CVE-2019-25578: Phptransformer SQL Injection Vulnerability

CVE-2019-25578 Overview

CVE-2019-25578 is a SQL Injection vulnerability affecting phpTransformer version 2016.9. This vulnerability allows remote attackers to execute arbitrary SQL queries by injecting malicious code through the idnews parameter in the GeneratePDF.php endpoint. Attackers can send crafted GET requests with SQL payloads to extract sensitive database information or manipulate database queries, potentially compromising the entire underlying database system.

Critical Impact

Unauthenticated remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially gain further access to the underlying system through database exploitation techniques.

Affected Products

• Codnloc phpTransformer version 2016.9

Discovery Timeline

• 2026-03-21 - CVE CVE-2019-25578 published to NVD
• 2026-03-26 - Last updated in NVD database

Technical Details for CVE-2019-25578

Vulnerability Analysis

This SQL Injection vulnerability exists in the GeneratePDF.php file of phpTransformer 2016.9. The application fails to properly sanitize user-supplied input in the idnews parameter before incorporating it into SQL queries. This classic injection flaw allows attackers to manipulate the query structure by appending malicious SQL statements.

The vulnerability is network-accessible and requires no authentication or user interaction to exploit. An attacker can directly send HTTP GET requests to the vulnerable endpoint with crafted payloads. The impact includes high confidentiality breach potential as database contents can be extracted, and low integrity impact as data manipulation is possible. This vulnerability is classified under CWE-89: Improper Neutralization of Special Elements used in an SQL Command.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the GeneratePDF.php script. The idnews parameter is directly concatenated into SQL query strings without sanitization, escaping, or use of prepared statements. This allows attackers to break out of the intended query context and inject arbitrary SQL commands.

Attack Vector

The attack vector is network-based, requiring no authentication. An attacker sends a specially crafted HTTP GET request to GeneratePDF.php with a malicious idnews parameter value. Common exploitation techniques include:

• Union-based SQL injection to extract data from other tables
• Boolean-based blind injection to enumerate database contents character by character
• Time-based blind injection using database sleep functions
• Error-based injection to extract data through verbose error messages

A documented proof-of-concept for this vulnerability is available at Exploit-DB #46191. The VulnCheck PHPTransformer SQL Injection Advisory provides additional technical details about the exploitation mechanism.

Detection Methods for CVE-2019-25578

Indicators of Compromise

• Unusual or malformed requests to GeneratePDF.php containing SQL syntax characters such as single quotes, double dashes, or UNION keywords in the idnews parameter
• Web server access logs showing requests with encoded SQL payloads (e.g., %27, %20OR%20, %20UNION%20)
• Database logs indicating unusual query patterns, errors, or queries accessing multiple tables unexpectedly
• Unexpected database performance issues or unusual query execution times indicative of time-based SQL injection attempts

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP parameters
• Implement intrusion detection system (IDS) signatures for common SQL injection payloads targeting the idnews parameter
• Monitor web server logs for requests to GeneratePDF.php containing suspicious characters or SQL keywords
• Enable database query logging and alert on unusual query patterns or syntax errors

Monitoring Recommendations

• Configure real-time alerting for web application firewall blocks related to SQL injection attempts
• Establish baseline database query patterns and alert on anomalous activity
• Monitor for bulk data extraction attempts that may indicate successful database enumeration
• Review web server access logs regularly for exploitation attempts targeting phpTransformer endpoints

How to Mitigate CVE-2019-25578

Immediate Actions Required

• Immediately restrict access to GeneratePDF.php or the entire phpTransformer application until remediation is complete
• Implement Web Application Firewall rules to block SQL injection patterns in requests to the vulnerable endpoint
• Review database access logs for evidence of prior exploitation and assess potential data exposure
• Consider taking the application offline if it contains sensitive data and no workaround is feasible

Patch Information

No vendor patch has been confirmed as available for this vulnerability. phpTransformer 2016.9 is an older release, and users should verify the current project status at the PHP Transformer Home Page. Organizations using this software should evaluate whether continued use is appropriate given the unpatched SQL injection vulnerability.

Workarounds

• Implement strict input validation on the idnews parameter to accept only numeric values
• Deploy a Web Application Firewall with SQL injection detection rules in front of the application
• Restrict network access to the application using firewall rules, limiting exposure to trusted IP addresses only
• Modify the application code to use parameterized queries or prepared statements for all database interactions
• Apply the principle of least privilege to the database account used by phpTransformer, restricting it to only necessary operations

# Example: Block access to vulnerable endpoint using Apache .htaccess
<Files "GeneratePDF.php">
    Order deny,allow
    Deny from all
    # Allow only from trusted IP addresses if needed
    # Allow from 192.168.1.0/24
</Files>