High severity · published Sep 16, 2022
CVE-2022-35969
TensorFlow is an open source platform for machine learning
7.5
CVSS
0.5%
EPSS
No
On KEV
Description
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Confidentiality
None
Integrity
None
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.5% · higher than 40% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
2.7.0 before 2.7.2; 2.8.0 before 2.8.1; 2.9.0 before 2.9.1; 2.10; 2.10; 2.10; +1 more · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-35969
CVE.org
https://www.cve.org/CVERecord?id=CVE-2022-35969
Patch
https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
Patch
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
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