61.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-61.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-116.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-116.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:06Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:06Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:06Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21737", "reference_id": "CVE-2022-21737", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21737" }, { "reference_url": "https://github.com/advisories/GHSA-f2vv-v9cg-qhh7", "reference_id": "GHSA-f2vv-v9cg-qhh7", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-f2vv-v9cg-qhh7" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-21737", "CVE-2022-21737", "GHSA-f2vv-v9cg-qhh7", "PYSEC-2022-116", "PYSEC-2022-61" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-6888-uhtp-8ub6" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8275?format=api", "vulnerability_id": "VCID-6gnj-az99-h7b4", "summary": "Tensorflow is an Open Source Machine Learning 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The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21735", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0022", "scoring_system": "epss", "scoring_elements": "0.44623", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21735" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-59.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-59.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-114.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-114.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", 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Multiple operations in TensorFlow can be used to trigger a denial of service via `CHECK`-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23569", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00118", "scoring_system": "epss", "scoring_elements": "0.30304", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23569" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-78.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21733", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00232", "scoring_system": "epss", "scoring_elements": "0.46146", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21733" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-57.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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"scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21733" }, { "reference_url": "https://github.com/advisories/GHSA-98j8-c9q4-r38g", "reference_id": "GHSA-98j8-c9q4-r38g", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-98j8-c9q4-r38g" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-21733", "CVE-2022-21733", "GHSA-98j8-c9q4-r38g", "PYSEC-2022-112", "PYSEC-2022-57" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-97cs-4kx3-37gm" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8277?format=api", "vulnerability_id": "VCID-9arh-a8wj-wka6", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `MapStage` is vulnerable a `CHECK`-fail if the key tensor is not a scalar. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21734", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0022", "scoring_system": "epss", "scoring_elements": "0.44623", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21734" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-58.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-58.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-113.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-113.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/map_stage_op.cc#L519-L550", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:12Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/map_stage_op.cc#L519-L550" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/f57315566d7094f322b784947093406c2aea0d7d", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:12Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/f57315566d7094f322b784947093406c2aea0d7d" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gcvh-66ff-4mwm", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:12Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gcvh-66ff-4mwm" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21734", "reference_id": "CVE-2022-21734", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21734" }, { "reference_url": "https://github.com/advisories/GHSA-gcvh-66ff-4mwm", "reference_id": "GHSA-gcvh-66ff-4mwm", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-gcvh-66ff-4mwm" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-21734", "CVE-2022-21734", "GHSA-gcvh-66ff-4mwm", "PYSEC-2022-113", "PYSEC-2022-58" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-9arh-a8wj-wka6" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8283?format=api", "vulnerability_id": "VCID-akmu-fas1-33h6", "summary": "Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21741", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00232", "scoring_system": "epss", "scoring_elements": "0.46146", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21741" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-65.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-65.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-120.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-120.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/depthwise_conv.cc#L96", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/depthwise_conv.cc#L96" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/e5b0eec199c2d03de54fd6a7fd9275692218e2bc", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/e5b0eec199c2d03de54fd6a7fd9275692218e2bc" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-428x-9xc2-m8mj", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-428x-9xc2-m8mj" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21741", "reference_id": "CVE-2022-21741", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21741" }, { "reference_url": "https://github.com/advisories/GHSA-428x-9xc2-m8mj", "reference_id": "GHSA-428x-9xc2-m8mj", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-428x-9xc2-m8mj" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-21741", "CVE-2022-21741", "GHSA-428x-9xc2-m8mj", "PYSEC-2022-120", "PYSEC-2022-65" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-akmu-fas1-33h6" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8316?format=api", "vulnerability_id": "VCID-axj7-aq9m-rqdu", "summary": "Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23571", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00118", "scoring_system": "epss", "scoring_elements": "0.30304", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23571" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-80.