CVE-2026-32680

Summary

A medium-severity incorrect default permissions vulnerability (CVE-2026-32680) has been identified in the RATOC RAID Monitoring Manager installer for Windows. The installer sets insecure permissions on the installation directory (CWE-276), enabling local privilege escalation.

Technical Details

The issue is classified under CWE-276 (Incorrect Default Permissions). The Windows installer allows customization of the installation directory but fails to enforce restrictive Access Control Lists (ACLs) on the installed files and directories. This results in standard (non-administrator) users having write access to service binaries.

When the RAID monitoring service runs as SYSTEM, it executes binaries from the insecure directory. A local attacker can replace these binaries with malicious versions that execute with SYSTEM privileges.

Exploitation Context

• Vector: Local
• Authentication: Low (standard user account)
• Complexity: Medium
• Impact: High (Confidentiality, Integrity, and Availability)

Windows service binary replacement is a well-established local privilege escalation technique. Attackers commonly exploit insecure service paths during post-exploitation to elevate from standard user to SYSTEM.

Remediation

Administrators should immediately:

1. Contact the vendor for an updated installer that enforces restrictive ACLs on the installation directory and service binaries.
2. Manually enforce secure permissions on the installation directory using icacls to restrict write access to administrators only.
3. Monitor for unauthorized binary modifications using file integrity monitoring (FIM) solutions.

Precogs AI Integration

The Precogs AI Code Security Platform detects incorrect default permission configurations by analyzing installer packages for insecure ACL settings on service directories and binaries, identifying CWE-276 patterns that enable local privilege escalation on Windows systems.

Vulnerability Code Signature

Attack Data Flow

Vulnerable Code Pattern

# ❌ VULNERABLE: Unsanitized Input Flow
def process_request(request):
    user_input = request.GET.get('data')
    # Taint sink: processing untrusted data
    execute_logic(user_input)
    return {"status": "success"}

Secure Code Pattern

# ✅ SECURE: Input Validation & Sanitization
def process_request(request):
    user_input = request.GET.get('data')
    
    # Sanitized boundary check
    if not is_valid_format(user_input):
        raise ValueError("Invalid input format")
        
    sanitized_data = sanitize(user_input)
    execute_logic(sanitized_data)
    return {"status": "success"}

How Precogs Detects This

Precogs AI Analysis Engine maps untrusted input directly to execution sinks to catch complex application security vulnerabilities.\n