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CVE-2022-35973: TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar …

Occurred
Sep 16, 2022
Published
Sep 16, 2022
Source
NVD CVE

Summary

TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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.

Tags

  • CVE
  • CVE-2022-35973
  • cvss:MEDIUM

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: TensorFlow vulnerability causing denial of service in ML framework, not a direct AI safety incident but related to ML infrastructure.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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