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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"http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23571", "CVE-2022-23571", "GHSA-j3mj-fhpq-qqjj", "PYSEC-2022-135", "PYSEC-2022-80" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-axj7-aq9m-rqdu" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8289?format=api", "vulnerability_id": "VCID-ccv1-pgda-r7ba", "summary": "Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in `Grappler`. The `set_output` function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23566", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00391", "scoring_system": "epss", "scoring_elements": "0.60401", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23566" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-75.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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"generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23566" }, { "reference_url": "https://github.com/advisories/GHSA-5qw5-89mw-wcg2", "reference_id": "GHSA-5qw5-89mw-wcg2", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-5qw5-89mw-wcg2" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": 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The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `SafeToRemoveIdentity` would trigger `CHECK` failures. The fix will be included in TensorFlow 2.8.0. 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"affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23577", "CVE-2022-23577", "GHSA-8cxv-76p7-jxwr", "PYSEC-2022-141", "PYSEC-2022-86" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-egc6-6pwr-fyej" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8294?format=api", "vulnerability_id": "VCID-en5f-xtha-cyhp", "summary": "Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that assertions in `function.cc` would be falsified and crash the Python interpreter. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23586", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00303", "scoring_system": "epss", "scoring_elements": "0.53888", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23586" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-95.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-95.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-150.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-150.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/function.cc", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:57Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/function.cc" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/3d89911481ba6ebe8c88c1c0b595412121e6c645", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:57Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/3d89911481ba6ebe8c88c1c0b595412121e6c645" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/dcc21c7bc972b10b6fb95c2fb0f4ab5a59680ec2", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:57Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/dcc21c7bc972b10b6fb95c2fb0f4ab5a59680ec2" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-43jf-985q-588j", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:57Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-43jf-985q-588j" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23586", "reference_id": "CVE-2022-23586", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23586" }, { "reference_url": "https://github.com/advisories/GHSA-43jf-985q-588j", "reference_id": "GHSA-43jf-985q-588j", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-43jf-985q-588j" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23586", "CVE-2022-23586", "GHSA-43jf-985q-588j", "PYSEC-2022-150", "PYSEC-2022-95" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-en5f-xtha-cyhp" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8287?format=api", "vulnerability_id": "VCID-ev23-kazv-nkas", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23575", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0022", "scoring_system": "epss", "scoring_elements": "0.44623", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23575" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-84.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-84.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-139.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-139.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1552-L1558", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1552-L1558" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/fcd18ce3101f245b083b30655c27b239dc72221e", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/fcd18ce3101f245b083b30655c27b239dc72221e" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c94w-c95p-phf8", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c94w-c95p-phf8" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23575", "reference_id": "CVE-2022-23575", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23575" }, { "reference_url": "https://github.com/advisories/GHSA-c94w-c95p-phf8", "reference_id": "GHSA-c94w-c95p-phf8", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-c94w-c95p-phf8" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23575", "CVE-2022-23575", "GHSA-c94w-c95p-phf8", "PYSEC-2022-139", "PYSEC-2022-84" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-ev23-kazv-nkas" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8265?format=api", "vulnerability_id": "VCID-ev84-gxjn-6bf1", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. 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"reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qx3f-p745-w4hr" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23562", "reference_id": "CVE-2022-23562", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23562" }, { "reference_url": "https://github.com/advisories/GHSA-qx3f-p745-w4hr", "reference_id": "GHSA-qx3f-p745-w4hr", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-qx3f-p745-w4hr" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23562", "CVE-2022-23562", "GHSA-qx3f-p745-w4hr", "PYSEC-2022-126", "PYSEC-2022-71" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-f25m-udat-n3fd" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8310?format=api", "vulnerability_id": "VCID-f3cx-k63z-7qde", "summary": "Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23559", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00517", "scoring_system": "epss", "scoring_elements": "0.67022", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23559" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-68.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-68.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-123.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-123.