AVID-2026-R0984

Description

CHECK-failures in TensorByteSize in Tensorflow (CVE-2022-23582)

Details

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. TensorShape constructor throws a CHECK-fail if shape is partial or has a number of elements that would overflow the size of an int. The PartialTensorShape constructor instead does not cause a CHECK-abort if the shape is partial, which is exactly what this function needs to be able to return -1. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2022-23582 describes a vulnerability in TensorFlow (an Open Source ML framework) where an attacker can cause a denial of service by altering a SavedModel, triggering CHECK failures. This directly concerns AI/ML software stacks and frameworks, is present in a widely used component in AI pipelines, and has explicit CVE details, affected versions, and a fix. Therefore it is an AI software supply-chain vulnerability affecting general-purpose AI systems, with clear security impact and sufficient evidence.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4j82-5ccr-4r8v
• https://github.com/tensorflow/tensorflow/commit/c2426bba00a01de6913738df8fa78e0215fcce02
• https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/attr_value_util.cc#L46-L50

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: 2022-02-04
• Version: 0.3.3
• AVID Entry