CVE-2023-25667 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.11.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS: 0.0016 pctl0.37408

Details

TensorFlow vulnerable to segfault when opening multiframe gif ### Impact Integer overflow occurs when 2^31 <= num_frames * height * width * channels < 2^32, for example Full HD screencast of at least 346 frames. ```python import urllib.request dat = urllib.request.urlopen('https://raw.githubusercontent.com/tensorflow/tensorflow/1c38ad9b78ffe06076745a1ee00cec42f39ff726/tensorflow/core/lib/gif/testdata/3g_multiframe.gif').read() import tensorflow as tf tf.io.decode_gif(dat) ``` ### Patches We have patched the issue in GitHub commit [8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d](https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d). The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1 ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Andrei

Metadata

Created: 2023-03-24T21:57:09Z
Modified: 2023-03-27T22:02:10Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-fqm2-gh8w-gr68/GHSA-fqm2-gh8w-gr68.json
CWE IDs: ["CWE-190"]
Alternative ID: GHSA-fqm2-gh8w-gr68
Finding: F111
Auto approve: 1