PT-2021-21785 · Google · Tensorflow

Published

2021-08-12

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Updated

2024-03-06

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CVE-2021-37668

CVSS v4.0

6.8

Medium

VectorAV:L/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 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier
Description An attacker can cause denial of service in applications serving models using tf.raw ops.UnravelIndex by triggering a division by 0. The implementation does not check that the tensor subsumed by dims is not empty. Hence, if one element of dims is 0, the implementation does a division by 0.
Recommendations For versions prior to 2.6.0, update to TensorFlow 2.6.0 or later. For versions 2.5.1 and earlier, update to TensorFlow 2.5.1 or later. For versions 2.4.3 and earlier, update to TensorFlow 2.4.3 or later. For versions 2.3.4 and earlier, update to TensorFlow 2.3.4 or later. As a temporary workaround, consider avoiding the use of tf.raw ops.UnravelIndex with dims containing a 0 value until a patch is available.

Fix

Divide By Zero

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Weakness Enumeration

Related Identifiers

BIT-TENSORFLOW-2021-37668
CVE-2021-37668
GHSA-2WMV-37VQ-52G5
OPENSUSE-SU-2022:10014-1
OPENSUSE-SU-2024:12116-1
PYSEC-2021-290
PYSEC-2021-581
PYSEC-2021-779

Affected Products

Tensorflow