CVE-2021-29548

Division by 0 in `QuantizedBatchNormWithGlobalNormalization`

State: Published
Severity: 2.5 Low
Published: May 14, 2021
Updated: Aug 3, 2024
Reserved: Mar 30, 2021

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.

Scores

CVSS	Score	Vector	Source
3.1	2.5 Low	CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L	GitHub_M

Weaknesses

CWE-369 Divide By Zero

Affected Products

Product	Versions
tensorflowtensorflow	< 2.1.4Affected >= 2.2.0, < 2.2.3Affected >= 2.3.0, < 2.3.3Affected >= 2.4.0, < 2.4.2Affected

References

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