CVE-2024-33485

9.8 CRITICAL

📋 TL;DR

This SQL injection vulnerability in the CASAP Automated Enrollment System allows remote attackers to execute arbitrary SQL commands via the login.php component. Attackers can potentially extract sensitive database information, bypass authentication, or compromise the entire system. Organizations using CASAP Automated Enrollment System V1.0 with PHP/MySQLi are affected.

💻 Affected Systems

Products:
  • CASAP Automated Enrollment System
Versions: V1.0
Operating Systems: Any OS running PHP/MySQLi
Default Config Vulnerable: ⚠️ Yes
Notes: Specifically affects systems using PHP with MySQLi extension. The vulnerability is in the login.php component which is typically publicly accessible.

⚠️ Manual Verification Required

This CVE does not have specific version information in our database, so automatic vulnerability detection cannot determine if your system is affected.

Why? The CVE database entry doesn't specify which versions are vulnerable (no version ranges provided by the vendor/NVD).

🔒 Custom verification scripts are available for registered users. Sign up free to download automated test scripts.

Recommended Actions:
  1. Review the CVE details at NVD
  2. Check vendor security advisories for your specific version
  3. Test if the vulnerability is exploitable in your environment
  4. Consider updating to the latest version as a precaution

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete database compromise leading to data exfiltration, authentication bypass, privilege escalation, and potential remote code execution on the underlying server.

🟠

Likely Case

Unauthorized access to sensitive enrollment data, user credentials, and personal information stored in the database.

🟢

If Mitigated

Limited impact with proper input validation and parameterized queries preventing SQL injection.

🌐 Internet-Facing: HIGH - The vulnerability is in a login component typically exposed to the internet, allowing unauthenticated remote exploitation.
🏢 Internal Only: MEDIUM - If the system is only accessible internally, risk is reduced but still significant due to potential insider threats or lateral movement.

🎯 Exploit Status

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

Exploit code is publicly available on Exploit-DB and GitHub. The vulnerability requires minimal technical skill to exploit due to its simple SQL injection nature.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Unknown

Vendor Advisory: Not available

Restart Required: No

Instructions:

1. Review the source code for login.php
2. Replace dynamic SQL queries with parameterized prepared statements
3. Implement proper input validation and sanitization
4. Test the updated code thoroughly

🔧 Temporary Workarounds

Web Application Firewall (WAF)

all

Deploy a WAF with SQL injection protection rules to block malicious payloads before they reach the application.

Input Validation Filter

all

Implement server-side input validation to reject SQL keywords and special characters in login fields.

🧯 If You Can't Patch

  • Isolate the system behind a reverse proxy with strict input filtering
  • Implement network segmentation to limit database access from the application server only

🔍 How to Verify

Check if Vulnerable:

Test login.php with SQL injection payloads like ' OR '1'='1 in username/password fields and observe if database errors or unexpected behavior occurs.

Check Version:

Check the system documentation or source code files for version information (typically in README or configuration files).

Verify Fix Applied:

Attempt the same SQL injection tests after remediation; successful login should only occur with valid credentials, and no database errors should be exposed.

📡 Detection & Monitoring

Log Indicators:

  • Unusual SQL syntax in login attempts
  • Database error messages in application logs
  • Multiple failed login attempts with SQL keywords

Network Indicators:

  • HTTP requests to login.php containing SQL keywords (UNION, SELECT, INSERT, etc.)
  • Abnormal response patterns from the login endpoint

SIEM Query:

source="web_logs" AND uri="/login.php" AND (request CONTAINS "' OR" OR request CONTAINS "UNION" OR request CONTAINS "SELECT")

🔗 References

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