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High severity · published Nov 18, 2022
CVE-2022-41901
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. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
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 42% 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 before 2.10.1 · source: NVD
Affected product
TE
Tensorflow
Google
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-41901
CVE.org
https://www.cve.org/CVERecord?id=CVE-2022-41901
Third Party Advisory
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h
Patch
https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693
Exploit
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f
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