AVID-2026-R0871

Description

Division by zero in TensorFlow Lite division operations (CVE-2021-37683)

Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2021-37683 describes a division-by-zero vulnerability in TensorFlow Lite, a core ML framework/component. It affects AI software stacks (ML models/runtimes), is a vulnerability in a software dependency used to build/deploy/run AI systems, and has security implications (potential crash/DoS). The CVE entry provides affected versions, a fix commit, and references, giving sufficient evidence for curation.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rhrq-64mq-hf9h
• https://github.com/tensorflow/tensorflow/commit/1e206baedf8bef0334cca3eb92bab134ef525a28

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: 2021-08-12
• Version: 0.3.3
• AVID Entry