CVE-2022-41897 json
`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow
published 3y ago modified 2mo ago also BIT-tensorflow-2022-41897 , EUVD-2022-7320 , GHSA-f2w8-jw48-fr7j , PYSEC-2026-3165 , PYSEC-2026-3313 , PYSEC-2026-984
- 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 `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. 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
Is CVE-2022-41897 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerCISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- no
- Technical impact
- partial
- Assessed
- last yr.
Exploit prediction
0.49% chance of exploitation in the next 30 days, higher than 42% of all scored CVEs (FIRST EPSS, 2026-11-09).
Exploits and checks
- github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2w8-jw48-fr7j 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/d71090c3e5ca325bdf4b02eb236cfb3ee823e927
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-f2w8-jw48-fr7j
web, exploit, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc
web, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2022-41897
advisory, web
-
github.com
/tensorflow/tensorflow
package
-
pypi.org
/project/tensorflow
package
-
github.com
/advisories/GHSA-f2w8-jw48-fr7j
advisory
-
pypi.org
/project/tensorflow-cpu
package
-
pypi.org
/project/tensorflow-gpu
package
Sources
- CVE List CVE-2022-41897
- GitHub Advisory GHSA-f2w8-jw48-fr7j
- NVD CVE-2022-41897
- OSV BIT-tensorflow-2022-41897
- OSV PYSEC-2026-3165
- OSV PYSEC-2026-3313
- OSV PYSEC-2026-984
Fencer Intel 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.