CVE-2025-7172: Crime Reporting System SQLi Vulnerability

CVE-2025-7172 Overview

A SQL injection vulnerability has been identified in code-projects Crime Reporting System version 1.0. This vulnerability exists in the /headlogin.php file where the email parameter is improperly handled, allowing attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive database information, data manipulation, or further system compromise.

Critical Impact

Remote attackers can exploit this SQL injection flaw to bypass authentication, extract sensitive data from the database, modify records, or potentially escalate to further system compromise through database functionality abuse.

Affected Products

• code-projects Crime Reporting System 1.0

Discovery Timeline

• 2025-07-08 - CVE-2025-7172 published to NVD
• 2025-07-09 - Last updated in NVD database

Technical Details for CVE-2025-7172

Vulnerability Analysis

This SQL injection vulnerability affects the login functionality of the Crime Reporting System, specifically within the /headlogin.php endpoint. The application fails to properly sanitize or parameterize user-supplied input in the email parameter before incorporating it into SQL queries. This classic injection flaw allows attackers to manipulate the underlying database queries by crafting malicious input strings.

The vulnerability is network-accessible, requiring no authentication or user interaction to exploit. An attacker can remotely submit specially crafted requests to the vulnerable endpoint, potentially gaining unauthorized access to the application's database. Given that this is a Crime Reporting System, the database likely contains sensitive information including user credentials, personal information, and potentially confidential crime report data.

Root Cause

The root cause is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly known as injection. The application directly concatenates user input from the email parameter into SQL queries without proper input validation, sanitization, or the use of parameterized queries/prepared statements. This allows special SQL characters and commands to be interpreted by the database engine rather than treated as data.

Attack Vector

The attack vector is network-based, allowing remote exploitation. An attacker can target the /headlogin.php endpoint by submitting a crafted HTTP request with malicious SQL syntax in the email parameter. Common attack techniques include:

The exploitation involves sending malicious payloads through the email parameter field in HTTP requests to the vulnerable endpoint. Attackers may use techniques such as boolean-based blind injection, time-based blind injection, or UNION-based injection to extract data or manipulate database operations. The public disclosure of this vulnerability increases the risk of exploitation as attack details may be available through the referenced GitHub CVE Issue #5.

Detection Methods for CVE-2025-7172

Indicators of Compromise

• Unusual or malformed requests to /headlogin.php containing SQL syntax characters such as single quotes, double dashes, semicolons, or SQL keywords in the email parameter
• Database error messages appearing in web server logs or responses indicating SQL syntax errors
• Unexpected database queries or query patterns in database audit logs, particularly those containing UNION SELECT, OR 1=1, or time-based delay functions
• Authentication bypass events where users gain access without valid credentials

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP requests targeting the /headlogin.php endpoint
• Enable and monitor database query logging for anomalous queries or error conditions
• Implement application-level logging to capture all authentication attempts and flag requests with suspicious parameter values
• Use intrusion detection systems (IDS) with signatures for SQL injection attack patterns

Monitoring Recommendations

• Monitor web server access logs for repeated requests to /headlogin.php with varying email parameter values indicating automated injection attempts
• Set up alerts for database errors or exceptions that may indicate attempted SQL injection exploitation
• Track failed and successful authentication events for anomalies that could suggest authentication bypass

How to Mitigate CVE-2025-7172

Immediate Actions Required

• Restrict access to the vulnerable /headlogin.php endpoint through network-level controls or authentication requirements until a patch is applied
• Deploy a Web Application Firewall (WAF) with SQL injection protection rules enabled
• Review web server and database logs for signs of prior exploitation attempts
• Consider temporarily disabling the affected login functionality if the system handles sensitive data

Patch Information

No official patch information is currently available from the vendor. System administrators should monitor the Code Projects website for security updates. Given the project's nature, users may need to implement manual code fixes or consider alternative solutions if patches are not forthcoming.

For additional technical details, refer to the VulDB entry #315111 and the GitHub CVE Issue #5.

Workarounds

• Implement input validation on the email parameter to restrict input to expected email format patterns using server-side validation
• Replace dynamic SQL queries with parameterized queries or prepared statements in the /headlogin.php file
• Apply the principle of least privilege to the database user account used by the application, limiting permissions to only what is necessary
• Deploy network segmentation to limit exposure of the vulnerable system to untrusted networks

# Example: Restrict access to vulnerable endpoint via Apache .htaccess
# Place in web root or headlogin.php directory
<Files "headlogin.php">
    Order Deny,Allow
    Deny from all
    Allow from 192.168.1.0/24
</Files>