AVID-2026-R0830

Description

Integer division by 0 in sparse reshaping in TensorFlow (CVE-2021-37640)

Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The reshape functor blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.

Reason for inclusion in AVID: CVE-2021-37640 is a software vulnerability in TensorFlow (SparseReshape) causing a division-by-zero error. TensorFlow is a core ML framework used in AI model training and serving, making this issue relevant to AI systems and their software supply chain. The advisory describes the vulnerability, its impact, and a patch (commit) with a planned fix in TensorFlow 2.6.0, indicating clear evidence of a security/safety vulnerability in a component commonly used in AI pipelines.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-95xm-g58g-3p88
• https://github.com/tensorflow/tensorflow/commit/4923de56ec94fff7770df259ab7f2288a74feb41

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