AVID-2026-R1156

Description

Heap out of bounds read in QuantizeAndDequantizeV2 in Tensorflow (CVE-2022-41910)

Details

TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.

Reason for inclusion in AVID: The report describes CVE-2022-41910: a heap out-of-bounds read in TensorFlow (QuantizeAndDequantizeV2) affecting the TensorFlow ML framework. This is a software vulnerability in a core AI software stack component used for training/deploying AI systems, with patch information provided. It directly concerns a dependency used in general-purpose AI pipelines, and includes explicit vulnerability details and remediation signals.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv
• https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221

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: 2022-12-06
• Version: 0.3.3
• AVID Entry