CVE-2022-41888 json
Unckecked rank size in `tf.image.generate_bounding_box_proposals` in Tensorflow
published 2022-11-18 3 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-41888 , EUVD-2022-7262 , GHSA-6x99-gv2v-q76v , PYSEC-2026-3124 , PYSEC-2026-3288 , PYSEC-2026-962
- 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. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. 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-6x99-gv2v-q76v 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-20 Improper Input Validation
References
-
github.com
/tensorflow/tensorflow/commit/cf35502463a88ca7185a99daa7031df60b3c1c98
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-6x99-gv2v-q76v
web, exploit, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc
web, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2022-41888
advisory, web
-
github.com
/tensorflow/tensorflow
package
-
pypi.org
/project/tensorflow
package
-
github.com
/advisories/GHSA-6x99-gv2v-q76v
advisory
-
pypi.org
/project/tensorflow-cpu
package
-
pypi.org
/project/tensorflow-gpu
package
Sources
- CVE List CVE-2022-41888
- GitHub Advisory GHSA-6x99-gv2v-q76v
- NVD CVE-2022-41888
- OSV BIT-tensorflow-2022-41888
- OSV PYSEC-2026-3124
- OSV PYSEC-2026-3288
- OSV PYSEC-2026-962
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.