Package Instance
Lookup for vulnerable packages by Package URL.
GET /api/packages/26634?format=api
{ "url": "http://public2.vulnerablecode.io/api/packages/26634?format=api", "purl": "pkg:pypi/mlflow@0.8.0", "type": "pypi", "namespace": "", "name": "mlflow", "version": "0.8.0", "qualifiers": {}, "subpath": "", "is_vulnerable": true, "next_non_vulnerable_version": "3.11.0rc0", "latest_non_vulnerable_version": "3.11.0rc0", "affected_by_vulnerabilities": [ { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36406?format=api", "vulnerability_id": "VCID-2kkx-3hfx-uqcf", "summary": "Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.2.2.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/63ef72aa4334a6473ce7f889573c92fcae0b3c0d", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/63ef72aa4334a6473ce7f889573c92fcae0b3c0d" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-28.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-28.yaml" }, { "reference_url": "https://huntr.dev/bounties/ae92f814-6a08-435c-8445-eec0ef4f1085", "reference_id": "", "reference_type": "", "scores": [], "url": "https://huntr.dev/bounties/ae92f814-6a08-435c-8445-eec0ef4f1085" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-1176", "reference_id": "CVE-2023-1176", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-1176" }, { "reference_url": "https://github.com/advisories/GHSA-wp72-7hj9-5265", "reference_id": "GHSA-wp72-7hj9-5265", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-wp72-7hj9-5265" }, { "reference_url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-wp72-7hj9-5265", "reference_id": "GHSA-wp72-7hj9-5265", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-wp72-7hj9-5265" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/32655?format=api", "purl": "pkg:pypi/mlflow@2.2.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-2kkx-3hfx-uqcf" }, { "vulnerability": "VCID-3uj4-75x9-a7ae" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-u94r-pnx1-s7c7" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.2.1" }, { "url": "http://public2.vulnerablecode.io/api/packages/32656?format=api", "purl": "pkg:pypi/mlflow@2.2.2", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-3uj4-75x9-a7ae" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-u94r-pnx1-s7c7" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.2.2" } ], "aliases": [ "CVE-2023-1176", "GHSA-wp72-7hj9-5265", "PYSEC-2023-28" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-2kkx-3hfx-uqcf" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36431?format=api", "vulnerability_id": "VCID-3uj4-75x9-a7ae", "summary": "Relative Path Traversal in GitHub repository mlflow/mlflow prior to 2.3.1.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/f73147496e05c09a8b83d95fb4f1bf86696c6342", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/f73147496e05c09a8b83d95fb4f1bf86696c6342" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-68.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-68.yaml" }, { "reference_url": "https://huntr.dev/bounties/7b5d130d-38eb-4133-8c7d-0dfc9a9d9896", "reference_id": "", "reference_type": "", "scores": [], "url": "https://huntr.dev/bounties/7b5d130d-38eb-4133-8c7d-0dfc9a9d9896" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-2356", "reference_id": "CVE-2023-2356", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-2356" }, { "reference_url": "https://github.com/advisories/GHSA-x422-6qhv-p29g", "reference_id": "GHSA-x422-6qhv-p29g", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-x422-6qhv-p29g" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/33502?format=api", "purl": "pkg:pypi/mlflow@2.3.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.3.1" } ], "aliases": [ "CVE-2023-2356", "GHSA-x422-6qhv-p29g", "PYSEC-2023-68" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-3uj4-75x9-a7ae" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36037?format=api", "vulnerability_id": "VCID-58ta-qa92-xfe3", "summary": "Insecure Temporary File in GitHub repository mlflow/mlflow prior to 1.23.1.", "references": [ { "reference_url": "https://github.com/advisories/GHSA-vqj2-4v8m-8vrq", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-vqj2-4v8m-8vrq" }, { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/61984e6843d2e59235d82a580c529920cd8f3711", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/61984e6843d2e59235d82a580c529920cd8f3711" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2022-28.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2022-28.yaml" }, { "reference_url": "https://huntr.dev/bounties/e5384764-c583-4dec-a1d8-4697f4e12f75", "reference_id": "", "reference_type": "", "scores": [], "url": "https://huntr.dev/bounties/e5384764-c583-4dec-a1d8-4697f4e12f75" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0736", "reference_id": "CVE-2022-0736", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0736" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/26673?format=api", "purl": "pkg:pypi/mlflow@1.23.