AVID-2026-R1103

Description

CHECK fail in tf.random.gamma in TensorFlow (CVE-2022-36004)

Details

TensorFlow is an open source platform for machine learning. When tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3. 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 for this issue.

Reason for inclusion in AVID: CVE-2022-36004 is a vulnerability in TensorFlow (a core ML framework) where tf.random.gamma can trigger a denial of service under certain input conditions. TensorFlow is a key dependency in AI model training and deployment stacks, making this a software supply chain issue within general-purpose AI systems. It concerns AI frameworks, affects AI workflows, and is a CVE-style security vulnerability with a patch available. Sufficient evidence is provided (description, affected versions, patch, references).

References

• NVD entry
• https://github.com/tensorflow/tensorflow/commit/552bfced6ce4809db5f3ca305f60ff80dd40c5a3
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mv8m-8x97-937q

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