AVID-2026-R1133

Description

ThreadUnsafeUnigramCandidateSampler Heap out of bounds in Tensorflow (CVE-2022-41880)

Details

TensorFlow is an open source platform for machine learning. When the BaseCandidateSamplerOp function receives a value in true_classes larger than range_max, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2022-41880 describes a heap out-of-bounds read in TensorFlow’s BaseCandidateSamplerOp, a security vulnerability in a core ML framework. TensorFlow is widely used to build, train, and deploy AI systems, so this vulnerability is relevant to the AI software stack and its dependencies. The report provides CVE details, CVSS metrics, affected versions, and a patch commit, giving sufficient evidence for inclusion in AI system supply chain curation.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8w5g-3wcv-9g2j
• https://github.com/tensorflow/tensorflow/commit/b389f5c944cadfdfe599b3f1e4026e036f30d2d4
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/candidate_sampler_ops.cc

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: 2022-11-18
• Version: 0.3.3
• AVID Entry