AVID-2026-R0858

Description

Division by zero in TensorFlow Lite tf.raw_ops.UnravelIndex (CVE-2021-37668)

Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.raw_ops.UnravelIndex by triggering a division by 0. The implementation does not check that the tensor subsumed by dims is not empty. Hence, if one element of dims is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. 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-2021-37668 describes a software vulnerability in TensorFlow/TensorFlow Lite (an AI framework) that can cause a denial of service via a division-by-zero in tf.raw_ops.UnravelIndex. This directly concerns AI/ML systems and their software stack, and affects components used to build/run AI systems (TensorFlow). It is a vulnerability with CVE details, impact analysis, and a fix, meeting the criteria for an AI-related, GPAI supply chain vulnerability with sufficient evidence.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2wmv-37vq-52g5
• https://github.com/tensorflow/tensorflow/commit/a776040a5e7ebf76eeb7eb923bf1ae417dd4d233

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