AVID-2026-R1064

Description

Out of bounds write in scatter_nd op in TensorFlow Lite (CVE-2022-35939)

Details

TensorFlow is an open source platform for machine learning. The ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Reason for inclusion in AVID: CVE-2022-35939 describes an out-of-bounds write in TensorFlow Lite’s ScatterNd op. This is a vulnerability in a core AI framework component, affecting AI systems that rely on TensorFlow Lite. It is a software supply-chain risk for general-purpose AI stacks (dependencies, runtimes, model execution). The report includes impact details, CVSS, affected versions, and a fix/commit, providing clear evidence. Therefore, it should be kept for AVID curation.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-ffjm-4qwc-7cmf
• https://github.com/tensorflow/tensorflow/commit/b4d4b4cb019bd7240a52daa4ba61e3cc814f0384
• https://github.com/tensorflow/tensorflow/blob/266558ac4c1f361e9a178ee9d3f0ce2e648ae499/tensorflow/lite/kernels/internal/reference/reference_ops.h#L659-L698

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: 2022-09-16
• Version: 0.3.3
• AVID Entry