CVE-2021-29546

LOW

TensorFlow < 2.1.4 - Integer Division by Zero in QuantizedBiasAdd Eigen Kernel

Title source: llm
STIX 2.1

Description

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.

References (2)

Core 2
Core References
Exploit, Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m34j-p8rj-wjxq

Scores

CVSS v3 2.5
EPSS 0.0020
EPSS Percentile 10.0%
Attack Vector LOCAL
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

Details

CWE
CWE-369
Status published
Products (4)
google/tensorflow < 2.1.4
pypi/tensorflow 0 - 2.1.4PyPI
pypi/tensorflow-cpu 0 - 2.1.4PyPI
pypi/tensorflow-gpu 0 - 2.1.4PyPI
Published May 14, 2021
Tracked Since Feb 18, 2026