CVE-2024-57328

9.8 CRITICAL

📋 TL;DR

This SQL injection vulnerability in Online Food Ordering System v1.0 allows attackers to bypass authentication by injecting malicious SQL queries through the login form. Attackers can gain unauthorized access to the system and potentially access sensitive data. Any organization using this specific software version is affected.

💻 Affected Systems

Products:
  • Online Food Ordering System
Versions: v1.0
Operating Systems: All
Default Config Vulnerable: ⚠️ Yes
Notes: Only affects the specific v1.0 release of this software. Custom installations may have different configurations.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete system compromise allowing attackers to access all data, modify orders, steal customer information, and potentially pivot to other systems.

🟠

Likely Case

Unauthorized access to the ordering system allowing manipulation of orders, viewing of customer data, and potential privilege escalation.

🟢

If Mitigated

Failed login attempts logged, no unauthorized access achieved due to proper input validation and parameterized queries.

🌐 Internet-Facing: HIGH
🏢 Internal Only: MEDIUM

🎯 Exploit Status

Public PoC: ⚠️ Yes
Weaponized: LIKELY
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

SQL injection in login forms is a well-known attack vector with many existing tools and techniques available.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Unknown

Vendor Advisory: Not available

Restart Required: No

Instructions:

1. Check vendor website for updated version
2. If patch available, download and install
3. Test authentication functionality after update

🔧 Temporary Workarounds

Input Validation Filter

all

Add server-side input validation to reject SQL special characters in username and password fields

# Example PHP validation
if (preg_match('/[\'"\;\-\-]/', $username) || preg_match('/[\'"\;\-\-]/', $password)) {
    die('Invalid input characters detected');
}

Web Application Firewall Rule

all

Add WAF rule to block SQL injection patterns in login requests

# Example ModSecurity rule
SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt'"

🧯 If You Can't Patch

  • Implement network segmentation to isolate the vulnerable system from sensitive data
  • Enable detailed logging and monitoring of all login attempts and database queries

🔍 How to Verify

Check if Vulnerable:

Test login form with SQL injection payload: username: admin' OR '1'='1, password: anything

Check Version:

Check software documentation or admin panel for version information

Verify Fix Applied:

Attempt SQL injection payloads and verify they are rejected or properly escaped

📡 Detection & Monitoring

Log Indicators:

  • Multiple failed login attempts with SQL special characters
  • Unusual database query patterns from web application
  • Successful logins from unexpected IP addresses

Network Indicators:

  • HTTP POST requests to login endpoint containing SQL keywords
  • Abnormal traffic patterns to database server

SIEM Query:

source="web_logs" AND (url="/login.php" OR url="/login") AND (message="' OR" OR message="--" OR message=";")

🔗 References

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