CVE-2019-25507: Ashop Shopping Cart SQLi Vulnerability

CVE-2019-25507 Overview

Ashop Shopping Cart Software contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the shop parameter. Attackers can send GET requests to index.php with malicious shop values using UNION-based SQL injection to extract sensitive database information.

Critical Impact

Unauthenticated attackers can exploit this SQL injection vulnerability to extract sensitive database contents including customer data, credentials, and potentially gain unauthorized access to the underlying system.

Affected Products

• Ashop Shopping Cart Software (all versions)

Discovery Timeline

• 2026-03-04 - CVE CVE-2019-25507 published to NVD
• 2026-03-05 - Last updated in NVD database

Technical Details for CVE-2019-25507

Vulnerability Analysis

This vulnerability is classified as CWE-89 (SQL Injection), a critical web application security flaw that occurs when user-supplied input is incorporated into SQL queries without proper sanitization or parameterization. In the case of Ashop Shopping Cart Software, the shop parameter in index.php is directly concatenated into database queries, enabling attackers to inject arbitrary SQL statements.

The network-accessible nature of this vulnerability means that any attacker with HTTP access to the affected web application can exploit it without requiring any authentication or user interaction. The exploitation can result in high confidentiality impact through unauthorized data extraction and potential data manipulation.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the Ashop Shopping Cart Software. The shop parameter value received via GET requests to index.php is directly incorporated into SQL statements without sanitization, escaping, or use of prepared statements. This allows attackers to break out of the intended query structure and inject their own SQL commands.

Attack Vector

The attack vector is network-based, requiring no authentication or privileges. Attackers craft malicious HTTP GET requests to index.php containing SQL injection payloads in the shop parameter. By utilizing UNION-based SQL injection techniques, attackers can append additional SELECT statements to extract data from arbitrary database tables.

The attack typically involves:

1. Identifying the number of columns in the original query through ORDER BY or UNION SELECT enumeration
2. Determining which columns are displayed in the application response
3. Crafting UNION SELECT statements to extract sensitive data such as usernames, passwords, customer information, and database schema details
4. Potentially escalating to more advanced techniques like stacked queries or file system access depending on database configuration

For technical exploitation details, refer to the Exploit-DB #46643 entry and the VulnCheck Advisory.

Detection Methods for CVE-2019-25507

Indicators of Compromise

• Unusual HTTP GET requests to index.php containing SQL keywords (UNION, SELECT, FROM, WHERE) in the shop parameter
• Web server logs showing encoded SQL injection payloads (%27, %20, %2D%2D) in query strings
• Database error messages appearing in application responses or logs
• Unexpected database queries or slow query logs indicating data enumeration attempts

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the shop parameter
• Deploy application-level logging to capture and alert on suspicious parameter values containing SQL syntax
• Monitor database query logs for anomalous UNION SELECT statements or error-inducing queries
• Use intrusion detection systems (IDS) with SQL injection signature rules for HTTP traffic inspection

Monitoring Recommendations

• Enable detailed access logging on web servers hosting Ashop Shopping Cart Software
• Configure real-time alerting for requests containing common SQL injection patterns
• Monitor database connection logs for unexpected query patterns or authentication attempts
• Implement rate limiting on index.php to detect automated exploitation attempts

How to Mitigate CVE-2019-25507

Immediate Actions Required

• Deploy a Web Application Firewall (WAF) with SQL injection protection rules in front of the affected application
• Implement input validation to restrict the shop parameter to expected alphanumeric values only
• Consider temporarily disabling or restricting access to the affected functionality until a patch is available
• Review database access logs for evidence of prior exploitation attempts

Patch Information

No official vendor patch information is currently available in the CVE data. Organizations should monitor the vendor's official channels for security updates and consider implementing the workarounds below until a patch is released. Additional technical details are available through the VulnCheck Advisory.

Workarounds

• Implement strict input validation on the shop parameter to allow only expected characters (alphanumeric, limited special characters as needed)
• Deploy a WAF rule to block requests containing SQL injection patterns in query parameters
• Use database connection accounts with minimal required privileges to limit impact of successful exploitation
• Consider placing the application behind additional authentication or IP-based access controls

# Example WAF rule for ModSecurity to block SQL injection in shop parameter
SecRule ARGS:shop "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in shop parameter',\
    tag:'CVE-2019-25507'"