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-2kkx-3hfx-uqcf" }, { "vulnerability": "VCID-3uj4-75x9-a7ae" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-jy2j-vzv6-73gh" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pp8q-xumx-sqax" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-u94r-pnx1-s7c7" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@1.23.1" } ], "aliases": [ "CVE-2022-0736", "GHSA-vqj2-4v8m-8vrq", "PYSEC-2022-28" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-58ta-qa92-xfe3" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36791?format=api", "vulnerability_id": "VCID-7m3u-tyeh-rqgz", "summary": "A broken access control vulnerability exists in mlflow/mlflow versions before 2.10.1, where low privilege users with only EDIT permissions on an experiment can delete any artifacts. This issue arises due to the lack of proper validation for DELETE requests by users with EDIT permissions, allowing them to perform unauthorized deletions of artifacts. The vulnerability specifically affects the handling of artifact deletions within the application, as demonstrated by the ability of a low privilege user to delete a directory inside an artifact using a DELETE request, despite the official documentation stating that users with EDIT permission can only read and update artifacts, not delete them.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8" }, { "reference_url": "https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11", "reference_id": "", "reference_type": "", "scores": [], "url": "https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/41032?format=api", "purl": "pkg:pypi/mlflow@2.10.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.1" } ], "aliases": [ "CVE-2024-4263", "PYSEC-2024-51" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-7m3u-tyeh-rqgz" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36630?format=api", "vulnerability_id": "VCID-93v9-5y4m-t7dz", "summary": "A reflected Cross-Site Scripting (XSS) vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the Content-Type header in POST requests. An attacker can inject malicious JavaScript code into the Content-Type header, which is then improperly reflected back to the user without adequate sanitization or escaping, leading to arbitrary JavaScript execution in the context of the victim's browser. The vulnerability is present in the mlflow/server/auth/__init__.py file, where the user-supplied Content-Type header is directly injected into a Python formatted string and returned to the user, facilitating the XSS attack.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/28ff3f94994941e038f2172c6484b65dc4db6ca1", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.1", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N" } ], "url": "https://github.com/mlflow/mlflow/commit/28ff3f94994941e038f2172c6484b65dc4db6ca1" }, { "reference_url": "https://huntr.com/bounties/816bdaaa-8153-4732-951e-b0d92fddf709", "reference_id": "", "reference_type": "", "scores": [ { "value": "6.1", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N" } ], "url": "https://huntr.com/bounties/816bdaaa-8153-4732-951e-b0d92fddf709" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6568", "reference_id": "CVE-2023-6568", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6568" }, { "reference_url": "https://github.com/advisories/GHSA-vwhf-3v6x-wff8", "reference_id": "GHSA-vwhf-3v6x-wff8", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-vwhf-3v6x-wff8" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/38207?format=api", "purl": "pkg:pypi/mlflow@2.9.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.9.0" }, { "url": "http://public2.vulnerablecode.io/api/packages/38208?format=api", "purl": "pkg:pypi/mlflow@2.9.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.9.1" } ], "aliases": [ "CVE-2023-6568", "GHSA-vwhf-3v6x-wff8", "PYSEC-2023-260" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-93v9-5y4m-t7dz" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36505?format=api", "vulnerability_id": "VCID-an1e-3jdw-7yaw", "summary": "OS Command Injection in GitHub repository mlflow/mlflow prior to 2.6.0.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/6dde93758d42455cb90ef324407919ed67668b9b", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" } ], "url": "https://github.com/mlflow/mlflow/commit/6dde93758d42455cb90ef324407919ed67668b9b" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-280.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-280.yaml" }, { "reference_url": "https://huntr.dev/bounties/5312d6f8-67a5-4607-bd47-5e19966fa321", "reference_id": "", "reference_type": "", "scores": [ { "value": "7.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H" } ], "url": "https://huntr.dev/bounties/5312d6f8-67a5-4607-bd47-5e19966fa321" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-4033", "reference_id": "CVE-2023-4033", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-4033" }, { "reference_url": "https://github.com/advisories/GHSA-ffw3-6378-cqgp", "reference_id": "GHSA-ffw3-6378-cqgp", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-ffw3-6378-cqgp" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/35079?format=api", "purl": "pkg:pypi/mlflow@2.6.