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/embedding_lookup_sparse.cc#L179-L189", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track*", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2025-04-22T15:44:41Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/embedding_lookup_sparse.cc#L179-L189" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track*", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2025-04-22T15:44:41Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track*", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2025-04-22T15:44:41Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track*", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2025-04-22T15:44:41Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track*", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2025-04-22T15:44:41Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23559", "reference_id": "CVE-2022-23559", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23559" }, { "reference_url": "https://github.com/advisories/GHSA-98p5-x8x4-c9m5", "reference_id": "GHSA-98p5-x8x4-c9m5", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-98p5-x8x4-c9m5" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23559", "CVE-2022-23559", "GHSA-98p5-x8x4-c9m5", "PYSEC-2022-123", "PYSEC-2022-68" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-f3cx-k63z-7qde" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8296?format=api", "vulnerability_id": "VCID-fggx-3rzd-8kf5", "summary": "Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23585", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00656", "scoring_system": "epss", "scoring_elements": "0.71345", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23585" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-94.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-94.yaml" }, { "reference_url": 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"is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23580", "CVE-2022-23580", "GHSA-627q-g293-49q7", "PYSEC-2022-144", "PYSEC-2022-89" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-g8ts-ghhv-33e3" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8278?format=api", "vulnerability_id": "VCID-gg98-zkw8-5ben", "summary": "Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21725", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0022", "scoring_system": "epss", "scoring_elements": "0.44623", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21725" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-49.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.8", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-49.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-104.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.8", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-104.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.8", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.8", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:17Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.8", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:17Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v3f7-j968-4h5f", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "6.8", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:17Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v3f7-j968-4h5f" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21725", "reference_id": "CVE-2022-21725", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "6.8", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21725" }, { "reference_url": "https://github.com/advisories/GHSA-v3f7-j968-4h5f", "reference_id": "GHSA-v3f7-j968-4h5f", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-v3f7-j968-4h5f" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-21725", "CVE-2022-21725", "GHSA-v3f7-j968-4h5f", "PYSEC-2022-104", "PYSEC-2022-49" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-gg98-zkw8-5ben" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8303?format=api", "vulnerability_id": "VCID-hujj-6vv2-u3c2", "summary": "Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23583", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00285", "scoring_system": "epss", "scoring_elements": "0.52084", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23583" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-92.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-92.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-147.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-147.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/cwise_ops_common.h#L88-L137", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:02Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/cwise_ops_common.h#L88-L137" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:02Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjqc-q9g6-q2j3", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:02Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjqc-q9g6-q2j3" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23583", "reference_id": "CVE-2022-23583", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23583" }, { "reference_url": "https://github.com/advisories/GHSA-gjqc-q9g6-q2j3", "reference_id": "GHSA-gjqc-q9g6-q2j3", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-gjqc-q9g6-q2j3" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23583", "CVE-2022-23583", "GHSA-gjqc-q9g6-q2j3", "PYSEC-2022-147", "PYSEC-2022-92" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-hujj-6vv2-u3c2" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8309?format=api", "vulnerability_id": "VCID-jdud-ufqp-4yg5", "summary": "Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23591", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00335", "scoring_system": "epss", "scoring_elements": "0.56558", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23591" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-100.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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"http://public2.vulnerablecode.io/api/vulnerabilities/8279?format=api", "vulnerability_id": "VCID-ky4u-eny7-33fy", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `UnravelIndex` is vulnerable to a division by zero caused by an integer overflow bug. The fix will be included in TensorFlow 2.8.0. 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"reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:16Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-34f9-hjfq-rr8j" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21729", "reference_id": "CVE-2022-21729", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": 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The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. 