PT-2021-18354 · Google · Tensorflow

Mihaimaruseac

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Published

2021-05-14

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Updated

2024-03-06

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CVE-2021-29603

CVSS v3.1

7.8

High

VectorAV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/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 A specially crafted TFLite model could trigger an out-of-bounds write on the heap in the TFLite implementation of ArgMin/ArgMax. If the axis value is not a value between 0 and NumDimensions(input), then the condition in the if statement is never true, so the code writes past the last valid element of output dims->data.
Recommendations For versions prior to 2.5.0, update to TensorFlow 2.5.0 or later. For versions 2.4.2 and earlier, update to TensorFlow 2.4.2 or later. For versions 2.3.3 and earlier, update to TensorFlow 2.3.3 or later. For versions 2.2.3 and earlier, update to TensorFlow 2.2.3 or later. For versions 2.1.4 and earlier, update to TensorFlow 2.1.4 or later. As a temporary workaround, consider restricting the use of the ArgMin/ArgMax functions until a patch is available.

Exploit

Fix

Memory Corruption

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Weakness Enumeration

Related Identifiers

BIT-TENSORFLOW-2021-29603
CVE-2021-29603
GHSA-CRCH-J389-5F84
PYSEC-2021-240
PYSEC-2021-531
PYSEC-2021-729

Affected Products

Tensorflow