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.6.0" } ], "aliases": [ "CVE-2023-4033", "GHSA-ffw3-6378-cqgp", "PYSEC-2023-280" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-an1e-3jdw-7yaw" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37267?format=api", "vulnerability_id": "VCID-cu1t-7wnm-y7hk", "summary": "MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint used to download saved model artifacts. Due to missing access‑control validation, a user without permissions to a given experiment can directly query this endpoint and retrieve model artifacts they are not authorized to access.\n\n \nThis issue affects MLflow version through 3.10.1", "references": [ { "reference_url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors", "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:L/I:N/A:N" } ], "url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors" }, { "reference_url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/", "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:L/I:N/A:N" } ], "url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/21708", "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:L/I:N/A:N" } ], "url": "https://github.com/mlflow/mlflow/pull/21708" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/49217?format=api", "purl": "pkg:pypi/mlflow@3.11.0rc0", "is_vulnerable": false, "affected_by_vulnerabilities": [], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@3.11.0rc0" } ], "aliases": [ "CVE-2026-33866", "PYSEC-2026-94" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-cu1t-7wnm-y7hk" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36734?format=api", "vulnerability_id": "VCID-deyg-v3z9-6fet", "summary": "Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.\n\nThis issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.\n\nThe vulnerability stems from lack of sanitization over template variables.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/10873", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H" } ], "url": "https://github.com/mlflow/mlflow/pull/10873" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-240.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-240.yaml" }, { "reference_url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930", "reference_id": "", "reference_type": "", "scores": [], "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930" }, { "reference_url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H" } ], "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27132", "reference_id": "CVE-2024-27132", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27132" }, { "reference_url": "https://github.com/advisories/GHSA-6749-m5cp-6cg7", "reference_id": "GHSA-6749-m5cp-6cg7", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-6749-m5cp-6cg7" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/40186?format=api", "purl": "pkg:pypi/mlflow@2.10.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.0" } ], "aliases": [ "CVE-2024-27132", "GHSA-6749-m5cp-6cg7", "PYSEC-2024-240" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-deyg-v3z9-6fet" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36635?format=api", "vulnerability_id": "VCID-ep2z-9m6r-6ubu", "summary": "Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/432b8ccf27fd3a76df4ba79bb1bec62118a85625", "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" } ], "url": "https://github.com/mlflow/mlflow/commit/432b8ccf27fd3a76df4ba79bb1bec62118a85625" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-281.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-281.yaml" }, { "reference_url": "https://huntr.com/bounties/9e4cc07b-6fff-421b-89bd-9445ef61d34d", "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" } ], "url": "https://huntr.com/bounties/9e4cc07b-6fff-421b-89bd-9445ef61d34d" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6709", "reference_id": "CVE-2023-6709", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6709" }, { "reference_url": "https://github.com/advisories/GHSA-cxfr-5q3r-2rc2", "reference_id": "GHSA-cxfr-5q3r-2rc2", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-cxfr-5q3r-2rc2" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/38278?format=api", "purl": "pkg:pypi/mlflow@2.9.2", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-22x6-fafr-y3db" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-fsds-g6hy-jud8" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-kx8z-7c3y-kkb5" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wdb6-4eqr-myd2" }, { "vulnerability": "VCID-yseh-dp68-wkfd" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.9.2" } ], "aliases": [ "CVE-2023-6709", "GHSA-cxfr-5q3r-2rc2", "PYSEC-2023-281" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-ep2z-9m6r-6ubu" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37266?format=api", "vulnerability_id": "VCID-g9p5-4cqv-qfew", "summary": "MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface. An authenticated attacker can upload a malicious MLmodel file containing a payload that executes when another user views the artifact in the UI. This