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CVE-2021-29559: TensorFlow is an end-to-end open source platform for machine learning. An attacker can access data o…

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 access data outside of bounds of heap allocated array in `tf.raw_ops.UnicodeEncode`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/472c1f12ad9063405737679d4f6bd43094e1d36d/tensorflow/core/kernels/unicode_ops.cc) assumes that the `input_value`/`input_splits` pair specify a valid sparse tensor. 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-2021-29559
  • cvss:LOW

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: CVE in TensorFlow ML platform, potential data access vulnerability, but no confirmed exploitation or major harm reported.

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

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