CVE-2022-21728

Advisory

Tensorflow-rocm versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-21728: 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.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8

Affected package

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-21728
• 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