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CVE-2021-41211: TensorFlow is an open source platform for machine learning. In affected versions the shape inference…

Occurred
Nov 5, 2021
Published
Nov 5, 2021
Source
NVD CVE

Summary

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

Tags

  • CVE
  • CVE-2021-41211
  • cvss:HIGH

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: TensorFlow vulnerability in shape inference code causing heap OOB read, affecting ML platform functionality.

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

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