CVE-2020-26269 json
Heap out of bounds read in filesystem glob matching in TensorFlow
published 2020-12-10 5 y ago modified 2026-09-10 1 mo ago also BIT-tensorflow-2020-26269 , EUVD-2020-0216 , GHSA-9jjw-hf72-3mxw , PYSEC-2020-141 , PYSEC-2020-300 , PYSEC-2020-335
- cvss
- 7.5
- version 3.1, NVD
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.7%
- EPSS 0.7% chance of exploitation in 30 days, percentile 53%
- public exploits
- 0
- none known
Summary
In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these. This is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched.
Patch / fix
- pypi tensorflow 2.4.0
- pypi tensorflow-cpu 2.4.0
- pypi tensorflow-gpu 2.4.0
- bitnami tensorflow 2.4.0
- tensorflow Arch Linux 2.4.0-1
arch linux advisories AVG-1348
Exploit prediction
0.70% chance of exploitation in the next 30 days, higher than 53% of all scored CVEs (FIRST EPSS, 2026-11-08).
Exploits and checks
- github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9jjw-hf72-3mxw referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| GitHub | 3.1 | 9.1 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/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 |
| NVD | 2.0 | 5.0 | AV:N/AC:L/Au:N/C:N/I:N/A:P |
| OSV | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tensorflow | >=2.4.0rc0, <2.4.0 |
2.4.0 |
| pypi | tensorflow-cpu | >=2.4.0rc0, <2.4.0 |
2.4.0 |
| pypi | tensorflow-gpu | >=2.4.0rc0, <2.4.0 |
2.4.0 |
| bitnami | tensorflow | >=2.4.0-rc0, <2.4.0 >=2.4.0-rc1, <2.4.0 >=2.4.0-rc2, <2.4.0 >=2.4.0-rc3, <2.4.0 >=2.4.0-rc4, <2.4.0 |
2.4.0 |
Affected products
- tensorflow tensorflow
Classification
- Weakness
-
- CWE-125 Out-of-bounds Read
References
-
github.com
/tensorflow/tensorflow/commit/8b5b9dc96666a3a5d27fad7179ff215e3b74b67c
web, patch, third-party-advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-9jjw-hf72-3mxw
web, exploit, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/pull/40861
web
-
github.com
/tensorflow/tensorflow/pull/44310
web
-
nvd.nist.gov
/vuln/detail/CVE-2020-26269
advisory, web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-300.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-335.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-141.yaml
web
-
github.com
/tensorflow/tensorflow
package
-
github.com
/tensorflow/tensorflow/blob/458c6260265c46ebaf18052d6c61aea4b6b40926/tensorflow/core/platform/file_system_help
web
-
github.com
/tensorflow/tensorflow/blob/458c6260265c46ebaf18052d6c61aea4b6b40926/tensorflow/core/platform/file_system_help
web
Sources
- CVE List CVE-2020-26269
- GitHub Advisory GHSA-9jjw-hf72-3mxw
- NVD CVE-2020-26269
- OSV BIT-tensorflow-2020-26269
- OSV PYSEC-2020-141
- OSV PYSEC-2020-300
- OSV PYSEC-2020-335
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.