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"reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:40Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23576", "reference_id": "CVE-2022-23576", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23576" }, { "reference_url": "https://github.com/advisories/GHSA-wm93-f238-7v37", "reference_id": "GHSA-wm93-f238-7v37", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-wm93-f238-7v37" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23576", "CVE-2022-23576", "GHSA-wm93-f238-7v37", "PYSEC-2022-140", "PYSEC-2022-85" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-m4na-tgrp-d7fk" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8291?format=api", "vulnerability_id": "VCID-mtqg-yga8-eqeu", "summary": "Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `IsSimplifiableReshape` would trigger `CHECK` failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23581", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00476", "scoring_system": "epss", "scoring_elements": "0.65178", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23581" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-90.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-90.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-145.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-145.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L1687-L1742", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L1687-L1742" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/1fb27733f943295d874417630edd3b38b34ce082", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/1fb27733f943295d874417630edd3b38b34ce082" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/240655511cd3e701155f944a972db71b6c0b1bb6", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/240655511cd3e701155f944a972db71b6c0b1bb6" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/ebc1a2ffe5a7573d905e99bd0ee3568ee07c12c1", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/ebc1a2ffe5a7573d905e99bd0ee3568ee07c12c1" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fq86-3f29-px2c", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fq86-3f29-px2c" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23581", "reference_id": "CVE-2022-23581", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23581" }, { "reference_url": "https://github.com/advisories/GHSA-fq86-3f29-px2c", "reference_id": "GHSA-fq86-3f29-px2c", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-fq86-3f29-px2c" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23581", "CVE-2022-23581", "GHSA-fq86-3f29-px2c", "PYSEC-2022-145", "PYSEC-2022-90" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-mtqg-yga8-eqeu" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8301?format=api", "vulnerability_id": "VCID-n62z-1akp-ebck", "summary": "Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After `png::CommonFreeDecode(&decode)` gets called, the values of `decode.width` and `decode.height` are in an unspecified state. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23584", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00252", "scoring_system": "epss", "scoring_elements": "0.4871", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23584" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-93.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-93.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-148.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-148.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/image/decode_image_op.cc#L339-L346", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:15Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/image/decode_image_op.cc#L339-L346" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/e746adbfcfee15e9cfdb391ff746c765b99bdf9b", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:15Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/e746adbfcfee15e9cfdb391ff746c765b99bdf9b" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-24x4-6qmh-88qg", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:51:15Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-24x4-6qmh-88qg" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23584", "reference_id": "CVE-2022-23584", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23584" }, { "reference_url": "https://github.com/advisories/GHSA-24x4-6qmh-88qg", "reference_id": "GHSA-24x4-6qmh-88qg", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-24x4-6qmh-88qg" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23584", "CVE-2022-23584", "GHSA-24x4-6qmh-88qg", "PYSEC-2022-148", "PYSEC-2022-93" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-n62z-1akp-ebck" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8315?format=api", "vulnerability_id": "VCID-ngkq-s26c-qkfj", "summary": "Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23589", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00301", "scoring_system": "epss", "scoring_elements": "0.53639", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23589" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-98.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-98.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-153.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-153.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/mutable_graph_view.cc#L59-L74", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:53Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/mutable_graph_view.cc#L59-L74" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L3466-L3497", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:53Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L3466-L3497" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/045deec1cbdebb27d817008ad5df94d96a08b1bf", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:53Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/045deec1cbdebb27d817008ad5df94d96a08b1bf" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/0a365c029e437be0349c31f8d4c9926b69fa3fa1", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:53Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/0a365c029e437be0349c31f8d4c9926b69fa3fa1" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9px9-73fg-3fqp", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:50:53Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9px9-73fg-3fqp" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23589", "reference_id": "CVE-2022-23589", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23589" }, { "reference_url": "https://github.com/advisories/GHSA-9px9-73fg-3fqp", "reference_id": "GHSA-9px9-73fg-3fqp", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-9px9-73fg-3fqp" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23589", "CVE-2022-23589", "GHSA-9px9-73fg-3fqp", "PYSEC-2022-153", "PYSEC-2022-98" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-ngkq-s26c-qkfj" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8317?format=api", "vulnerability_id": "VCID-pe9p-a7nn-8bhj", "summary": "Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that `TensorByteSize` would trigger `CHECK` failures. `TensorShape` constructor throws a `CHECK`-fail if shape is partial or has a number of elements that would overflow the size of an `int`. The `PartialTensorShape` constructor instead does not cause a `CHECK`-abort if the shape is partial, which is exactly what this function needs to be able to return `-1`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23582", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0022", "scoring_system": "epss", "scoring_elements": "0.44623", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23582" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-91.