CVE-2024-24100
📋 TL;DR
Code-projects Computer Book Store 1.0 contains a SQL injection vulnerability in the PublisherID parameter that allows attackers to execute arbitrary SQL commands. This affects all installations of this specific software version. Attackers could potentially access, modify, or delete database content.
💻 Affected Systems
- Code-projects Computer Book Store
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, and potential remote code execution if database permissions allow.
Likely Case
Unauthorized data access and extraction of sensitive information from the database.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
SQL injection via PublisherID parameter is straightforward to exploit.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
No official patch available. Implement parameterized queries and input validation in the source code.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious requests.
Input Validation
allImplement strict input validation for PublisherID parameter to only accept expected values.
🧯 If You Can't Patch
- Isolate the application behind a reverse proxy with SQL injection filtering
- Implement network segmentation to limit database access from the application server
🔍 How to Verify
Check if Vulnerable:
Test PublisherID parameter with SQL injection payloads like ' OR '1'='1Check Version:
Check application version in admin panel or configuration files.Verify Fix Applied:
Verify that parameterized queries are implemented and SQL injection payloads are rejected.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts via PublisherID parameter
Network Indicators:
- SQL keywords in HTTP requests to PublisherID parameter
- Unusual database query patterns
SIEM Query:
SELECT * FROM web_logs WHERE uri LIKE '%PublisherID%' AND (request LIKE '%OR%' OR request LIKE '%UNION%' OR request LIKE '%SELECT%')