CVE-2025-15493
📋 TL;DR
This CVE describes a SQL injection vulnerability in RainyGao DocSys document management system up to version 2.02.36. Attackers can exploit this remotely by manipulating the searchWord parameter, potentially accessing or modifying database contents. Organizations using vulnerable versions of DocSys are affected.
💻 Affected Systems
- RainyGao DocSys
📦 What is this software?
Docsys by Docsys Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, or potential remote code execution via database functions.
Likely Case
Unauthorized data access, extraction of sensitive information from the database, and potential privilege escalation.
If Mitigated
Limited impact with proper input validation, parameterized queries, and database permission restrictions in place.
🎯 Exploit Status
Exploit details are publicly available on GitHub. The vulnerability can be exploited remotely without authentication.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None available
Restart Required: No
Instructions:
No official patch available. Vendor was contacted but did not respond. Consider upgrading if newer versions exist or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation for the searchWord parameter to reject SQL special characters
Web Application Firewall Rules
allDeploy WAF rules to block SQL injection patterns targeting the searchWord parameter
🧯 If You Can't Patch
- Isolate the DocSys application behind a reverse proxy with strict input filtering
- Implement network segmentation to limit database access from the application server
🔍 How to Verify
Check if Vulnerable:
Check DocSys version in admin panel or configuration files. If version is 2.02.36 or earlier, system is vulnerable.Check Version:
Check application configuration files or admin interface for version informationVerify Fix Applied:
Test search functionality with SQL injection payloads to confirm they are properly rejected or sanitized.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in application logs
- Multiple failed search attempts with special characters
- Database error messages containing SQL syntax
Network Indicators:
- HTTP requests with SQL injection patterns in searchWord parameter
- Unusual database connection patterns from application server
SIEM Query:
source="app_logs" AND ("searchWord" AND ("UNION" OR "SELECT" OR "INSERT" OR "DELETE" OR "--" OR "'" OR ";"))🔗 References
- https://github.com/xkalami-Tta0/CVE/blob/main/DocSys/sql%E6%B3%A8%E5%85%A52.md
- https://github.com/xkalami-Tta0/CVE/blob/main/DocSys/sql%E6%B3%A8%E5%85%A52.md#vulnerability-analysis-and-reproduction%E6%BC%8F%E6%B4%9E%E5%88%86%E6%9E%90%E5%A4%8D%E7%8E%B0
- https://vuldb.com/?ctiid.340271
- https://vuldb.com/?id.340271
- https://vuldb.com/?submit.725374
- https://github.com/xkalami-Tta0/CVE/blob/main/DocSys/sql%E6%B3%A8%E5%85%A52.md
- https://github.com/xkalami-Tta0/CVE/blob/main/DocSys/sql%E6%B3%A8%E5%85%A52.md#vulnerability-analysis-and-reproduction%E6%BC%8F%E6%B4%9E%E5%88%86%E6%9E%90%E5%A4%8D%E7%8E%B0
