AVID-2026-R0854

Description

Heap OOB in boosted trees in TensorFlow (CVE-2021-37664)

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 BoostedTreesSparseCalculateBestFeatureSplit. The implementation needs to validate that each value in stats_summary_indices is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. 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-2021-37664 describes a heap out-of-bounds read vulnerability in TensorFlow’s Boosted Trees component. This is a software vulnerability in a widely-used AI framework, impacting models/training pipelines and requiring a patch. TensorFlow is a core component in general-purpose AI systems, so this clearly affects the software supply chain for AI systems. The report provides explicit details (affected versions, nature of the bug, patch commit), supporting its relevance to AI software supply chains.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r4c4-5fpq-56wg
• https://github.com/tensorflow/tensorflow/commit/e84c975313e8e8e38bb2ea118196369c45c51378

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