CVE-2024-57098
📋 TL;DR
Moss v0.1.3 contains an SQL injection vulnerability in the order parameter that allows attackers to execute arbitrary SQL commands. This affects all systems running the vulnerable version of Moss. Attackers could potentially access, modify, or delete database content.
💻 Affected Systems
- Moss
📦 What is this software?
Moss by Deep Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, and potential remote code execution if database functions allow it.
Likely Case
Unauthorized data access and potential data manipulation through SQL injection.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
SQL injection in order parameter suggests straightforward exploitation with common SQLi techniques.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: unknown
Vendor Advisory: https://github.com/deep-project/moss/issues/13
Restart Required: Yes
Instructions:
1. Monitor the GitHub issue for patch release. 2. Update to patched version when available. 3. Restart Moss service after update.
🔧 Temporary Workarounds
Input Validation Filter
allAdd strict input validation for order parameter to only allow expected values.
Implement parameter validation in source code to restrict order parameter to safe values only.
WAF Rule
allDeploy web application firewall rules to block SQL injection attempts.
Configure WAF to detect and block SQL injection patterns in order parameter.
🧯 If You Can't Patch
- Implement strict input validation and parameterized queries in application code.
- Deploy network segmentation to limit database access and use database firewall rules.
🔍 How to Verify
Check if Vulnerable:
Check if running Moss v0.1.3 by examining version information in application or configuration files.Check Version:
Check application logs, configuration files, or run 'moss --version' if available.Verify Fix Applied:
Test order parameter with SQL injection payloads after implementing fixes to ensure they are blocked.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts or parameter manipulation attempts in application logs
Network Indicators:
- SQL keywords in HTTP parameters
- Unusual database connection patterns
SIEM Query:
search 'order' AND ('UNION' OR 'SELECT' OR 'INSERT' OR 'DELETE' OR 'UPDATE' OR 'OR' OR 'AND') in web logs