PT-2022-15082 · Google · Tensorflow

Wang Xuan

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Published

2022-02-03

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Updated

2024-03-06

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CVE-2022-21741

CVSS v4.0

7.1

High

VectorAV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1, 2.6.3, and 2.5.3 are also affected
Description An attacker can craft a TFLite model to trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution, which are user-controlled, are used in a division operation to determine the padding size before applying the convolution. There is no check to ensure the divisor is strictly positive.
Recommendations For versions prior to 2.8.0, update to TensorFlow 2.8.0 or later. For version 2.7.1, update to a version that includes the cherrypicked commit. For version 2.6.3, update to a version that includes the cherrypicked commit. For version 2.5.3, update to a version that includes the cherrypicked commit. As a temporary workaround, consider restricting the use of user-controlled convolution parameters to minimize the risk of exploitation.

Exploit

Fix

Divide By Zero

Weakness Enumeration

Related Identifiers

BIT-TENSORFLOW-2022-21741
CVE-2022-21741
GHSA-428X-9XC2-M8MJ
OPENSUSE-SU-2024:12116-1
PYSEC-2022-120
PYSEC-2022-65

Affected Products

Tensorflow