CVE-2023-49688
📋 TL;DR
Job Portal v1.0 contains unauthenticated SQL injection vulnerabilities in the login.php file, specifically in the 'txtUser' parameter. Attackers can execute arbitrary SQL commands without authentication, potentially compromising the entire database. All deployments of Job Portal v1.0 are affected.
💻 Affected Systems
- Job Portal
📦 What is this software?
Job Portal by Kashipara
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, and potential remote code execution via database functions.
Likely Case
Database information disclosure, credential theft, and potential privilege escalation to administrative access.
If Mitigated
Limited impact with proper input validation and database permissions, though SQL injection attempts would still be logged.
🎯 Exploit Status
SQL injection in login.php is trivial to exploit with standard SQLi techniques. Public advisories provide technical details.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None found
Restart Required: No
Instructions:
No official patch available. Consider migrating to supported software or implementing custom fixes.
🔧 Temporary Workarounds
Input Validation Filter
allAdd parameterized queries and input validation to login.php
Modify login.php to use prepared statements: $stmt = $conn->prepare('SELECT * FROM users WHERE username = ?'); $stmt->bind_param('s', $txtUser);
Web Application Firewall
allDeploy WAF with SQL injection rules to block exploitation attempts
🧯 If You Can't Patch
- Isolate the Job Portal system from internet access and restrict to internal network only
- Implement strict network segmentation and monitor all database access attempts
🔍 How to Verify
Check if Vulnerable:
Test login.php with SQL injection payloads like: txtUser=admin' OR '1'='1Check Version:
Check software version in admin panel or readme filesVerify Fix Applied:
Verify that SQL injection payloads no longer work and return proper error handling📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in login attempts
- Multiple failed login attempts with SQL characters
- Database error messages in application logs
Network Indicators:
- HTTP POST requests to login.php containing SQL keywords
- Unusual database connection patterns from web server
SIEM Query:
source=web_logs url="*login.php*" AND (request="*OR*1*1*" OR request="*UNION*SELECT*" OR request="*'--*" OR request="*;--*")