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CVE-2021-29546: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an 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. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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.

Classification

Category confidence: 90%

Severity confidence: 85%

Rationale: CVE in TensorFlow ML framework causing undefined behavior, not a direct AI safety incident but a technical vulnerability in ML software.

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

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