AVID-2026-R0911

Description

Use after free in CollectiveReduceV2 (CVE-2021-41220)

Details

TensorFlow is an open source platform for machine learning. In affected versions the async implementation of CollectiveReduceV2 suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been std::move()d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

Reason for inclusion in AVID: The CVE describes a memory-corruption vulnerability (use-after-free) in TensorFlow’s CollectiveReduceV2, a core AI framework. This directly concerns software used to build/train/deploy AI systems, i.e., general-purpose AI software stacks. The issue affects TensorFlow versions and has a documented fix, with references to the NVD entry and GitHub advisories/commit. This constitutes a security vulnerability in a software component relevant to AI supply chains.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gpfh-jvf9-7wg5
• https://github.com/tensorflow/tensorflow/commit/ca38dab9d3ee66c5de06f11af9a4b1200da5ef75

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: 2021-11-05
• Version: 0.3.3
• AVID Entry