CVE-2025-7180
📋 TL;DR
This critical SQL injection vulnerability in Staff Audit System 1.0 allows attackers to execute arbitrary SQL commands through the User parameter in /login.php. Remote attackers can potentially access, modify, or delete database content. All deployments of Staff Audit System 1.0 with the vulnerable login.php file are affected.
💻 Affected Systems
- Staff Audit System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, privilege escalation, and potential remote code execution if database functions allow it.
Likely Case
Unauthorized database access allowing extraction of sensitive user data, credentials, and audit logs.
If Mitigated
Limited impact with proper input validation and database permissions restricting damage to non-sensitive data.
🎯 Exploit Status
Public exploit available on GitHub. SQL injection via login form requires minimal technical skill.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Manually fix vulnerable code by implementing parameterized queries or input validation in /login.php.
🔧 Temporary Workarounds
Web Application Firewall
allDeploy WAF with SQL injection rules to block malicious requests
Input Validation
allAdd server-side validation to sanitize User parameter input
🧯 If You Can't Patch
- Isolate system behind firewall with strict access controls
- Implement database user with minimal permissions
🔍 How to Verify
Check if Vulnerable:
Test /login.php with SQL injection payloads like ' OR '1'='1 in User parameterCheck Version:
Check system documentation or configuration files for version informationVerify Fix Applied:
Verify parameterized queries are implemented and SQL injection attempts are rejected📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in web logs
- Multiple failed login attempts with SQL syntax
Network Indicators:
- HTTP POST requests to /login.php containing SQL keywords
SIEM Query:
source="web_logs" AND uri="/login.php" AND (message="sql" OR message="syntax" OR message="union")