CVE-2023-25667 json
TensorFlow vulnerable to segfault when opening multiframe gif
published 2023-03-24 3 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2023-25667 , EUVD-2023-1001 , GHSA-fqm2-gh8w-gr68 , PYSEC-2026-1961 , PYSEC-2026-3176 , PYSEC-2026-3321
- cvss
- 6.5
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.3%
- EPSS 0.3% chance of exploitation in 30 days, percentile 23%
- public exploits
- 0
- none known
Summary
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Patch / fix
- pypi tensorflow 2.11.1
- pypi tensorflow-cpu 2.11.1
- pypi tensorflow-gpu 2.11.1
- bitnami tensorflow 2.12.0
- google tensorflow 2.12.0
- tensorflow CBL-Mariner 2.0, Azure Linux 3.0 2.11.1-1
azure linux advisories AZL-31198AZL-35312
Azure Linux vulnerability data, Copyright (c) Microsoft Corporation, from https://github.com/microsoft/AzureLinuxVulnerabilityData via OSV, under the MIT licence; changed: normalised to fixed package versions per release. MIT
CISA SSVC
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
- Assessed
- 20 mo ago
Exploit prediction
0.31% chance of exploitation in the next 30 days, higher than 23% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H |
| NVD | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| OSV | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| OSV | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tensorflow | <2.11.1 |
2.11.1 |
| pypi | tensorflow-cpu | <2.11.1 |
2.11.1 |
| pypi | tensorflow-gpu | <2.11.1 |
2.11.1 |
| bitnami | tensorflow | <2.12.0 |
2.12.0 |
Affected products
- tensorflow tensorflow
Classification
- Weakness
-
- CWE-190 Integer Overflow or Wraparound
References
-
github.com
/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d
web, patch
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68
web, patch, vendor-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2023-25667
advisory, web
-
github.com
/tensorflow/tensorflow
package
-
pypi.org
/project/tensorflow-gpu
package
-
github.com
/advisories/GHSA-fqm2-gh8w-gr68
advisory
-
pypi.org
/project/tensorflow
package
-
pypi.org
/project/tensorflow-cpu
package
Sources
- CVE List CVE-2023-25667
- GitHub Advisory GHSA-fqm2-gh8w-gr68
- NVD CVE-2023-25667
- OSV BIT-tensorflow-2023-25667
- OSV PYSEC-2026-1961
- OSV PYSEC-2026-3176
- OSV PYSEC-2026-3321
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.