CVE-2022-41895 json
`MirrorPadGrad` heap out of bounds read in Tensorflow
published 2022-11-18 3 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-41895 , EUVD-2022-7351 , GHSA-gq2j-cr96-gvqx , PYSEC-2026-1000 , PYSEC-2026-3192 , PYSEC-2026-3332
- cvss
- 4.8
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.5%
- EPSS 0.5% chance of exploitation in 30 days, percentile 42%
- public exploits
- 0
- none known
Summary
TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Patch / fix
- pypi tensorflow 2.8.4, 2.9.3, 2.10.1
- pypi tensorflow-cpu 2.8.4, 2.9.3, 2.10.1
- pypi tensorflow-gpu 2.8.4, 2.9.3, 2.10.1
- bitnami tensorflow 2.8.4, 2.9.3, 2.10.1
- google tensorflow 2.8.4, 2.9.3, 2.10.1
CISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- no
- Technical impact
- partial
- Assessed
- 18 mo ago
Exploit prediction
0.49% chance of exploitation in the next 30 days, higher than 42% of all scored CVEs (FIRST EPSS, 2026-11-08).
Exploits and checks
- github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gq2j-cr96-gvqx referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 4.8 | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 4.8 | CVSS:3.1/AV:N/AC:H/PR:L/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 | 4.8 | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tensorflow | <2.8.4 >=2.9.0, <2.9.3 >=2.10.0, <2.10.1 |
2.8.4 2.9.3 2.10.1 |
| pypi | tensorflow-cpu | <2.8.4 >=2.9.0, <2.9.3 >=2.10.0, <2.10.1 |
2.8.4 2.9.3 2.10.1 |
| pypi | tensorflow-gpu | <2.8.4 >=2.9.0, <2.9.3 >=2.10.0, <2.10.1 |
2.8.4 2.9.3 2.10.1 |
| bitnami | tensorflow | <2.8.4 >=2.9.0, <2.9.3 >=2.10.0, <2.10.1 |
2.8.4 2.9.3 2.10.1 |
Affected products
- tensorflow tensorflow
Classification
- Weakness
-
- CWE-125 Out-of-bounds Read
References
-
github.com
/tensorflow/tensorflow/commit/717ca98d8c3bba348ff62281fdf38dcb5ea1ec92
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-gq2j-cr96-gvqx
web, exploit, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc
web, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2022-41895
advisory, web
-
github.com
/tensorflow/tensorflow
package
-
pypi.org
/project/tensorflow-gpu
package
-
github.com
/advisories/GHSA-gq2j-cr96-gvqx
advisory
-
pypi.org
/project/tensorflow
package
-
pypi.org
/project/tensorflow-cpu
package
Sources
- CVE List CVE-2022-41895
- GitHub Advisory GHSA-gq2j-cr96-gvqx
- NVD CVE-2022-41895
- OSV BIT-tensorflow-2022-41895
- OSV PYSEC-2026-1000
- OSV PYSEC-2026-3192
- OSV PYSEC-2026-3332
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.