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CVE-2021-29582: TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in …

Occurred
May 14, 2021
Published
May 14, 2021
Source
NVD CVE

Summary

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Tags

  • CVE
  • CVE-2021-29582
  • cvss:LOW

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: CVE describes a memory safety vulnerability in TensorFlow ML framework, not a direct AI safety incident.

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

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