AVID-2026-R0845

Description

Heap OOB in ResourceScatterUpdate in TensorFlow (CVE-2021-37655)

Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to tf.raw_ops.ResourceScatterUpdate. The implementation has an incomplete validation of the relationship between the shapes of indices and updates: instead of checking that the shape of indices is a prefix of the shape of updates (so that broadcasting can happen), code only checks that the number of elements in these two tensors are in a divisibility relationship. We have patched the issue in GitHub commit 01cff3f986259d661103412a20745928c727326f. 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-2021-37655 describes a heap out-of-bounds vulnerability in TensorFlow’s ResourceScatterUpdate, a core AI framework component. It affects TensorFlow versions used to build/train/deploy AI systems, constituting a software supply-chain risk for general-purpose AI stacks. It is a CVE-style vulnerability with measurable impact (CVE/CVSS), and the report provides enough details (vulnerability description, affected versions, and patch info) to support curation.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7fvx-3jfc-2cpc
• https://github.com/tensorflow/tensorflow/commit/01cff3f986259d661103412a20745928c727326f

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