CVE-2019-25347
📋 TL;DR
CVE-2019-25347 is a SQL injection vulnerability in thesystem App 1.0 that allows attackers to bypass authentication by injecting malicious SQL code into the username parameter. This affects all users running the vulnerable version of thesystem App, potentially allowing unauthorized access to user accounts.
💻 Affected Systems
- thesystem App
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete compromise of all user accounts, potential data exfiltration, and privilege escalation to administrative functions.
Likely Case
Unauthorized access to user accounts, potential credential theft, and manipulation of user data.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing successful exploitation.
🎯 Exploit Status
Simple SQL injection payloads like ' OR '1'='1 can bypass authentication without authentication.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: N/A
Vendor Advisory: N/A
Restart Required: No
Instructions:
No official patch available. Consider migrating to a secure alternative or implementing custom fixes.
🔧 Temporary Workarounds
Implement Input Validation
allAdd server-side validation to reject SQL special characters in username field.
Use Parameterized Queries
allRewrite database queries to use prepared statements with parameter binding.
🧯 If You Can't Patch
- Implement web application firewall (WAF) rules to block SQL injection patterns
- Restrict network access to the application to trusted IP ranges only
🔍 How to Verify
Check if Vulnerable:
Attempt authentication with username: ' OR '1'='1 and any password. If login succeeds, system is vulnerable.
Check Version:
Check application version in admin panel or configuration files.
Verify Fix Applied:
Repeat the same test with malicious payload. Login should fail with proper error handling.
📡 Detection & Monitoring
Log Indicators:
- Failed login attempts with SQL special characters in username field
- Successful logins from unusual IP addresses
Network Indicators:
- HTTP POST requests containing SQL keywords in username parameter
SIEM Query:
source="web_logs" AND (username="*' OR*" OR username="*' OR '1'='1*")