allows actions such as session hijacking or performing operations on behalf of the victim. \n\nThis issue affects MLflow version through 3.10.1", "references": [ { "reference_url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.4", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N" } ], "url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors" }, { "reference_url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.4", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N" } ], "url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/21435", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.4", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N" } ], "url": "https://github.com/mlflow/mlflow/pull/21435" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/49217?format=api", "purl": "pkg:pypi/mlflow@3.11.0rc0", "is_vulnerable": false, "affected_by_vulnerabilities": [], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@3.11.0rc0" } ], "aliases": [ "CVE-2026-33865", "PYSEC-2026-93" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-g9p5-4cqv-qfew" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37014?format=api", "vulnerability_id": "VCID-hz26-bm34-gkfx", "summary": "In mlflow/mlflow version 2.18, an admin is able to create a new user account without setting a password. This vulnerability could lead to security risks, as accounts without passwords may be susceptible to unauthorized access. Additionally, this issue violates best practices for secure user account management. The issue is fixed in version 2.19.0.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/149c9e18aa219bc47e86b432e130e467a36f4a17", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:H/A:N" } ], "url": "https://github.com/mlflow/mlflow/commit/149c9e18aa219bc47e86b432e130e467a36f4a17" }, { "reference_url": "https://huntr.com/bounties/e79f7774-10fe-46b2-b522-e73b748e3b2d", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:H/A:N" } ], "url": "https://huntr.com/bounties/e79f7774-10fe-46b2-b522-e73b748e3b2d" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/44730?format=api", "purl": "pkg:pypi/mlflow@2.19.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-rcqb-2498-77e2" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.19.0" } ], "aliases": [ "CVE-2025-1474", "PYSEC-2025-17" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-hz26-bm34-gkfx" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36735?format=api", "vulnerability_id": "VCID-j3ax-7a88-f7ff", "summary": "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/10893", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H" } ], "url": "https://github.com/mlflow/mlflow/pull/10893" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml" }, { "reference_url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932", "reference_id": "", "reference_type": "", "scores": [], "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932" }, { "reference_url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.6", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H" } ], "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27133", "reference_id": "CVE-2024-27133", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27133" }, { "reference_url": "https://github.com/advisories/GHSA-3v79-q7ph-j75h", "reference_id": "GHSA-3v79-q7ph-j75h", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-3v79-q7ph-j75h" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/40186?format=api", "purl": "pkg:pypi/mlflow@2.10.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.0" } ], "aliases": [ "CVE-2024-27133", "GHSA-3v79-q7ph-j75h", "PYSEC-2024-241" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-j3ax-7a88-f7ff" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36807?format=api", "vulnerability_id": "VCID-jbuf-3rr2-5kcv", "summary": "A Local File Inclusion (LFI) vulnerability was identified in mlflow/mlflow, specifically in version 2.9.2, which was fixed in version 2.11.3. This vulnerability arises from the application's failure to properly validate URI fragments for directory traversal sequences such as '../'. An attacker can exploit this flaw by manipulating the fragment part of the URI to read arbitrary files on the local file system, including sensitive files like '/etc/passwd'. The vulnerability is a bypass to a previous patch that only addressed similar manipulation within the URI's query string, highlighting the need for comprehensive validation of all parts of a URI to prevent LFI attacks.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/96f0b573a73d8eedd6735a2ce26e08859527be07", "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:H/I:N/A:N" } ], "url": "https://github.com/mlflow/mlflow/commit/96f0b573a73d8eedd6735a2ce26e08859527be07" }, { "reference_url": "https://huntr.com/bounties/19bf02d7-6393-4a95-b9d0-d6d4d2d8c298", "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:H/I:N/A:N" } ], "url": "https://huntr.com/bounties/19bf02d7-6393-4a95-b9d0-d6d4d2d8c298" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/41037?format=api", "purl": "pkg:pypi/mlflow@2.11.3", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.11.3" } ], "aliases": [ "CVE-2024-2928", "PYSEC-2024-242" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-jbuf-3rr2-5kcv" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36405?format=api", "vulnerability_id": "VCID-jy2j-vzv6-73gh", "summary": "Path Traversal: '\\..