CVE-2021-34165
📋 TL;DR
This SQL injection vulnerability in Basic Shopping Cart 1.0 allows remote attackers to bypass authentication and gain administrative privileges by manipulating SQL queries. Any organization using this specific e-commerce software without proper input validation is affected.
💻 Affected Systems
- Sourcecodester Basic Shopping Cart
📦 What is this software?
Basic Shopping Cart by Basic Shopping Cart Project
⚠️ Risk & Real-World Impact
Worst Case
Complete compromise of the shopping cart system, allowing attackers to steal customer data, modify orders, manipulate pricing, and potentially pivot to other systems.
Likely Case
Unauthorized administrative access leading to data theft, order manipulation, and defacement of the shopping site.
If Mitigated
Limited impact with proper input validation and parameterized queries preventing SQL injection.
🎯 Exploit Status
Exploit code is publicly available and requires minimal technical skill to execute.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: Not available
Restart Required: No
Instructions:
1. Remove Basic Shopping Cart 1.0 from production
2. Migrate to a supported, secure e-commerce platform
3. If continuing use is necessary, implement parameterized queries and input validation
🔧 Temporary Workarounds
Implement Input Validation
allAdd server-side validation to sanitize all user inputs before processing SQL queries
Manual code modification required - no single command
Web Application Firewall Rules
allDeploy WAF rules to block SQL injection patterns in login requests
WAF-specific configuration required
🧯 If You Can't Patch
- Isolate the vulnerable system behind a reverse proxy with strict input filtering
- Implement network segmentation to limit access to the vulnerable system
🔍 How to Verify
Check if Vulnerable:
Check if Basic Shopping Cart 1.0 is installed by examining the software version in admin panel or source code
Check Version:
Check PHP files for version information or examine admin panel footer
Verify Fix Applied:
Test authentication bypass attempts using SQL injection payloads; successful login indicates vulnerability
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts followed by successful admin login from same IP
- Login attempts containing SQL keywords like UNION, SELECT, OR
Network Indicators:
- HTTP POST requests to login endpoints containing SQL injection payloads
- Unusual traffic patterns to admin functions
SIEM Query:
source="web_logs" AND (uri="/login.php" OR uri="/admin/login.php") AND (message="SQL" OR message="syntax" OR message="union" OR message="select")