CVE-2022-35988 json
`CHECK` fail in `tf.linalg.matrix_rank` in TensorFlow
published 2022-09-16 4 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-35988 , EUVD-2022-6768 , GHSA-9vqj-64pv-w55c , PYSEC-2026-3156 , PYSEC-2026-3308 , PYSEC-2026-980
- 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 42%
- public exploits
- 0
- none known
Summary
TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. 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, 2.8.1, 2.9.1
- google tensorflow 2.7.2, 2.8.1, 2.9.1
CISA SSVC
- Exploitation
- none
- 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).
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 | <2.7.2 >=2.8.0, <2.8.1 >=2.9.0, <2.9.1 |
2.7.2 2.8.1 2.9.1 |
Affected products
- tensorflow tensorflow
Classification
- Weakness
-
- CWE-617 Reachable Assertion
References
-
github.com
/tensorflow/tensorflow/commit/c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-9vqj-64pv-w55c
web, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2022-35988
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-9vqj-64pv-w55c
advisory
-
pypi.org
/project/tensorflow-cpu
package
-
pypi.org
/project/tensorflow-gpu
package
Sources
- CVE List CVE-2022-35988
- GitHub Advisory GHSA-9vqj-64pv-w55c
- NVD CVE-2022-35988
- OSV BIT-tensorflow-2022-35988
- OSV PYSEC-2026-3156
- OSV PYSEC-2026-3308
- OSV PYSEC-2026-980
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.