AVID-2026-R1102

Description

CHECK fail in RandomPoissonV2 in TensorFlow (CVE-2022-36003)

Details

TensorFlow is an open source platform for machine learning. When RandomPoissonV2 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-2022-36003 describes a vulnerability in the TensorFlow RandomPoissonV2 that can trigger a denial of service via a crafted input shape/rate. TensorFlow is a core AI framework used in ML pipelines; a vulnerability in TensorFlow affects the software supply chain of general-purpose AI systems. The report includes CVE details, affected versions, a patch commit, and CVSS data, establishing it as a security vulnerability in a key AI software component.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cv2p-32v3-vhwq
• https://github.com/tensorflow/tensorflow/commit/552bfced6ce4809db5f3ca305f60ff80dd40c5a3

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