CVE-2022-35979

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Source
https://nvd.nist.gov/vuln/detail/CVE-2022-35979
Import Source
https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2022-35979.json
JSON Data
https://api.osv.dev/v1/vulns/CVE-2022-35979
Aliases
Published
2022-09-16T22:15:11Z
Modified
2024-05-30T03:47:47.916866Z
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 QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for min_features or max_features, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed

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