CVE-2022-23583

Vulnerability Description

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.

CVSS Score

Affected Products

Related Weaknesses (CWE)

References

• https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715ExploitThird Party Advisory
• https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9fPatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjqc-q9g6-q2j3PatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715ExploitThird Party Advisory
• https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9fPatchThird Party Advisory
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjqc-q9g6-q2j3PatchThird Party Advisory