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OpenAdvisories
Medium · 6.5 CVE-2022-21741 BIT-tensorflow-2022-21741EUVD-2022-0304GHSA-428x-9xc2-m8mjPYSEC-2022-120PYSEC-2022-65PYSEC-2026-3095

Division by zero in TFLite

Published Feb 3, 2022 · Updated May 5, 2025 · Assigned by GitHub_M

Description

Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.5.3 2.5.3 GHSA-428x-9xc2-m8mj
PyPI tensorflow >= 2.6.0, < 2.6.3 2.6.3 GHSA-428x-9xc2-m8mj
PyPI tensorflow >= 2.7.0, < 2.7.1 2.7.1 GHSA-428x-9xc2-m8mj
PyPI tensorflow < 2.5.3 · >= 2.6.0, < 2.6.3 · >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1 PYSEC-2026-3095
PyPI tensorflow-cpu < 2.5.3 2.5.3 GHSA-428x-9xc2-m8mj
PyPI tensorflow-cpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-428x-9xc2-m8mj
PyPI tensorflow-cpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-428x-9xc2-m8mj
PyPI tensorflow-cpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-65
PyPI tensorflow-gpu < 2.5.3 2.5.3 GHSA-428x-9xc2-m8mj
PyPI tensorflow-gpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-428x-9xc2-m8mj
PyPI tensorflow-gpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-428x-9xc2-m8mj
PyPI tensorflow-gpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-120

References