CVE-2022-23594

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.

CVSS v3 5.5 MEDIUM
CVSS v2.0 2.1 LOW

5.5^/10

CVSS v3 : MEDIUM

Vector :

Exploitability : 1.8 / Impact : 3.6

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required LOW

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

2.1^/10

CVSS v2.0 : LOW

Vector : AV:L/AC:L/Au:N/C:N/I:N/A:P

Exploitability : 3.9 / Impact : 2.9

Access Vector LOCAL

Access Complexity LOW

Authentication NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact PARTIAL

References

Link	Resource
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2	Third Party Advisory
https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport	Third Party Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*

History

No history.

Information

Published : 2022-02-04 23:15

Updated : 2022-02-10 18:15

NVD link : CVE-2022-23594

Mitre link : CVE-2022-23594

CVE.ORG link : CVE-2022-23594

JSON object : View

Products Affected

google

tensorflow

CWE

CWE-125

Out-of-bounds Read

CWE-787

Out-of-bounds Write

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