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Vulnerability Database/CVE-2025-10802

CVE-2025-10802: Online Bidding System SQLi Vulnerability

CVE-2025-10802 is a SQL injection flaw in Fabian Online Bidding System 1.0 that allows remote attackers to manipulate database queries. This article covers technical details, affected versions, impact, and mitigation.

Published:

CVE-2025-10802 Overview

A SQL injection vulnerability has been discovered in code-projects Online Bidding System version 1.0. The flaw exists in the /administrator/remove.php file, where improper handling of the ID argument allows attackers to inject malicious SQL commands. This vulnerability can be exploited remotely without authentication, potentially enabling unauthorized database access, data manipulation, and information disclosure.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to access, modify, or delete sensitive database information in the Online Bidding System without authentication.

Affected Products

  • Fabian Online Bidding System 1.0
  • code-projects Online Bidding System 1.0

Discovery Timeline

  • 2025-09-22 - CVE-2025-10802 published to NVD
  • 2025-09-24 - Last updated in NVD database

Technical Details for CVE-2025-10802

Vulnerability Analysis

This SQL injection vulnerability stems from insufficient input validation in the administrator panel of the Online Bidding System. The /administrator/remove.php endpoint accepts an ID parameter that is directly incorporated into SQL queries without proper sanitization or parameterized query implementation. This allows attackers to craft malicious input that alters the intended SQL query logic, potentially bypassing authentication, extracting sensitive data, or modifying database contents.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection flaws where user-controlled input is not properly validated before being processed by an interpreter.

Root Cause

The root cause of this vulnerability is the failure to implement proper input sanitization and parameterized queries in the remove.php file. The ID parameter is likely concatenated directly into SQL statements, allowing special characters and SQL syntax to be interpreted as part of the query rather than as literal data. This is a common coding mistake in PHP applications that directly interpolate user input into database queries.

Attack Vector

The vulnerability is exploitable over the network without requiring any authentication or user interaction. An attacker can send crafted HTTP requests to the /administrator/remove.php endpoint with a malicious ID parameter containing SQL injection payloads. The attack can be executed remotely, making it accessible to any threat actor with network access to the vulnerable application.

Successful exploitation could allow attackers to:

  • Extract sensitive user credentials and bidding information
  • Modify or delete database records
  • Bypass authentication mechanisms
  • Potentially escalate to further system compromise depending on database configuration

Detailed technical analysis of this vulnerability is available in the GitHub CVE SQL Injection Report.

Detection Methods for CVE-2025-10802

Indicators of Compromise

  • Unusual SQL error messages in application logs originating from /administrator/remove.php
  • HTTP requests to /administrator/remove.php containing special characters such as single quotes, double dashes, or UNION keywords in the ID parameter
  • Unexpected database queries or modifications to bidding records
  • Access logs showing repeated requests to administrator endpoints with varying ID parameter values

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in requests to /administrator/remove.php
  • Monitor application logs for SQL syntax errors or unusual database error messages
  • Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
  • Analyze HTTP request logs for anomalous ID parameter values containing SQL metacharacters

Monitoring Recommendations

  • Enable detailed logging for all database queries executed by the Online Bidding System
  • Set up alerts for failed SQL queries or database errors originating from administrator endpoints
  • Monitor for unauthorized access attempts to the /administrator/ directory
  • Implement rate limiting on administrator endpoints to detect automated scanning attempts

How to Mitigate CVE-2025-10802

Immediate Actions Required

  • Restrict network access to the /administrator/ directory to trusted IP addresses only
  • Implement input validation to allow only numeric values for the ID parameter
  • Deploy a Web Application Firewall (WAF) with SQL injection protection rules
  • Consider taking the vulnerable application offline until a proper fix is implemented

Patch Information

As of the last NVD update on 2025-09-24, no official patch has been released by the vendor. Organizations using Fabian Online Bidding System 1.0 should monitor the Code Projects Resource Hub for security updates. In the absence of an official patch, implementing the workarounds below is strongly recommended.

Additional vulnerability details can be found at VulDB #325160 Vulnerability Details.

Workarounds

  • Implement server-side input validation to ensure the ID parameter contains only numeric values
  • Use prepared statements or parameterized queries to prevent SQL injection
  • Apply network-level access controls to restrict administrator panel access
  • Consider using a reverse proxy or WAF to filter malicious requests before they reach the application
bash
# Example Apache .htaccess restriction for administrator directory
<Directory "/var/www/html/administrator">
    # Restrict access to specific IP addresses
    Require ip 192.168.1.0/24
    Require ip 10.0.0.0/8
    
    # Deny all other access
    Require all denied
</Directory>

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

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