AVID-2026-R0831

Description

Heap OOB in RaggedGather in TensorFlow (CVE-2021-37641)

Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to tf.raw_ops.RaggedGather don’t determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The implementation directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 (i.e., it is not a scalar). Furthermore, the implementation does not check that the list given by params_nested_splits is not an empty list of tensors. We have patched the issue in GitHub commit a2b743f6017d7b97af1fe49087ae15f0ac634373. 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: This CVE is a software vulnerability in TensorFlow (an ML framework). It concerns AI systems, is located in a core dependency used to build/train/deploy general-purpose AI systems, is a CVE with a notable impact (out-of-bounds read, local access), and the report provides explicit details and a fix, offering sufficient evidence for curation.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-vvrj-w2p8
• https://github.com/tensorflow/tensorflow/commit/a2b743f6017d7b97af1fe49087ae15f0ac634373

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