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Authenticated Local Privilege Escalation vulnerability in Intel Optimization for Tensorflow

Moderate severity GitHub Reviewed Published Aug 11, 2023 to the GitHub Advisory Database • Updated Nov 9, 2023

Package

pip intel-tensorflow (pip)

Affected versions

< 2.12

Patched versions

2.12
pip intel-tensorflow-avx512 (pip)
< 2.12
2.12
pip tensorflow-intel (pip)
< 2.12
2.12

Description

Improper buffer restrictions in the Intel(R) Optimization for Tensorflow software before version 2.12 may allow an authenticated user to potentially enable escalation of privilege via local access.

References

Published by the National Vulnerability Database Aug 11, 2023
Published to the GitHub Advisory Database Aug 11, 2023
Reviewed Sep 1, 2023
Last updated Nov 9, 2023

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Local
Attack complexity
High
Privileges required
Low
User interaction
Required
Scope
Unchanged
Confidentiality
Low
Integrity
High
Availability
Low

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:L/I:H/A:L

EPSS score

0.043%
(11th percentile)

Weaknesses

CVE ID

CVE-2023-27506

GHSA ID

GHSA-m2f8-v8q4-3m59

Source code

No known source code

Credits

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