CVE-2022-35963 json
`CHECK` failures in `FractionalAvgPoolGrad` in TensorFlow
published 2022-09-16 4 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-35963 , EUVD-2022-6739 , GHSA-84jm-4cf3-9jfm , PYSEC-2026-3133 , PYSEC-2026-3296 , PYSEC-2026-969
- cvss
- 5.9
- 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 41%
- public exploits
- 0
- none known
Summary
TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Patch / fix
- pypi tensorflow 2.7.2, 2.8.1, 2.9.1
- pypi tensorflow-cpu 2.7.2, 2.8.1, 2.9.1
- pypi tensorflow-gpu 2.7.2, 2.8.1, 2.9.1
- bitnami tensorflow 2.7.2
- google tensorflow 2.7.2
CISA SSVC
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
- Assessed
- 18 mo ago
Exploit prediction
0.48% chance of exploitation in the next 30 days, higher than 41% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 5.9 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 5.9 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/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 | 5.9 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tensorflow | <2.7.2 >=2.8.0, <2.8.1 >=2.9.0, <2.9.1 |
2.7.2 2.8.1 2.9.1 |
| pypi | tensorflow-cpu | <2.7.2 >=2.8.0, <2.8.1 >=2.9.0, <2.9.1 |
2.7.2 2.8.1 2.9.1 |
| pypi | tensorflow-gpu | <2.7.2 >=2.8.0, <2.8.1 >=2.9.0, <2.9.1 |
2.7.2 2.8.1 2.9.1 |
| bitnami | tensorflow | >=2.7.0, <2.7.2 >=2.8.0, <=2.8.0 >=2.9.0, <=2.9.0 |
2.7.2 |
Affected products
- tensorflow tensorflow
Classification
- Weakness
-
- CWE-617 Reachable Assertion
References
-
github.com
/tensorflow/tensorflow/commit/03a659d7be9a1154fdf5eeac221e5950fec07dad
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-84jm-4cf3-9jfm
web, patch, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2022-35963
advisory, web
-
github.com
/tensorflow/tensorflow
package
-
github.com
/tensorflow/tensorflow/releases/tag/v2.10.0
web
-
pypi.org
/project/tensorflow
package
-
github.com
/advisories/GHSA-84jm-4cf3-9jfm
advisory
-
pypi.org
/project/tensorflow-cpu
package
-
pypi.org
/project/tensorflow-gpu
package
Sources
- CVE List CVE-2022-35963
- GitHub Advisory GHSA-84jm-4cf3-9jfm
- NVD CVE-2022-35963
- OSV BIT-tensorflow-2022-35963
- OSV PYSEC-2026-3133
- OSV PYSEC-2026-3296
- OSV PYSEC-2026-969
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.