High severity · published Feb 4, 2022
CVE-2022-23593
Tensorflow is an Open Source Machine Learning Framework
7.5
CVSS
0.9%
EPSS
No
On KEV
Description
Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
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)0.9% · higher than 59% 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 2.8.0 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-23593
CVE.org
https://www.cve.org/CVERecord?id=CVE-2022-23593
Exploit
https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205
Patch
https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a
Patch
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2
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