Skip to content
LLMMedium

CVE-2022-35979: TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` a…

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

Summary

TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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-2022-35979
  • cvss:MEDIUM

Classification

Category confidence: 85%
Severity confidence: 90%

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

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

Visit source