\\filename' in GitHub repository mlflow/mlflow prior to 2.2.1.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/7891/commits/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/pull/7891/commits/7162a50c654792c21f3e4a160eb1a0e6a34f6e6e" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-29.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-29.yaml" }, { "reference_url": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28", "reference_id": "", "reference_type": "", "scores": [], "url": "https://huntr.dev/bounties/1fe8f21a-c438-4cba-9add-e8a5dab94e28" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-1177", "reference_id": "CVE-2023-1177", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-1177" }, { "reference_url": "https://github.com/advisories/GHSA-xg73-94fp-g449", "reference_id": "GHSA-xg73-94fp-g449", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-xg73-94fp-g449" }, { "reference_url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-xg73-94fp-g449", "reference_id": "GHSA-xg73-94fp-g449", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-xg73-94fp-g449" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/32655?format=api", "purl": "pkg:pypi/mlflow@2.2.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-2kkx-3hfx-uqcf" }, { "vulnerability": "VCID-3uj4-75x9-a7ae" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-u94r-pnx1-s7c7" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.2.1" } ], "aliases": [ "CVE-2023-1177", "GHSA-xg73-94fp-g449", "PYSEC-2023-29" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-jy2j-vzv6-73gh" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36646?format=api", "vulnerability_id": "VCID-ns8z-pwe6-vbby", "summary": "Path Traversal: '\\..\\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/1da75dfcecd4d169e34809ade55748384e8af6c1", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.1", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H" } ], "url": "https://github.com/mlflow/mlflow/commit/1da75dfcecd4d169e34809ade55748384e8af6c1" }, { "reference_url": "https://huntr.com/bounties/0acdd745-0167-4912-9d5c-02035fe5b314", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.1", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H" } ], "url": "https://huntr.com/bounties/0acdd745-0167-4912-9d5c-02035fe5b314" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6831", "reference_id": "CVE-2023-6831", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6831" }, { "reference_url": "https://github.com/advisories/GHSA-554w-xh4j-8w64", "reference_id": "GHSA-554w-xh4j-8w64", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-554w-xh4j-8w64" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/38278?format=api", "purl": "pkg:pypi/mlflow@2.9.2", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-22x6-fafr-y3db" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-fsds-g6hy-jud8" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-kx8z-7c3y-kkb5" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wdb6-4eqr-myd2" }, { "vulnerability": "VCID-yseh-dp68-wkfd" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.9.2" } ], "aliases": [ "CVE-2023-6831", "GHSA-554w-xh4j-8w64", "PYSEC-2023-253" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-ns8z-pwe6-vbby" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36492?format=api", "vulnerability_id": "VCID-p21k-ac5p-9kam", "summary": "Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/6dde93758d42455cb90ef324407919ed67668b9b", "reference_id": "", "reference_type": "", "scores": [ { "value": "10.0", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H" } ], "url": "https://github.com/mlflow/mlflow/commit/6dde93758d42455cb90ef324407919ed67668b9b" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-308.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-308.yaml" }, { "reference_url": "https://huntr.dev/bounties/4be5fd63-8a0a-490d-9ee1-f33dc768ed76", "reference_id": "", "reference_type": "", "scores": [ { "value": "10.0", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H" } ], "url": "https://huntr.dev/bounties/4be5fd63-8a0a-490d-9ee1-f33dc768ed76" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-3765", "reference_id": "CVE-2023-3765", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-3765" }, { "reference_url": "https://github.com/advisories/GHSA-fmxj-6h9g-6vw3", "reference_id": "GHSA-fmxj-6h9g-6vw3", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-fmxj-6h9g-6vw3" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/34992?format=api", "purl": "pkg:pypi/mlflow@2.5.