Skip to content

TensorFlow vulnerable to segfault when opening multiframe gif

Moderate severity GitHub Reviewed Published Mar 24, 2023 in tensorflow/tensorflow • Updated Mar 27, 2023

Package

pip tensorflow (pip)

Affected versions

< 2.11.1

Patched versions

2.11.1
pip tensorflow-cpu (pip)
< 2.11.1
2.11.1
pip tensorflow-gpu (pip)
< 2.11.1
2.11.1

Description

Impact

Integer overflow occurs when 2^31 <= num_frames * height * width * channels < 2^32, for example Full HD screencast of at least 346 frames.

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.

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 for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Andrei

References

@pak-laura pak-laura published to tensorflow/tensorflow Mar 24, 2023
Published to the GitHub Advisory Database Mar 24, 2023
Reviewed Mar 24, 2023
Published by the National Vulnerability Database Mar 25, 2023
Last updated Mar 27, 2023

Severity

Moderate
6.5
/ 10

CVSS base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
Required
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Weaknesses

CVE ID

CVE-2023-25667

GHSA ID

GHSA-fqm2-gh8w-gr68

Source code

Checking history
See something to contribute? Suggest improvements for this vulnerability.