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-91.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-146.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-146.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/attr_value_util.cc#L46-L50", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/attr_value_util.cc#L46-L50" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/c2426bba00a01de6913738df8fa78e0215fcce02", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/c2426bba00a01de6913738df8fa78e0215fcce02" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4j82-5ccr-4r8v", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4j82-5ccr-4r8v" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23582", "reference_id": "CVE-2022-23582", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23582" }, { "reference_url": "https://github.com/advisories/GHSA-4j82-5ccr-4r8v", "reference_id": "GHSA-4j82-5ccr-4r8v", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-4j82-5ccr-4r8v" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23582", "CVE-2022-23582", "GHSA-4j82-5ccr-4r8v", "PYSEC-2022-146", "PYSEC-2022-91" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-pe9p-a7nn-8bhj" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8293?format=api", "vulnerability_id": "VCID-q4zv-syab-bbh8", "summary": "Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23558", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0039", "scoring_system": "epss", "scoring_elements": "0.6033", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23558" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-67.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-67.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-122.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-122.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", 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"https://nvd.nist.gov/vuln/detail/CVE-2022-23558" }, { "reference_url": "https://github.com/advisories/GHSA-9gwq-6cwj-47h3", "reference_id": "GHSA-9gwq-6cwj-47h3", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-9gwq-6cwj-47h3" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": 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An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. 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The implementation of `ThreadPoolHandle` can be used to trigger a denial of service attack by allocating too much memory. This is because the `num_threads` argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21732", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.0022", "scoring_system": "epss", "scoring_elements": "0.44623", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21732" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-56.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23572" }, { "reference_url": "https://github.com/advisories/GHSA-rww7-2gpw-fv6j", "reference_id": "GHSA-rww7-2gpw-fv6j", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-rww7-2gpw-fv6j" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23572", "CVE-2022-23572", "GHSA-rww7-2gpw-fv6j", "PYSEC-2022-136", "PYSEC-2022-81" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-ugta-nt2s-27fk" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8319?format=api", "vulnerability_id": "VCID-v2nf-1526-nkbp", "summary": "Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a `SavedModel` on disk such that `AttrDef`s of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23565", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00118", "scoring_system": "epss", "scoring_elements": "0.30304", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23565" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-74.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-74.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-129.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-129.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/c2b31ff2d3151acb230edc3f5b1832d2c713a9e0", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/c2b31ff2d3151acb230edc3f5b1832d2c713a9e0" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4v5p-v5h9-6xjx", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4v5p-v5h9-6xjx" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23565", "reference_id": "CVE-2022-23565", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23565" }, { "reference_url": "https://github.com/advisories/GHSA-4v5p-v5h9-6xjx", "reference_id": "GHSA-4v5p-v5h9-6xjx", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-4v5p-v5h9-6xjx" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23565", "CVE-2022-23565", "GHSA-4v5p-v5h9-6xjx", "PYSEC-2022-129", "PYSEC-2022-74" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-v2nf-1526-nkbp" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8299?format=api", "vulnerability_id": "VCID-vfgz-fss4-wbgu", "summary": "Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23574", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00296", "scoring_system": "epss", "scoring_elements": "0.53147", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23574" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-83.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-83.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-138.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-138.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track*", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2025-04-22T15:44:49Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track*", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2025-04-22T15:44:49Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track*", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2025-04-22T15:44:49Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23574", "reference_id": "CVE-2022-23574", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23574" }, { "reference_url": "https://github.com/advisories/GHSA-77gp-3h4r-6428", "reference_id": "GHSA-77gp-3h4r-6428", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-77gp-3h4r-6428" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23574", "CVE-2022-23574", "GHSA-77gp-3h4r-6428", "PYSEC-2022-138", "PYSEC-2022-83" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-vfgz-fss4-wbgu" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8306?format=api", "vulnerability_id": "VCID-vgv7-xc3c-1fb3", "summary": "Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. 