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-1r11-xvzt-suhp" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.5.0" } ], "aliases": [ "CVE-2023-3765", "GHSA-fmxj-6h9g-6vw3", "PYSEC-2023-308" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-p21k-ac5p-9kam" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36440?format=api", "vulnerability_id": "VCID-pp8q-xumx-sqax", "summary": "A directory traversal vulnerability in the /get-artifact API method of the mlflow platform up to v2.0.1 allows attackers to read arbitrary files on the server via the path parameter.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/ac4b697bb0bb8a331944dca63f4235b4bf602ab8", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/ac4b697bb0bb8a331944dca63f4235b4bf602ab8" }, { "reference_url": "https://github.com/mlflow/mlflow/commits/v2.0.0?after=00c3b0a350a28c25b16fbb7feddb8147a919ce18+69&branch=v2.0.0&qualified_name=refs%2Ftags%2Fv2.0.0", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commits/v2.0.0?after=00c3b0a350a28c25b16fbb7feddb8147a919ce18+69&branch=v2.0.0&qualified_name=refs%2Ftags%2Fv2.0.0" }, { "reference_url": "https://github.com/mlflow/mlflow/issues/7166", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/issues/7166" }, { "reference_url": "https://github.com/mlflow/mlflow/issues/7166#issuecomment-1541543234", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/issues/7166#issuecomment-1541543234" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/7170", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/pull/7170" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-30172", "reference_id": "CVE-2023-30172", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-30172" }, { "reference_url": "https://github.com/advisories/GHSA-wc6j-5g83-xfm6", "reference_id": "GHSA-wc6j-5g83-xfm6", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-wc6j-5g83-xfm6" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/32650?format=api", "purl": "pkg:pypi/mlflow@2.0.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-2kkx-3hfx-uqcf" }, { "vulnerability": "VCID-3uj4-75x9-a7ae" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-jy2j-vzv6-73gh" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pp8q-xumx-sqax" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-u94r-pnx1-s7c7" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.0.0" }, { "url": "http://public2.vulnerablecode.io/api/packages/32651?format=api", "purl": "pkg:pypi/mlflow@2.0.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-2kkx-3hfx-uqcf" }, { "vulnerability": "VCID-3uj4-75x9-a7ae" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-jy2j-vzv6-73gh" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-u94r-pnx1-s7c7" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.0.1" } ], "aliases": [ "CVE-2023-30172", "GHSA-wc6j-5g83-xfm6", "PYSEC-2023-70" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-pp8q-xumx-sqax" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36792?format=api", "vulnerability_id": "VCID-pzmb-xzk9-s7dy", "summary": "A path traversal vulnerability exists in mlflow/mlflow version 2.11.0, identified as a bypass for the previously addressed CVE-2023-6909. The vulnerability arises from the application's handling of artifact URLs, where a '#' character can be used to insert a path into the fragment, effectively skipping validation. This allows an attacker to construct a URL that, when processed, ignores the protocol scheme and uses the provided path for filesystem access. As a result, an attacker can read arbitrary files, including sensitive information such as SSH and cloud keys, by exploiting the way the application converts the URL into a filesystem path. The issue stems from insufficient validation of the fragment portion of the URL, leading to arbitrary file read through path traversal.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/f8d51e21523238280ebcfdb378612afd7844eca8", "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:H/I:N/A:N" } ], "url": "https://github.com/mlflow/mlflow/commit/f8d51e21523238280ebcfdb378612afd7844eca8" }, { "reference_url": "https://huntr.com/bounties/8d5aadaa-522f-4839-b41b-d7da362dd610", "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:H/I:N/A:N" } ], "url": "https://huntr.com/bounties/8d5aadaa-522f-4839-b41b-d7da362dd610" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/41040?format=api", "purl": "pkg:pypi/mlflow@2.12.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.12.1" } ], "aliases": [ "CVE-2024-3848", "PYSEC-2024-244" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-pzmb-xzk9-s7dy" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37088?format=api", "vulnerability_id": "VCID-rcqb-2498-77e2", "summary": "gateway_proxy_handler in MLflow before 3.1.0 lacks gateway_path validation.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/issues/15944", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/issues/15944" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/15970", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/pull/15970" }, { "reference_url": "https://github.com/mlflow/mlflow/releases/tag/v3.1.0", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/releases/tag/v3.1.0" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/45835?format=api", "purl": "pkg:pypi/mlflow@3.1.