CVE-2026-4597 Overview
A SQL injection vulnerability has been discovered in 648540858 wvp-GB28181-pro up to version 2.7.4. The vulnerability affects the selectAll function in the file src/main/java/com/genersoft/iot/vmp/streamProxy/dao/provider/StreamProxyProvider.java within the Stream Proxy Query Handler component. This flaw allows attackers to manipulate database queries through improper input validation, potentially leading to unauthorized data access, modification, or deletion.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, bypass authentication mechanisms, or potentially execute administrative operations on the underlying database. The vendor was contacted but did not respond to disclosure attempts.
Affected Products
- wvp-GB28181-pro versions up to and including 2.7.4
- Stream Proxy Query Handler component
- Systems utilizing the StreamProxyProvider.java data access layer
Discovery Timeline
- 2026-03-23 - CVE-2026-4597 published to NVD
- 2026-03-24 - Last updated in NVD database
Technical Details for CVE-2026-4597
Vulnerability Analysis
This SQL injection vulnerability exists in the selectAll function within the StreamProxyProvider.java file, which is part of the Stream Proxy Query Handler component in wvp-GB28181-pro. The vulnerability falls under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly known as injection flaws.
The vulnerable code path processes user-controlled input without proper sanitization before incorporating it into SQL queries. When an attacker provides malicious SQL syntax as input parameters, the application fails to distinguish between legitimate data and executable SQL commands. This allows the injected SQL to be executed by the database engine with the same privileges as the application's database connection.
The network-accessible nature of this vulnerability means that any authenticated user with access to the stream proxy query functionality can potentially exploit this flaw remotely without requiring physical access to the target system.
Root Cause
The root cause of this vulnerability is insufficient input validation and the lack of parameterized queries in the selectAll function. Instead of using prepared statements or properly escaping user input, the application directly concatenates user-supplied values into SQL query strings. This classic SQL injection pattern allows attackers to break out of the intended query context and inject arbitrary SQL commands.
Attack Vector
The attack can be launched remotely over the network by any authenticated user with access to the stream proxy functionality. An attacker would craft malicious input containing SQL syntax and submit it through the stream proxy query interface. The vulnerable selectAll function processes this input, incorporates it into a database query, and executes it against the backend database.
Successful exploitation could allow attackers to:
- Extract sensitive information from the database
- Modify or delete database records
- Bypass application-level access controls
- Potentially escalate privileges within the application
The vulnerability mechanism involves improper neutralization of special SQL characters in user input. The selectAll function in StreamProxyProvider.java constructs database queries by directly embedding user-controlled parameters without sanitization. For technical details, refer to the Feishu Document containing the vulnerability analysis.
Detection Methods for CVE-2026-4597
Indicators of Compromise
- Unusual SQL error messages in application logs related to stream proxy queries
- Database query logs showing malformed or suspicious SQL statements with injection patterns
- Unexpected data access or modification patterns in database audit logs
- Anomalous requests to stream proxy endpoints containing SQL special characters
Detection Strategies
- Monitor application logs for SQL syntax errors or database exception messages
- Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in request parameters
- Enable database query logging and audit for queries originating from the wvp-GB28181-pro application
- Use intrusion detection systems to flag requests containing common SQL injection payloads
Monitoring Recommendations
- Enable verbose logging for the Stream Proxy Query Handler component
- Configure database audit policies to track queries from the application service account
- Set up alerts for failed login attempts or access control violations in the database
- Monitor for unusual data exfiltration patterns or bulk data access
How to Mitigate CVE-2026-4597
Immediate Actions Required
- Restrict network access to the stream proxy query functionality to trusted users only
- Implement Web Application Firewall rules to filter SQL injection attack patterns
- Review and restrict database user permissions for the wvp-GB28181-pro application
- Consider disabling the affected stream proxy functionality until a patch is available
Patch Information
No official patch is currently available from the vendor. According to the vulnerability disclosure, the vendor was contacted but did not respond. Organizations using wvp-GB28181-pro should monitor the project repository for updates and consider implementing compensating controls until an official fix is released. For additional vulnerability details, see VulDB #352435.
Workarounds
- Implement input validation at the application perimeter to sanitize SQL special characters
- Deploy a Web Application Firewall configured with SQL injection detection rules
- Restrict database user privileges to minimum required permissions (read-only where possible)
- Isolate the affected application in a network segment with limited access
# Configuration example
# WAF rule to block common SQL injection patterns (example for ModSecurity)
SecRule ARGS "@detectSQLi" \
"id:1001,\
phase:2,\
block,\
msg:'SQL Injection Attack Detected',\
logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}',\
severity:'CRITICAL'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


