CVE-2022-21731

Vulnerability Description

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.

CVSS Score

Affected Products

Related Weaknesses (CWE)

References

• https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ExploitThird Party Advisory
• https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ExploitThird Party Advisory
• https://github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f611729f5PatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m4hf-j54p-p353PatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ExploitThird Party Advisory
• https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ExploitThird Party Advisory
• https://github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f611729f5PatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m4hf-j54p-p353PatchThird Party Advisory