AVID-2026-R1065

Description

Int overflow in RaggedRangeOp in Tensoflow (CVE-2022-35940)

Details

TensorFlow is an open source platform for machine learning. The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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: This CVE describes an integer overflow in TensorFlow’s RaggedRangeOp that can cause an abort/crash. TensorFlow is a core AI framework, and the issue affects software used to build/train/deploy general-purpose AI systems (e.g., model serving, data pipelines). It is a software supply-chain issue since it concerns a widely used AI software component, not hardware/firmware. The vulnerability has CVSS data, official advisories, and a patch/backport reference, providing sufficient evidence for curation.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x989-q2pq-4q5x
• https://github.com/tensorflow/tensorflow/commit/37cefa91bee4eace55715eeef43720b958a01192
• https://github.com/tensorflow/tensorflow/blob/0b6b491d21d6a4eb5fbab1cca565bc1e94ca9543/tensorflow/core/kernels/ragged_range_op.cc#L74-L88

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