PT-2022-26118 · Google · Tensorflow

Pattarakrit Rattankul · Published 2022-11-18 · Updated 2024-03-06 · CVE-2022-41887

Positive Technologies (AI Summary)

CVSS v3.1

4.8

Medium

Base vector

AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.11 TensorFlow versions 2.10.1 and earlier TensorFlow versions 2.9.3 and earlier

Description TensorFlow is an open source platform for machine learning. The tf.keras.losses.poisson function receives a y pred and y true that are passed through functor::mul in BinaryOp. If the resulting dimensions overflow an int32, TensorFlow will crash due to a size mismatch during broadcast assignment.

Recommendations For TensorFlow versions prior to 2.11, update to version 2.11 or later. For TensorFlow versions 2.10.1 and earlier, update to version 2.10.1 or later. For TensorFlow versions 2.9.3 and earlier, update to version 2.9.3 or later. As a temporary workaround, consider avoiding the use of tf.keras.losses.poisson with large input dimensions until a patch is available.

Exploit

Fix

Weakness Enumeration

CWE-131

Related Identifiers

BIT-TENSORFLOW-2022-41887

CVE-2022-41887

GHSA-8FVV-46HW-VPG3

Affected Products

Tensorflow

References · 11

• 🔥 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3 · Exploit
• 🔥 https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/41xxx/CVE-2022-41887.json · Exploit
• https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c · Patch
• https://osv.dev/vulnerability/BIT-tensorflow-2022-41887 · Vendor Advisory
• https://osv.dev/vulnerability/GHSA-8fvv-46hw-vpg3 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2022-41887 · Security Note
• https://osv.dev/vulnerability/CVE-2022-41887 · Vendor Advisory
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h · Note
• https://github.com/tensorflow/tensorflow · Note
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py · Note
• https://t.me/cibsecurity/53181 · Telegram Post