CVE-2020-28133

9.8 CRITICAL

📋 TL;DR

This vulnerability allows attackers to bypass authentication in Simple Grocery Store Sales And Inventory System 1.0 via SQL injection in the login functionality. Attackers can gain client privileges without valid credentials. All installations of version 1.0 are affected.

💻 Affected Systems

Products:
  • Simple Grocery Store Sales And Inventory System
Versions: 1.0
Operating Systems: Any OS running PHP/MySQL
Default Config Vulnerable: ⚠️ Yes
Notes: All default installations are vulnerable. Requires PHP and MySQL environment.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Full system compromise allowing attackers to access, modify, or delete all sales and inventory data, potentially leading to financial loss and data breach.

🟠

Likely Case

Unauthorized access to client-level functionality, allowing viewing and manipulation of sales data, inventory levels, and customer information.

🟢

If Mitigated

Limited impact with proper network segmentation and monitoring, though authentication bypass remains possible.

🌐 Internet-Facing: HIGH - Web application with SQL injection in login page makes remote exploitation trivial.
🏢 Internal Only: MEDIUM - Internal attackers could still exploit, but external threat surface is reduced.

🎯 Exploit Status

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

Public exploit code available on Exploit-DB. SQL injection in login.php allows authentication bypass with simple payloads.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: None available

Vendor Advisory: None available

Restart Required: No

Instructions:

No official patch exists. Consider replacing with secure alternative software or implementing custom fixes.

🔧 Temporary Workarounds

Input Validation and Prepared Statements

all

Modify login.php to use parameterized queries and validate user input

Replace vulnerable SQL queries with prepared statements using mysqli or PDO

Web Application Firewall

all

Deploy WAF to block SQL injection attempts

Configure WAF rules to detect and block SQL injection patterns in login requests

🧯 If You Can't Patch

  • Isolate the system behind a firewall with strict access controls
  • Implement network segmentation to limit lateral movement if compromised

🔍 How to Verify

Check if Vulnerable:

Test login.php with SQL injection payloads like ' OR '1'='1 in username/password fields

Check Version:

Check system version in admin panel or review source code comments

Verify Fix Applied:

Attempt SQL injection after modifications - should return authentication failure instead of successful login

📡 Detection & Monitoring

Log Indicators:

  • Multiple failed login attempts with SQL patterns
  • Successful logins from unusual IPs
  • Login attempts with special characters in credentials

Network Indicators:

  • HTTP POST requests to login.php containing SQL keywords
  • Unusual authentication traffic patterns

SIEM Query:

source="web_logs" AND (uri="/sales_inventory/login.php" AND (request_body LIKE "%OR%" OR request_body LIKE "%'%" OR request_body LIKE "%--%"))

🔗 References

📤 Share & Export