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CVE-2022-23594

Description

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

Risk Information

Base Score
5.5
MODERATE
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS Score
Exploitation Probability
0.018

Associated Vulnerability

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