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CVE-2021-29574: TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw…

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

Summary

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.cc#L679-L703) fails to validate that the 3 tensor inputs are not empty. If any of them is empty, then accessing the elements in the tensor results in dereferencing a null pointer. 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-2021-29574
  • cvss:LOW

Classification

Category confidence: 85%
Severity confidence: 90%

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

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

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