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OpenAdvisories
Low · 2.5 CVE-2021-29527 BIT-tensorflow-2021-29527EUVD-2021-0268GHSA-x4g7-fvjj-prg8PYSEC-2021-164PYSEC-2021-455PYSEC-2021-653

Division by 0 in `QuantizedConv2D`

Published May 14, 2021 · Updated Aug 3, 2024 · Assigned by GitHub_M

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedConv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/00e9a4d67d76703fa1aee33dac582acf317e0e81/tensorflow/core/kernels/quantized_conv_ops.cc#L257-L259) does a division by a quantity that is controlled by the caller. 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.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.1.4 2.1.4 GHSA-x4g7-fvjj-prg8
PyPI tensorflow >= 2.2.0, < 2.2.3 2.2.3 GHSA-x4g7-fvjj-prg8
PyPI tensorflow >= 2.3.0, < 2.3.3 2.3.3 GHSA-x4g7-fvjj-prg8
PyPI tensorflow >= 2.4.0, < 2.4.2 2.4.2 GHSA-x4g7-fvjj-prg8
PyPI tensorflow < 2.1.4 · >= 2.2.0, < 2.2.3 · >= 2.3.0, < 2.3.3 · >= 2.4.0, < 2.4.2 2.1.4, 2.2.3, 2.3.3, 2.4.2 PYSEC-2021-164
PyPI tensorflow-cpu < 2.1.4 2.1.4 GHSA-x4g7-fvjj-prg8
PyPI tensorflow-cpu >= 2.2.0, < 2.2.3 2.2.3 GHSA-x4g7-fvjj-prg8
PyPI tensorflow-cpu >= 2.3.0, < 2.3.3 2.3.3 GHSA-x4g7-fvjj-prg8
PyPI tensorflow-cpu >= 2.4.0, < 2.4.2 2.4.2 GHSA-x4g7-fvjj-prg8
PyPI tensorflow-cpu < 2.1.4 · >= 2.2.0, < 2.2.3 · >= 2.3.0, < 2.3.3 · >= 2.4.0, < 2.4.2 2.1.4, 2.2.3, 2.3.3, 2.4.2 PYSEC-2021-455
PyPI tensorflow-gpu < 2.1.4 2.1.4 GHSA-x4g7-fvjj-prg8
PyPI tensorflow-gpu >= 2.2.0, < 2.2.3 2.2.3 GHSA-x4g7-fvjj-prg8
PyPI tensorflow-gpu >= 2.3.0, < 2.3.3 2.3.3 GHSA-x4g7-fvjj-prg8
PyPI tensorflow-gpu >= 2.4.0, < 2.4.2 2.4.2 GHSA-x4g7-fvjj-prg8
PyPI tensorflow-gpu < 2.1.4 · >= 2.2.0, < 2.2.3 · >= 2.3.0, < 2.3.3 · >= 2.4.0, < 2.4.2 2.1.4, 2.2.3, 2.3.3, 2.4.2 PYSEC-2021-653

References