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OpenAdvisories
Low · 2.5 CVE-2021-29548 BIT-tensorflow-2021-29548EUVD-2021-0289GHSA-p45v-v4pw-77jrPYSEC-2021-185PYSEC-2021-476PYSEC-2021-674

Division by 0 in `QuantizedBatchNormWithGlobalNormalization`

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

Vendor: TensorFlow Product: TensorFlow Package: tensorflow Package: tensorflow-cpu Package: tensorflow-gpu Ecosystem: PyPI

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). 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-p45v-v4pw-77jr
PyPI tensorflow >= 2.2.0, < 2.2.3 2.2.3 GHSA-p45v-v4pw-77jr
PyPI tensorflow >= 2.3.0, < 2.3.3 2.3.3 GHSA-p45v-v4pw-77jr
PyPI tensorflow >= 2.4.0, < 2.4.2 2.4.2 GHSA-p45v-v4pw-77jr
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-2021-185
PyPI tensorflow-cpu < 2.1.4 2.1.4 GHSA-p45v-v4pw-77jr
PyPI tensorflow-cpu >= 2.2.0, < 2.2.3 2.2.3 GHSA-p45v-v4pw-77jr
PyPI tensorflow-cpu >= 2.3.0, < 2.3.3 2.3.3 GHSA-p45v-v4pw-77jr
PyPI tensorflow-cpu >= 2.4.0, < 2.4.2 2.4.2 GHSA-p45v-v4pw-77jr
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-2021-476
PyPI tensorflow-gpu < 2.1.4 2.1.4 GHSA-p45v-v4pw-77jr
PyPI tensorflow-gpu >= 2.2.0, < 2.2.3 2.2.3 GHSA-p45v-v4pw-77jr
PyPI tensorflow-gpu >= 2.3.0, < 2.3.3 2.3.3 GHSA-p45v-v4pw-77jr
PyPI tensorflow-gpu >= 2.4.0, < 2.4.2 2.4.2 GHSA-p45v-v4pw-77jr
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-2021-674

References