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CVE-2021-29600: TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `On…

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 the `OneHot` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc#L68-L72). An attacker can craft a model such that at least one of the dimensions of `indices` would be 0. In turn, the `prefix_dim_size` value would become 0. 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-2021-29600
  • cvss:LOW

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: TensorFlow vulnerability affects ML platform but no direct harm reported, classified as LLM due to ML framework context.

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

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