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CVE-2021-29553: TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data out…

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

Summary

TensorFlow is an end-to-end open source platform for machine learning. An attacker can read data outside of bounds of heap allocated buffer in `tf.raw_ops.QuantizeAndDequantizeV3`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/11ff7f80667e6490d7b5174aa6bf5e01886e770f/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L237) does not validate the value of user supplied `axis` attribute before using it to index in the array backing the `input` argument. 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-2021-29553
  • cvss:LOW

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: CVE describes a buffer overflow vulnerability in TensorFlow ML library, affecting model operations but not causing direct physical harm.

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

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