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Vulnerability details: VCID-vfkq-sva3-nybz
Vulnerability ID VCID-vfkq-sva3-nybz
Aliases CVE-2022-21728
GHSA-6gmv-pjp9-p8w8
PYSEC-2022-107
PYSEC-2022-52
Summary Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. 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.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (3)
CWE-125 Out-of-bounds Read
CWE-937 OWASP Top Ten 2013 Category A9 - Using Components with Known Vulnerabilities
CWE-1035 OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities
System Score Found at
There are no known severity scores.
Reference id Reference type URL
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-52.yaml
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-107.yaml
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671
https://github.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8
CVE-2022-21728 https://nvd.nist.gov/vuln/detail/CVE-2022-21728
GHSA-6gmv-pjp9-p8w8 https://github.com/advisories/GHSA-6gmv-pjp9-p8w8
No exploits are available.
There are no known vectors.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-02T04:16:25.597201+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-107.yaml 38.6.0