CVE-2022-35974
- Source
- https://nvd.nist.gov/vuln/detail/CVE-2022-35974
- Import Source
- https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2022-35974.json
- JSON Data
- https://api.osv.dev/v1/vulns/CVE-2022-35974
- Aliases
- Related
- Published
- 2022-09-16T21:15:09Z
- Modified
- 2024-05-30T03:48:09.739053Z
- 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. If
QuantizeDownAndShrinkRangeis given nonscalar inputs forinput_minorinput_max, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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