CVE-2021-29613 json
Incomplete validation in `tf.raw_ops.CTCLoss`
published 2021-05-14 5 y ago modified 2026-09-10 1 mo ago also BIT-tensorflow-2021-29613 , EUVD-2021-0354 , GHSA-vvg4-vgrv-xfr7 , PYSEC-2021-250 , PYSEC-2021-541 , PYSEC-2021-739
- cvss
- 6.3
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.2%
- EPSS 0.2% chance of exploitation in 30 days, percentile 15%
- public exploits
- 0
- none known
Summary
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Patch / fix
- pypi tensorflow 2.1.4, 2.2.3, 2.3.3, 2.4.2
- pypi tensorflow-cpu 2.1.4, 2.2.3, 2.3.3, 2.4.2
- pypi tensorflow-gpu 2.1.4, 2.2.3, 2.3.3, 2.4.2
- bitnami tensorflow 2.1.4, 2.2.3, 2.3.3, 2.4.2
- google tensorflow 2.1.4, 2.2.3, 2.3.3, 2.4.2
- tensorflow Arch Linux 2.5.0-1
arch linux advisories AVG-1962
Exploit prediction
0.24% chance of exploitation in the next 30 days, higher than 15% of all scored CVEs (FIRST EPSS, 2026-11-08).
Exploits and checks
- github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7 referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 6.3 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H |
| GitHub | 3.1 | 6.3 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H |
| NVD | 3.1 | 7.1 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H |
| NVD | 2.0 | 3.6 | AV:L/AC:L/Au:N/C:P/I:N/A:P |
| OSV | 3.1 | 7.1 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tensorflow | <2.1.4 >=2.2.0, <2.2.3 >=2.3.0, <2.3.3 >=2.4.0, <2.4.2 |
2.1.4 2.2.3 2.3.3 2.4.2 |
| pypi | tensorflow-cpu | <2.1.4 >=2.2.0, <2.2.3 >=2.3.0, <2.3.3 >=2.4.0, <2.4.2 |
2.1.4 2.2.3 2.3.3 2.4.2 |
| pypi | tensorflow-gpu | <2.1.4 >=2.2.0, <2.2.3 >=2.3.0, <2.3.3 >=2.4.0, <2.4.2 |
2.1.4 2.2.3 2.3.3 2.4.2 |
| bitnami | tensorflow | <2.1.4 >=2.2.0, <2.2.3 >=2.3.0, <2.3.3 >=2.4.0, <2.4.2 |
2.1.4 2.2.3 2.3.3 2.4.2 |
Affected products
- tensorflow tensorflow
Classification
References
-
github.com
/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7
web, exploit, patch, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2021-29613
advisory, web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-541.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-739.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-250.yaml
web
-
github.com
/tensorflow/tensorflow
package
Sources
- CVE List CVE-2021-29613
- GitHub Advisory GHSA-vvg4-vgrv-xfr7
- NVD CVE-2021-29613
- OSV BIT-tensorflow-2021-29613
- OSV PYSEC-2021-250
- OSV PYSEC-2021-541
- OSV PYSEC-2021-739
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.