High severity · published Feb 4, 2022
CVE-2022-23560
Tensorflow is an Open Source Machine Learning Framework
8.8
CVSS
0.8%
EPSS
No
On KEV
Description
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack vector
Network
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
High
Integrity
High
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.8% · higher than 58% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
through 2.5.2; 2.6.0 through 2.6.2; 2.7.0 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-23560
CVE.org
https://www.cve.org/CVERecord?id=CVE-2022-23560
Exploit
https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc#L252-L293
Patch
https://github.com/tensorflow/tensorflow/commit/6364463d6f5b6254cac3d6aedf999b6a96225038
Patch
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4hvf-hxvg-f67v
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