CVE-2022-23583

Description

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If Tin and Tout dont match the type of data in out and input_* tensors then flat<*> would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a CHECK crash, hence a denial of service. The fix will be 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.

Risk Information

Base Score
6.5
MODERATE
Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS Score
Exploitation Probability
0.285

Associated Vulnerability

VulnerabilityOS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 2.5.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.6.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.7.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.5.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.6.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.7.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.5.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.6.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.7.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.5.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.6.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.7.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.5.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.6.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.7.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.5.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.6.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.7.1Linux

Patch Details

No records found

References

https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234