AVID-2026-R0860

Description

Heap OOB in UpperBound and LowerBound in TensorFlow (CVE-2021-37670)

Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.UpperBound. The implementation does not validate the rank of sorted_input argument. A similar issue occurs in tf.raw_ops.LowerBound. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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-2021-37670 describes a heap out-of-bounds read in TensorFlow’s tf.raw_ops UpperBound/LowerBound, a vulnerability in a widely used ML framework. This is a software supply-chain-relevant issue affecting dependencies used to build/train/deploy AI systems, is a security vulnerability (data leak risk via OOB read), and clear evidence of affected versions and patch. It fits AVID criteria for AI-related supply-chain vulnerability.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9697-98pf-4rw7
• https://github.com/tensorflow/tensorflow/commit/42459e4273c2e47a3232cc16c4f4fff3b3a35c38

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