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"http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23564", "CVE-2022-23564", "GHSA-8rcj-c8pj-v3m3", "PYSEC-2022-128", "PYSEC-2022-73" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-vgv7-xc3c-1fb3" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8270?format=api", "vulnerability_id": "VCID-vnn5-y8ez-rub9", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23568", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00303", "scoring_system": "epss", "scoring_elements": "0.53888", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23568" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-77.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], 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"scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:24Z/" } ], "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-25T15:47:24Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c", "reference_id": 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The implementation of `QuantizedMaxPool` has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. The fix will be included in TensorFlow 2.8.0. 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"reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-22T15:49:57Z/" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9p77-mmrw-69c7" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23570", "reference_id": "CVE-2022-23570", "reference_type": "", "scores": [ { "value": "6.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "7.1", "scoring_system": "cvssv4", "scoring_elements": 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An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. 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"scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "8.7", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" }, { "value": "Track", "scoring_system": "ssvc", "scoring_elements": "SSVCv2/E:N/A:N/T:T/P:M/B:A/M:M/D:T/2025-04-23T15:56:28Z/" } ], "url": "https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6" }, { "reference_url": 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"http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23561", "CVE-2022-23561", "GHSA-9c78-vcq7-7vxq", "PYSEC-2022-125", "PYSEC-2022-70" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-x2t2-4sa6-qygs" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8295?format=api", "vulnerability_id": "VCID-x5x3-2cyz-xbhe", "summary": "Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item->kernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23578", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.002", "scoring_system": "epss", "scoring_elements": "0.4199", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-23578" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-87.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-87.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-142.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-142.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23578", "reference_id": "CVE-2022-23578", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "value": "5.3", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23578" }, { "reference_url": "https://github.com/advisories/GHSA-8r7c-3cm2-3h8f", "reference_id": "GHSA-8r7c-3cm2-3h8f", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-8r7c-3cm2-3h8f" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-23578", "CVE-2022-23578", "GHSA-8r7c-3cm2-3h8f", "PYSEC-2022-142", "PYSEC-2022-87" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-x5x3-2cyz-xbhe" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/14882?format=api", "vulnerability_id": "VCID-xn72-z6kg-q7bp", "summary": "Integer Overflow or Wraparound in TensorFlow\n### Impact\nThe Grappler component of TensorFlow is vulnerable to a denial of service via `CHECK`-failure in constant folding for ;\n // ...\n }\n```\n \nThe `output_prop` tensor has a shape that is controlled by user input and this can result in triggering one of the `CHECK`s in the `PartialTensorShape` constructor. This is an instance of TFSA-2021-198 .\n\n### Patches\nWe have patched the issue in GitHub commit be7b286d40bc68cb0b56f702186cc4837d508058 fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide] for more information regarding the security model and how to contact us with issues and questions.", "references": [ { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/be7b286d40bc68cb0b56f702186cc4837d508058", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/be7b286d40bc68cb0b56f702186cc4837d508058" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-prcg-wp5q-rv7p", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-prcg-wp5q-rv7p" }, { "reference_url": "https://github.com/advisories/GHSA-wcv5-vrvr-3rx2", "reference_id": "GHSA-wcv5-vrvr-3rx2", "reference_type": "", "scores": [ { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-wcv5-vrvr-3rx2" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wcv5-vrvr-3rx2", "reference_id": "GHSA-wcv5-vrvr-3rx2", "reference_type": "", "scores": [ { "value": "5.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "value": "MODERATE", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "MODERATE", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wcv5-vrvr-3rx2" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "GHSA-wcv5-vrvr-3rx2", "GMS-2022-50", "GMS-2022-53", "GMS-2022-56" ], "risk_score": 3.1, "exploitability": "0.5", "weighted_severity": "6.2", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-xn72-z6kg-q7bp" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/14907?format=api", "vulnerability_id": "VCID-y8ed-ynrx-37af", "summary": "Improper Validation of Integrity Check Value in TensorFlow\nThe implementation of `tf.sparse.split` does not fully validate the input arguments.", "references": [ { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.0", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/61bf91e768173b001d56923600b40d9a95a04ad5", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.0", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/61bf91e768173b001d56923600b40d9a95a04ad5" }, { "reference_url": "https://github.com/tensorflow/tensorflow/pull/53695", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.0", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/pull/53695" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pgcq-h79j-2f69", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.0", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pgcq-h79j-2f69" }, { "reference_url": "https://github.com/advisories/GHSA-43q8-3fv7-pr5x", "reference_id": "GHSA-43q8-3fv7-pr5x", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-43q8-3fv7-pr5x" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-43q8-3fv7-pr5x", "reference_id": "GHSA-43q8-3fv7-pr5x", "reference_type": "", "scores": [ { "value": "7.0", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-43q8-3fv7-pr5x" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "GHSA-43q8-3fv7-pr5x", "GMS-2022-48", "GMS-2022-51", "GMS-2022-54" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-y8ed-ynrx-37af" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/8284?format=api", "vulnerability_id": "VCID-yvag-32h1-yfc5", "summary": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.", "references": [ { "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21740", "reference_id": "", "reference_type": "", "scores": [ { "value": "0.00313", "scoring_system": "epss", "scoring_elements": "0.54726", "published_at": "2026-05-30T12:55:00Z" } ], "url": "https://api.first.org/data/v1/epss?cve=CVE-2022-21740" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-64.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-64.yaml" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-119.yaml", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-119.yaml" }, { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/2b7100d6cdff36aa21010a82269bc05a6d1cc74a", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/2b7100d6cdff36aa21010a82269bc05a6d1cc74a" }, { "reference_url": "https://github.com/tensorflow/tensorflow/commit/adbbabdb0d3abb3cdeac69e38a96de1d678b24b3", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/commit/adbbabdb0d3abb3cdeac69e38a96de1d678b24b3" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-44qp-9wwf-734r", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-44qp-9wwf-734r" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21740", "reference_id": "CVE-2022-21740", "reference_type": "", "scores": [ { "value": "7.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H" }, { "value": "7.2", "scoring_system": "cvssv4", "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N" }, { "value": "HIGH", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21740" }, { "reference_url": "https://github.com/advisories/GHSA-44qp-9wwf-734r", "reference_id": "GHSA-44qp-9wwf-734r", "reference_type": "", "scores": [ { "value": "HIGH", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-44qp-9wwf-734r" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "BIT-tensorflow-2022-21740", "CVE-2022-21740", "GHSA-44qp-9wwf-734r", "PYSEC-2022-119", "PYSEC-2022-64" ], "risk_score": 4.0, "exploitability": "0.5", "weighted_severity": "8.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-yvag-32h1-yfc5" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/14904?format=api", "vulnerability_id": "VCID-yvef-kyv2-qbea", "summary": "NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlow\n### Impact \nThe code for boosted trees in TensorFlow is still missing validation. This allows malicious users to read and write outside of bounds of heap allocated data as well as trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures).\n\nThis follows after CVE-2021-41208 where these APIs were still vulnerable to multiple security issues.\n\n**Note**: Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. Instead, please use the downstream [TensorFlow Decision Forests] project which is newer and supports more features. \n \nThese APIs are now deprecated in TensorFlow 2.8. We will remove TensorFlow's boosted trees APIs in subsequent releases.\n \n### Patches\nWe have patched the known issues in multiple GitHub commits.\n \nThe fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.\n\nThis should allow users to use existing boosted trees APIs for a while until they migrate to TensorFlow Decision Forests while guaranteeing that known vulnerabilities are fixed.\n\n### For more information\nPlease consult our security guide for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThese vulnerabilities have been reported by Yu Tian of Qihoo 360 AIVul Team and Faysal Hossain Shezan from University of Virginia. Some of the issues have been discovered internally after a careful audit of the APIs.", "references": [ { "reference_url": "https://github.com/tensorflow/tensorflow", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H" }, { "value": "CRITICAL", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow" }, { "reference_url": "https://github.com/tensorflow/tensorflow/blob/e0b6e58c328059829c3eb968136f17aa72b6c876/tensorflow/core/kernels/boosted_trees/stats_ops.cc", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H" }, { "value": "CRITICAL", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/blob/e0b6e58c328059829c3eb968136f17aa72b6c876/tensorflow/core/kernels/boosted_trees/stats_ops.cc" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-57wx-m983-2f88", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H" }, { "value": "CRITICAL", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-57wx-m983-2f88" }, { "reference_url": "https://github.com/advisories/GHSA-h6gw-r52c-724r", "reference_id": "GHSA-h6gw-r52c-724r", "reference_type": "", "scores": [ { "value": "CRITICAL", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" } ], "url": "https://github.com/advisories/GHSA-h6gw-r52c-724r" }, { "reference_url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6gw-r52c-724r", "reference_id": "GHSA-h6gw-r52c-724r", "reference_type": "", "scores": [ { "value": "9.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H" }, { "value": "CRITICAL", "scoring_system": "cvssv3.1_qr", "scoring_elements": "" }, { "value": "CRITICAL", "scoring_system": "generic_textual", "scoring_elements": "" } ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6gw-r52c-724r" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/25365?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.5.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.5.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25366?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.6.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-rt4b-xxm6-xubs" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }, { "url": "http://public2.vulnerablecode.io/api/packages/25370?format=api", "purl": "pkg:pypi/tensorflow-cpu@2.7.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-ffkg-sa3q-8qfq" }, { "vulnerability": "VCID-uyv6-cmed-a7c3" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.7.1" } ], "aliases": [ "GHSA-h6gw-r52c-724r", "GMS-2022-49", "GMS-2022-52", "GMS-2022-55" ], "risk_score": 4.5, "exploitability": "0.5", "weighted_severity": "9.0", "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-yvef-kyv2-qbea" } ], "risk_score": "3.1", "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow-cpu@2.6.3" }