Software vulnerabilities related to application optimization in Intel Optimization for TensorFlow framework, caused by incorrect elimination of special elements in the output data, allow attackers to exploit these vulnerabilities to gain enhanced privileges.

The vulnerability of software for application optimization in Intel Optimization for TensorFlow framework is related to incorrect elimination of certain elements in the output data. Exploiting this vulnerability can allow attackers to enhance their privileges...

CVE-2023-30767

Improper buffer restrictions in IntelR Optimization for TensorFlow before version 2.13.0 may allow an authenticated user to potentially enable escalation of privilege via local access...

CVE-2023-30767

Improper buffer restrictions in IntelR Optimization for TensorFlow before version 2.13.0 may allow an authenticated user to potentially enable escalation of privilege via local access...

PT-2024-1791 · Intel · Intel Optimization For Tensorflow

Name of the Vulnerable Software and Affected Versions: IntelR Optimization for TensorFlow versions prior to 2.13.0 Description: The issue is related to improper buffer restrictions, which may allow an authenticated user to potentially enable escalation of privilege via local access. It is also...

CVE-2023-27506

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

Intel Optimization for Tensorflow software buffer error vulnerability

Intel Optimization for Tensorflow is a set of tools and libraries optimized for the TensorFlow framework from Intel Corporation USA. A security vulnerability exists in Intel Optimization for Tensorflow versions prior to 2.12, which stems from incorrect buffer limits. An attacker can exploit the...