CVE-2022-35988
- Source
- https://nvd.nist.gov/vuln/detail/CVE-2022-35988
- Import Source
- https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2022-35988.json
- JSON Data
- https://api.osv.dev/v1/vulns/CVE-2022-35988
- Aliases
- Related
- Published
- 2022-09-16T22:15:11Z
- Modified
- 2024-05-30T03:48:21.993995Z
- Severity
-
- 7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
- Summary
- [none]
- Details
-
TensorFlow is an open source platform for machine learning. When
tf.linalg.matrix_rankreceives an empty inputa, the GPU kernel gives aCHECKfail 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. - References
Affected packages
Git / github.com/tensorflow/tensorflow
Affected ranges
- Type
- GIT
- Repo
- https://github.com/tensorflow/tensorflow
- Events
-
Introduced0 Unknown introduced commit / All previous commits are affectedFixed
Affected versions
0.*
0.12.0-rc0
0.12.0-rc1
0.12.1
0.5.0
0.6.0
v0.*
v0.10.0
v0.10.0rc0
v0.11.0
v0.11.0rc0
v0.11.0rc1
v0.11.0rc2
v0.12.0
v0.7.0
v0.7.1
v0.8.0rc0
v0.9.0
v0.9.0rc0
v1.*
v1.0.0
v1.0.0-alpha
v1.0.0-rc0
v1.0.0-rc1
v1.0.0-rc2
v1.1.0
v1.1.0-rc0
v1.1.0-rc1
v1.1.0-rc2
v1.12.0
v1.12.0-rc0
v1.12.0-rc1
v1.12.0-rc2
v1.12.1
v1.2.0
v1.2.0-rc0
v1.2.0-rc1
v1.2.0-rc2
v1.3.0-rc0
v1.3.0-rc1
v1.5.0
v1.5.0-rc0
v1.5.0-rc1
v1.6.0
v1.6.0-rc0
v1.6.0-rc1
v1.7.0
v1.7.0-rc0
v1.7.0-rc1
v1.8.0
v1.8.0-rc0
v1.8.0-rc1
v1.9.0
v1.9.0-rc0
v1.9.0-rc1
v1.9.0-rc2