CVE-2025-27559

6.7 MEDIUM

📋 TL;DR

This vulnerability in AI Playground software allows authenticated users with local access to escalate privileges due to incorrect default permissions. It affects versions before v2.3.0 alpha, potentially enabling attackers to gain higher system privileges than intended. Organizations using vulnerable versions of this AI development software are at risk.

💻 Affected Systems

Products:
  • AI Playground software
Versions: All versions before v2.3.0 alpha
Operating Systems: All supported platforms (OS-specific details not provided in advisory)
Default Config Vulnerable: ⚠️ Yes
Notes: Default installations are vulnerable. Requires authenticated user access and local system access to exploit.

⚠️ Manual Verification Required

This CVE does not have specific version information in our database, so automatic vulnerability detection cannot determine if your system is affected.

Why? The CVE database entry doesn't specify which versions are vulnerable (no version ranges provided by the vendor/NVD).

🔒 Custom verification scripts are available for registered users. Sign up free to download automated test scripts.

Recommended Actions:
  1. Review the CVE details at NVD
  2. Check vendor security advisories for your specific version
  3. Test if the vulnerability is exploitable in your environment
  4. Consider updating to the latest version as a precaution

⚠️ Risk & Real-World Impact

🔴

Worst Case

An authenticated attacker could gain administrative/root privileges on the system, potentially compromising the entire host and accessing sensitive AI models or data.

🟠

Likely Case

A malicious insider or compromised user account could elevate privileges to install malware, access restricted files, or modify system configurations.

🟢

If Mitigated

With proper access controls and monitoring, impact would be limited to the compromised user's scope with detection of privilege escalation attempts.

🌐 Internet-Facing: LOW - Requires local access and authentication, making remote exploitation unlikely unless combined with other vulnerabilities.
🏢 Internal Only: HIGH - Authenticated users with local access can exploit this, making it a significant insider threat risk.

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: UNKNOWN
Unauthenticated Exploit: ✅ No
Complexity: MEDIUM

Requires authenticated user with local access. No public exploit code known at this time.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: v2.3.0 alpha or later

Vendor Advisory: https://intel.com/content/www/us/en/security-center/advisory/intel-sa-01352.html

Restart Required: No

Instructions:

1. Download AI Playground v2.3.0 alpha or later from official Intel sources. 2. Install the update following vendor instructions. 3. Verify the installation completed successfully.

🔧 Temporary Workarounds

Restrict local access

all

Limit physical and remote local access to systems running AI Playground to trusted users only.

Implement least privilege

all

Ensure users only have necessary permissions and monitor for privilege escalation attempts.

🧯 If You Can't Patch

  • Isolate affected systems from critical networks and sensitive data
  • Implement strict access controls and monitor all user activity on vulnerable systems

🔍 How to Verify

Check if Vulnerable:

Check AI Playground version via software interface or installation directory. Versions before v2.3.0 alpha are vulnerable.

Check Version:

Check software about/help menu or consult installation documentation for version information

Verify Fix Applied:

Confirm version is v2.3.0 alpha or later and test that authenticated users cannot escalate privileges beyond their assigned roles.

📡 Detection & Monitoring

Log Indicators:

  • Unexpected privilege escalation attempts
  • Unauthorized access to system files or directories
  • Changes to user permissions or group memberships

Network Indicators:

  • Local authentication attempts followed by unusual system access patterns

SIEM Query:

Search for events where user privilege level changes unexpectedly or where users access system resources beyond their normal scope

🔗 References

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