AVID-2026-R1061

Description

CHECK failure in SobolSample via missing validation in TensorFlow (CVE-2022-35935)

Details

TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming input(0), input(1), and input(2) to be scalar. This issue has been patched in GitHub commit c65c67f88ad770662e8f191269a907bf2b94b1bf. 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-2022-35935 describes a denial-of-service via assertion in TensorFlow’s SobolSampleOp. TensorFlow is a core ML framework used in AI systems, and the issue resides in a software component that is part of the AI software stack (training/serving pipelines). This is a software vulnerability in a dependency/toolchain used to build/deploy AI systems, with a public patch and references, making it suitable for AVID curation.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-97p7-w86h-vcf9
• https://github.com/tensorflow/tensorflow/commit/c65c67f88ad770662e8f191269a907bf2b94b1bf

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