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Vulnerability Database/CVE-2025-12306

CVE-2025-12306: Nero Social Networking Site SQLi Flaw

CVE-2025-12306 is a SQL injection vulnerability in Fabian Nero Social Networking Site 1.0 affecting the /acceptoffres.php file. Attackers can remotely exploit this flaw to manipulate databases and extract data.

Published:

CVE-2025-12306 Overview

A SQL injection vulnerability has been identified in code-projects Nero Social Networking Site version 1.0. The vulnerability exists in the /acceptoffres.php file, where improper handling of the ID parameter allows attackers to inject malicious SQL queries. This flaw enables remote attackers to manipulate database queries without authentication, potentially leading to unauthorized data access, data modification, or data exfiltration.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to access, modify, or delete sensitive user data stored in the application's database without requiring authentication.

Affected Products

  • Fabian Nero Social Networking Site 1.0
  • /acceptoffres.php endpoint handling the ID parameter

Discovery Timeline

  • 2025-10-27 - CVE-2025-12306 published to NVD
  • 2025-11-03 - Last updated in NVD database

Technical Details for CVE-2025-12306

Vulnerability Analysis

This vulnerability is classified under CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The flaw resides in the /acceptoffres.php file of the Nero Social Networking Site application. When user-supplied input is passed to the ID parameter, the application fails to properly sanitize or parameterize this input before incorporating it into SQL queries. This allows an attacker to inject arbitrary SQL commands that are executed by the database server.

The exploit has been publicly disclosed and is available for use, increasing the risk of exploitation in the wild. The network-based attack vector means that any instance of this application exposed to the internet is potentially vulnerable without requiring user interaction or authentication.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the /acceptoffres.php file. The application directly concatenates user-supplied input from the ID parameter into SQL statements without sanitization. This classic SQL injection pattern occurs when dynamic SQL construction fails to properly escape or validate special characters that have meaning in SQL syntax.

Attack Vector

The attack is network-based and can be executed remotely without authentication. An attacker can craft a malicious HTTP request to the /acceptoffres.php endpoint, manipulating the ID parameter to include SQL injection payloads. These payloads can be used to:

  • Extract sensitive data from the database (usernames, passwords, personal information)
  • Modify or delete database records
  • Bypass authentication mechanisms
  • Potentially escalate to command execution depending on database configuration

The vulnerability requires no special privileges or user interaction, making it accessible to any attacker who can reach the application over the network. Detailed technical information about this vulnerability can be found in the GitHub CVE Report and VulDB Entry #329978.

Detection Methods for CVE-2025-12306

Indicators of Compromise

  • Unusual or malformed HTTP requests to /acceptoffres.php containing SQL syntax in the ID parameter
  • Database error messages in application logs indicating SQL syntax errors
  • Unexpected database query patterns or unauthorized data access attempts
  • Evidence of data exfiltration or database enumeration activity

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the ID parameter
  • Monitor web server access logs for requests to /acceptoffres.php with suspicious payloads such as single quotes, UNION SELECT, or OR 1=1 patterns
  • Deploy database activity monitoring to detect anomalous queries originating from the web application
  • Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

  • Enable detailed logging for all requests to /acceptoffres.php and review regularly for anomalies
  • Implement real-time alerting for SQL error messages in application logs
  • Monitor database query logs for unauthorized UNION, SELECT, or data extraction operations
  • Track authentication events and failed login attempts that may indicate credential harvesting via SQL injection

How to Mitigate CVE-2025-12306

Immediate Actions Required

  • Restrict access to /acceptoffres.php until the vulnerability is patched
  • Implement a Web Application Firewall with SQL injection protection rules
  • Review and audit all database accounts used by the application, applying principle of least privilege
  • Consider taking the affected application offline if it handles sensitive data until a fix is applied

Patch Information

At the time of publication, no official vendor patch has been released for this vulnerability. Administrators should monitor the Code Projects website for security updates. Given the publicly disclosed nature of this exploit, upgrading or applying mitigations is critical.

For technical details and vulnerability tracking, refer to VulDB #329978 and the VulDB Submission #676790.

Workarounds

  • Implement prepared statements or parameterized queries in the /acceptoffres.php file to properly sanitize the ID parameter
  • Deploy input validation to ensure the ID parameter only accepts numeric values
  • Use a Web Application Firewall to block requests containing SQL injection patterns
  • Restrict network access to the application using firewall rules or VPN requirements
bash
# Example: Apache mod_rewrite rule to block SQL injection patterns
# Add to .htaccess or Apache configuration
RewriteEngine On
RewriteCond %{QUERY_STRING} (union|select|insert|drop|delete|update|;|'|\\x00|\\x0a|\\x0d) [NC]
RewriteRule ^acceptoffres\.php$ - [F,L]

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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