CVE-2025-32452 Overview
CVE-2025-32452 is an uncontrolled search path vulnerability affecting Intel AI Playground before version 2.6.1 beta. This vulnerability exists within Ring 3 (User Applications) and may allow an authenticated local attacker to achieve privilege escalation under specific conditions. The vulnerability requires a combination of local access, high attack complexity, specific attack prerequisites, and active user interaction to exploit successfully.
Critical Impact
Successful exploitation may result in high impact to confidentiality, integrity, and availability of the vulnerable system, potentially allowing attackers to elevate privileges and gain unauthorized access to sensitive resources.
Affected Products
- Intel AI Playground versions prior to 2.6.1 beta
Discovery Timeline
- 2026-02-10 - CVE CVE-2025-32452 published to NVD
- 2026-02-10 - Last updated in NVD database
Technical Details for CVE-2025-32452
Vulnerability Analysis
This vulnerability is classified as CWE-427 (Uncontrolled Search Path Element), a class of weakness where a product uses a fixed or controlled search path to find resources, but one or more locations in that path can be under the control of unintended actors. In the context of Intel AI Playground, the application fails to properly control the search path used to locate executable files or libraries during runtime operations.
The vulnerability exists within Ring 3 (User Applications), which represents the least privileged execution ring in Intel's protection ring architecture. Despite this lower privilege level, successful exploitation can still lead to significant security impact due to the potential for privilege escalation. An unprivileged software adversary who can authenticate as a user may be able to manipulate the search path to inject malicious code that executes with elevated privileges.
The exploitation scenario requires multiple conditions to be met simultaneously: the attacker must have local access to the system, possess valid user credentials, navigate a high-complexity attack path, meet specific attack requirements, and rely on active user interaction. While these requirements reduce the likelihood of casual exploitation, a determined attacker with physical or remote access to a workstation running the vulnerable software could still successfully exploit this vulnerability.
Root Cause
The root cause stems from improper handling of the search path used by Intel AI Playground to locate and load executable components or dynamic libraries. When the application searches for these resources, it may inadvertently include directories that are writable by lower-privileged users. This allows an attacker to place a malicious file in a location that will be searched before the legitimate system directories, resulting in the execution of attacker-controlled code.
Attack Vector
The attack vector is local, requiring the attacker to have authenticated access to the target system. The attacker would need to:
- Identify a writable directory that appears in the application's search path
- Place a malicious executable or library with the same name as a legitimate component in that directory
- Wait for or induce the application to search for and load the malicious component
- The malicious code then executes with the privileges of the AI Playground application or higher
The high complexity and additional attack requirements indicate that specific environmental conditions must be present for successful exploitation. For detailed technical information about this vulnerability, refer to the Intel Security Advisory SA-01415.
Detection Methods for CVE-2025-32452
Indicators of Compromise
- Unexpected DLL or executable files appearing in user-writable directories within the AI Playground installation path or system PATH directories
- Process execution events showing AI Playground loading libraries from non-standard locations
- Unusual privilege escalation events originating from AI Playground processes
Detection Strategies
- Monitor for file creation events in directories that are part of the application's search path, particularly user-writable locations
- Implement application whitelisting to detect unauthorized executables or libraries being loaded by AI Playground
- Use endpoint detection and response (EDR) solutions to identify anomalous process behavior and privilege escalation attempts
Monitoring Recommendations
- Enable verbose logging for file system activities in directories associated with Intel AI Playground
- Configure alerts for any DLL or executable loading events from unexpected paths
- Review security logs for authentication events followed by suspicious file operations in application directories
How to Mitigate CVE-2025-32452
Immediate Actions Required
- Update Intel AI Playground to version 2.6.1 beta or later immediately
- Audit user permissions on directories within the application's search path and restrict write access
- Review system PATH environment variables to ensure no user-writable directories are included before system directories
Patch Information
Intel has addressed this vulnerability in AI Playground version 2.6.1 beta. Organizations should obtain the latest version from official Intel distribution channels. For complete patch details and download information, refer to the Intel Security Advisory SA-01415.
Workarounds
- Restrict write permissions on all directories in the application's DLL search path to administrators only
- Configure Windows DLL Safe Search Mode to limit the search path to known secure directories
- Use application control solutions to prevent execution of unsigned binaries within the AI Playground installation directory
- Monitor and alert on any modifications to system PATH environment variables
# Configuration example - Restrict directory permissions on Windows
# Run in elevated PowerShell to secure the installation directory
icacls "C:\Program Files\Intel\AI Playground" /inheritance:r /grant:r "BUILTIN\Administrators:(OI)(CI)F" /grant:r "NT AUTHORITY\SYSTEM:(OI)(CI)F" /grant:r "BUILTIN\Users:(OI)(CI)RX"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


