PT-2021-18324 · Google · Tensorflow

Yakun Zhang + 1 · Published 2021-05-14 · Updated 2024-03-06 · CVE-2021-29573

Positive Technologies (AI Summary)

CVSS v3.1

5.5

Medium

Base vector

AV: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 The implementation of tf.raw ops.MaxPoolGradWithArgmax is vulnerable to a division by 0. The implementation fails to validate that the batch dimension of the tensor is non-zero, before dividing by this quantity.

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 avoiding the use of tf.raw ops.MaxPoolGradWithArgmax until a patch is available.

Exploit

Fix

Divide By Zero

Weakness Enumeration

CWE-369

Related Identifiers

BIT-TENSORFLOW-2021-29573

CVE-2021-29573

GHSA-9VPM-RCF4-9WQW

PYSEC-2021-210

PYSEC-2021-501

PYSEC-2021-699

Affected Products

Tensorflow

References · 14

• 🔥 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9vpm-rcf4-9wqw · Exploit
• https://github.com/tensorflow/tensorflow/commit/376c352a37ce5a68b721406dc7e77ac4b6cf483d · Patch
• https://osv.dev/vulnerability/GHSA-9vpm-rcf4-9wqw · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2021-699 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2021-29573 · Security Note
• https://osv.dev/vulnerability/PYSEC-2021-210 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2021-501 · Vendor Advisory
• https://osv.dev/vulnerability/BIT-tensorflow-2021-29573 · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2021-29573 · Vendor Advisory
• https://github.com/tensorflow/tensorflow · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-501.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-699.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-210.yaml · Note
• https://t.me/cvenotify/14740 · Telegram Post