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@3.1.0" } ], "aliases": [ "CVE-2025-52967", "PYSEC-2025-52" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-rcqb-2498-77e2" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36647?format=api", "vulnerability_id": "VCID-s76e-s9ut-2bdq", "summary": "Path Traversal: '\\..\\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/1da75dfcecd4d169e34809ade55748384e8af6c1", "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:H/I:N/A:N" } ], "url": "https://github.com/mlflow/mlflow/commit/1da75dfcecd4d169e34809ade55748384e8af6c1" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-252.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-252.yaml" }, { "reference_url": "https://huntr.com/bounties/11209efb-0f84-482f-add0-587ea6b7e850", "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:H/I:N/A:N" } ], "url": "https://huntr.com/bounties/11209efb-0f84-482f-add0-587ea6b7e850" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6909", "reference_id": "CVE-2023-6909", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6909" }, { "reference_url": "https://github.com/advisories/GHSA-5r3q-93q3-f978", "reference_id": "GHSA-5r3q-93q3-f978", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-5r3q-93q3-f978" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/38278?format=api", "purl": "pkg:pypi/mlflow@2.9.2", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-22x6-fafr-y3db" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-fsds-g6hy-jud8" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-kx8z-7c3y-kkb5" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wdb6-4eqr-myd2" }, { "vulnerability": "VCID-yseh-dp68-wkfd" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.9.2" } ], "aliases": [ "CVE-2023-6909", "GHSA-5r3q-93q3-f978", "PYSEC-2023-252" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-s76e-s9ut-2bdq" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36638?format=api", "vulnerability_id": "VCID-saca-pg4n-xucu", "summary": "Path Traversal in GitHub repository mlflow/mlflow prior to 2.9.2.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/1c6309f884798fbf56017a3cc808016869ee8de4", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H" } ], "url": "https://github.com/mlflow/mlflow/commit/1c6309f884798fbf56017a3cc808016869ee8de4" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-309.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-309.yaml" }, { "reference_url": "https://huntr.com/bounties/b397b83a-527a-47e7-b912-a12a17a6cfb4", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H" } ], "url": "https://huntr.com/bounties/b397b83a-527a-47e7-b912-a12a17a6cfb4" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6753", "reference_id": "CVE-2023-6753", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6753" }, { "reference_url": "https://github.com/advisories/GHSA-v945-r3rc-6fjm", "reference_id": "GHSA-v945-r3rc-6fjm", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-v945-r3rc-6fjm" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/38278?format=api", "purl": "pkg:pypi/mlflow@2.9.2", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-22x6-fafr-y3db" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-fsds-g6hy-jud8" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-kx8z-7c3y-kkb5" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wdb6-4eqr-myd2" }, { "vulnerability": "VCID-yseh-dp68-wkfd" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.9.2" } ], "aliases": [ "CVE-2023-6753", "GHSA-v945-r3rc-6fjm", "PYSEC-2023-309" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-saca-pg4n-xucu" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36944?format=api", "vulnerability_id": "VCID-syg7-c85s-4ufu", "summary": "Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/pull/10874", "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" } ], "url": "https://github.com/mlflow/mlflow/pull/10874" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/44170?format=api", "purl": "pkg:pypi/mlflow@2.16.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-rcqb-2498-77e2" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.16.0" } ], "aliases": [ "CVE-2024-27134", "PYSEC-2024-224" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-syg7-c85s-4ufu" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36445?format=api", "vulnerability_id": "VCID-u94r-pnx1-s7c7", "summary": "Path Traversal: '\\..\\filename' in GitHub repository mlflow/mlflow prior to 2.3.1.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/fae77a525dd908c56d6204a4cef1c1c75b4e9857", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/commit/fae77a525dd908c56d6204a4cef1c1c75b4e9857" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-69.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2023-69.yaml" }, { "reference_url": "https://huntr.dev/bounties/b12b0073-0bb0-4bd1-8fc2-ec7f17fd7689", "reference_id": "", "reference_type": "", "scores": [], "url": "https://huntr.dev/bounties/b12b0073-0bb0-4bd1-8fc2-ec7f17fd7689" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2023-2780", "reference_id": "CVE-2023-2780", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-2780" }, { "reference_url": "https://github.com/advisories/GHSA-wjq3-7jxx-whj9", "reference_id": "GHSA-wjq3-7jxx-whj9", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-wjq3-7jxx-whj9" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/33501?format=api", "purl": "pkg:pypi/mlflow@2.3.