PT-2021-18277 · Google · Tensorflow

Yakun Zhang

+1

·

Published

2021-05-14

·

Updated

2024-03-06

·

CVE-2021-29526

CVSS v3.1

5.5

Medium

VectorAV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier
Description: An attacker can trigger a division by 0 in tf.raw ops.Conv2D because the implementation does a division by a quantity that is controlled by the caller. This issue can be exploited by providing a specially crafted input to the tf.raw ops.Conv2D function, which can cause a division by zero error.
Recommendations: For TensorFlow versions prior to 2.5.0, update to version 2.5.0 or later to resolve the issue. For TensorFlow versions 2.4.2 and earlier, update to version 2.4.2 or later to resolve the issue. For TensorFlow versions 2.3.3 and earlier, update to version 2.3.3 or later to resolve the issue. For TensorFlow versions 2.2.3 and earlier, update to version 2.2.3 or later to resolve the issue. For TensorFlow versions 2.1.4 and earlier, update to version 2.1.4 or later to resolve the issue. As a temporary workaround, consider avoiding the use of the tf.raw ops.Conv2D function with untrusted input until a patch is available.

Exploit

Fix

Divide By Zero

Found an issue in the description? Have something to add? Feel free to write us 👾

Weakness Enumeration

Related Identifiers

BIT-TENSORFLOW-2021-29526
CVE-2021-29526
GHSA-4VF2-4XCG-65CX
PYSEC-2021-163
PYSEC-2021-454
PYSEC-2021-652

Affected Products

Tensorflow