Critical severity · published Nov 18, 2022
CVE-2022-41900
TensorFlow is an open source platform for machine learning
9.8
CVSS
0.7%
EPSS
No
On KEV
Description
TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Confidentiality
High
Integrity
High
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.7% · higher than 51% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
before 2.8.4; 2.9.0 before 2.9.3; 2.10.0 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-41900
CVE.org
https://www.cve.org/CVERecord?id=CVE-2022-41900
Patch
https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48
Exploit
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472
More from Tensorflow
9.9
CVE-2020-15196
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data
9.8
CVE-2023-25668
TensorFlow is an open source platform for machine learning
9.8
CVE-2023-25664
TensorFlow is an open source platform for machine learning
9.8
CVE-2022-35939
TensorFlow is an open source platform for machine learning
9.8
CVE-2022-23587
Tensorflow is an Open Source Machine Learning Framework