CVE-2025-15443 Overview
A SQL injection vulnerability has been identified in CRMEB, an e-commerce management system, affecting versions up to and including 5.6.1. The vulnerability exists in the /adminapi/product/product_export endpoint, where improper handling of the cate_id parameter allows attackers to inject malicious SQL commands. This flaw enables remote attackers with administrative privileges to manipulate database queries, potentially leading to unauthorized data access, modification, or deletion.
Critical Impact
Authenticated attackers can exploit this SQL injection vulnerability to extract sensitive data from the database, modify records, or potentially escalate their access within the affected CRMEB installation.
Affected Products
- CRMEB versions up to 5.6.1
- CRMEB e-commerce management system with exposed /adminapi/product/product_export endpoint
Discovery Timeline
- 2026-01-04 - CVE-2025-15443 published to NVD
- 2026-01-08 - Last updated in NVD database
Technical Details for CVE-2025-15443
Vulnerability Analysis
This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) affects the product export functionality in CRMEB's administrative API. The vulnerable endpoint /adminapi/product/product_export fails to properly sanitize or parameterize the cate_id argument before incorporating it into SQL queries. While the attack requires authenticated access with high privileges, it can be launched remotely over the network.
The vulnerability allows attackers to craft malicious input that escapes the intended query context, enabling arbitrary SQL command execution against the underlying database. Successful exploitation could result in unauthorized read access to sensitive data, data modification, and potential disruption of database integrity.
Root Cause
The root cause of this vulnerability is insufficient input validation and the absence of parameterized queries in the product export functionality. The cate_id parameter is directly concatenated or interpolated into SQL statements without proper sanitization, allowing SQL metacharacters to alter the query structure. This represents a classic injection flaw where user-controlled input is trusted and incorporated into database operations without adequate security controls.
Attack Vector
The attack is network-based and targets the administrative API endpoint. An attacker with valid administrative credentials can manipulate the cate_id parameter in requests to /adminapi/product/product_export to inject SQL commands. The attack flow typically involves:
- Authenticating to the CRMEB administrative interface
- Crafting a malicious request to the product export endpoint with SQL injection payloads in the cate_id parameter
- Extracting database contents through error-based, union-based, or blind SQL injection techniques
The exploit has been publicly disclosed, and proof-of-concept documentation is available. For technical details and exploitation methodology, refer to the GitHub PoC documentation.
Detection Methods for CVE-2025-15443
Indicators of Compromise
- Unusual or malformed requests to /adminapi/product/product_export containing SQL syntax characters such as single quotes, semicolons, or SQL keywords
- Database query logs showing unexpected SQL statements originating from the product export functionality
- Error messages in application logs indicating SQL syntax errors or database connection anomalies
- Abnormal data access patterns or bulk data extraction from product-related database tables
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in requests to the /adminapi/product/product_export endpoint
- Monitor HTTP request logs for suspicious cate_id parameter values containing SQL injection indicators such as UNION, SELECT, OR 1=1, or comment sequences
- Deploy database activity monitoring to identify anomalous query patterns or unauthorized data access attempts
- Configure alerting on application errors related to SQL query failures in the product export module
Monitoring Recommendations
- Enable detailed logging for all administrative API endpoints, particularly /adminapi/product/product_export
- Implement real-time alerting for requests containing known SQL injection patterns
- Review access logs for the administrative interface to identify potentially compromised accounts
- Monitor database performance metrics for unusual query execution times that may indicate exploitation attempts
How to Mitigate CVE-2025-15443
Immediate Actions Required
- Restrict access to the CRMEB administrative interface to trusted networks only using firewall rules or VPN requirements
- Review and audit administrative user accounts for unauthorized access or suspicious activity
- Implement Web Application Firewall rules to filter SQL injection attempts targeting the vulnerable endpoint
- Consider temporarily disabling the product export functionality if not business-critical until a patch is available
Patch Information
The vendor (CRMEB) was contacted about this vulnerability but did not respond. As of the last update on 2026-01-08, no official patch has been released. Organizations should monitor the official CRMEB repository and security advisories for future updates addressing this vulnerability. Additional vulnerability details are available at VulDB #339465.
Workarounds
- Implement input validation at the application or WAF level to reject requests with SQL injection patterns in the cate_id parameter
- Use network segmentation to limit exposure of the administrative API to internal networks only
- Apply the principle of least privilege to administrative accounts, limiting access to the product export feature to only those who require it
- Consider implementing a reverse proxy with SQL injection filtering capabilities in front of the CRMEB application
# Example WAF rule for blocking SQL injection in cate_id parameter
# ModSecurity rule example
SecRule ARGS:cate_id "@detectSQLi" \
"id:100001,\
phase:2,\
block,\
msg:'SQL Injection attempt detected in cate_id parameter',\
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.