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-3uj4-75x9-a7ae" }, { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-u94r-pnx1-s7c7" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.3.0" }, { "url": "http://public2.vulnerablecode.io/api/packages/33502?format=api", "purl": "pkg:pypi/mlflow@2.3.1", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-an1e-3jdw-7yaw" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-p21k-ac5p-9kam" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" }, { "vulnerability": "VCID-wwe2-hxs5-t7eq" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.3.1" } ], "aliases": [ "CVE-2023-2780", "GHSA-wjq3-7jxx-whj9", "PYSEC-2023-69" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-u94r-pnx1-s7c7" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36762?format=api", "vulnerability_id": "VCID-vd8p-48kf-yyg6", "summary": "mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the 'is_local_uri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the misclassification of URIs as non-local. Attackers can exploit this by crafting malicious model versions with specially crafted 'source' parameters, enabling the reading of sensitive files within at least two directory levels from the server's root.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow" }, { "reference_url": "https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N" } ], "url": "https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc" }, { "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-243.yaml", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-243.yaml" }, { "reference_url": "https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c", "reference_id": "", "reference_type": "", "scores": [ { "value": "9.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N" } ], "url": "https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c" }, { "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3573", "reference_id": "CVE-2024-3573", "reference_type": "", "scores": [], "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3573" }, { "reference_url": "https://github.com/advisories/GHSA-hq88-wg7q-gp4g", "reference_id": "GHSA-hq88-wg7q-gp4g", "reference_type": "", "scores": [], "url": "https://github.com/advisories/GHSA-hq88-wg7q-gp4g" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/40186?format=api", "purl": "pkg:pypi/mlflow@2.10.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-syg7-c85s-4ufu" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.0" } ], "aliases": [ "CVE-2024-3573", "GHSA-hq88-wg7q-gp4g", "PYSEC-2024-243" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-vd8p-48kf-yyg6" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/36802?format=api", "vulnerability_id": "VCID-wwe2-hxs5-t7eq", "summary": "A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.http_dataset_source.py` module. Specifically, when loading a dataset from a source URL with an HTTP scheme, the filename extracted from the `Content-Disposition` header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write. Exploiting this vulnerability could allow a malicious user to execute commands on the vulnerable machine, potentially gaining access to data and model information. The issue is fixed in version 2.9.0.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9d", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H" } ], "url": "https://github.com/mlflow/mlflow/commit/400c226953b4568f4361bc0a0c223511652c2b9d" }, { "reference_url": "https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbc", "reference_id": "", "reference_type": "", "scores": [ { "value": "8.8", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H" } ], "url": "https://huntr.com/bounties/93e470d7-b6f0-409b-af63-49d3e2a26dbc" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/38207?format=api", "purl": "pkg:pypi/mlflow@2.9.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-7m3u-tyeh-rqgz" }, { "vulnerability": "VCID-93v9-5y4m-t7dz" }, { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-deyg-v3z9-6fet" }, { "vulnerability": "VCID-ep2z-9m6r-6ubu" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-hz26-bm34-gkfx" }, { "vulnerability": "VCID-j3ax-7a88-f7ff" }, { "vulnerability": "VCID-jbuf-3rr2-5kcv" }, { "vulnerability": "VCID-ns8z-pwe6-vbby" }, { "vulnerability": "VCID-pzmb-xzk9-s7dy" }, { "vulnerability": "VCID-rcqb-2498-77e2" }, { "vulnerability": "VCID-s76e-s9ut-2bdq" }, { "vulnerability": "VCID-saca-pg4n-xucu" }, { "vulnerability": "VCID-syg7-c85s-4ufu" }, { "vulnerability": "VCID-vd8p-48kf-yyg6" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.9.0" } ], "aliases": [ "CVE-2024-0520", "PYSEC-2024-239" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-wwe2-hxs5-t7eq" } ], "fixing_vulnerabilities": [], "risk_score": null, "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@0.8.0" }