AVID-2026-R1066

Description

CHECK failure in AvgPoolOp in Tensorflow (CVE-2022-35941)

Details

TensorFlow is an open source platform for machine learning. The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds to this issue.

Reason for inclusion in AVID: CVE-2022-35941 concerns TensorFlow’s AvgPoolOp: an improper validation of ksize leads to a CHECK failure and crash. This is a vulnerability in a widely used AI software framework, impacting AI models/training/deployment stacks. It pertains to software components used to build/run general-purpose AI systems (TensorFlow), with CVE details and a patch reference, indicating a verifiable security issue. The issue is software-based, relevant to AI pipelines, and has evidence in the advisory and commit references.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mgmh-g2v6-mqw5
• https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f
• https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/avgpooling_op.cc#L56-L98

Affected or Relevant Artifacts

• Developer: tensorflow
• Deployer: tensorflow
• Artifact Details:

Impact

AVID Taxonomy Categorization

• Risk domains: Security
• SEP subcategories: S0100: Software Vulnerability
• Lifecycle stages: L06: Deployment

CVSS

CWE

Other information

• Report Type: Advisory
• Credits:
• Date Reported: 2022-09-16
• Version: 0.3.3
• AVID Entry