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CVE Vulnerability Database
Vulnerability Database/CVE-2025-6905

CVE-2025-6905: Anisha Car Rental System SQLi Vulnerability

CVE-2025-6905 is a critical SQL injection flaw in Anisha Car Rental System 1.0 affecting the signup.php file. Attackers can remotely exploit the fname parameter. This article covers technical details, impact, and mitigation.

Published: March 11, 2026

CVE-2025-6905 Overview

A critical SQL injection vulnerability has been identified in code-projects Car Rental System version 1.0. This issue affects the /signup.php file, where improper handling of the fname parameter allows attackers to inject malicious SQL statements. The vulnerability can be exploited remotely without authentication, enabling unauthorized database access, data manipulation, or potential system compromise.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive user data, modify database contents, or potentially gain unauthorized access to the underlying system.

Affected Products

  • Anisha Car Rental System 1.0
  • code-projects Car Rental System /signup.php endpoint

Discovery Timeline

  • 2025-06-30 - CVE-2025-6905 published to NVD
  • 2025-07-11 - Last updated in NVD database

Technical Details for CVE-2025-6905

Vulnerability Analysis

This SQL injection vulnerability exists in the Car Rental System's user registration functionality. The /signup.php file fails to properly sanitize user input in the fname (first name) parameter before incorporating it into SQL queries. This allows an attacker to craft malicious input that alters the intended SQL query structure, potentially accessing or modifying database contents without proper authorization.

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

Root Cause

The root cause of this vulnerability is inadequate input validation and sanitization in the signup form processing logic. The application directly concatenates user-supplied input from the fname parameter into SQL queries without using parameterized queries or prepared statements. This allows special SQL characters and commands to be interpreted as part of the query structure rather than as literal data values.

Attack Vector

The attack can be initiated remotely over the network without requiring any authentication or user interaction. An attacker can submit a specially crafted HTTP request to the /signup.php endpoint with malicious SQL syntax embedded in the fname parameter. The injected SQL code is then executed by the database server with the privileges of the application's database connection.

The vulnerability has been publicly disclosed, and exploitation details are available through the GitHub CVE Issue #15 and VulDB #314399. Attackers could exploit this flaw to:

  • Extract sensitive user credentials and personal information
  • Bypass authentication mechanisms
  • Modify or delete database records
  • Potentially execute administrative operations on the database

Detection Methods for CVE-2025-6905

Indicators of Compromise

  • Unusual or malformed entries in the fname field containing SQL syntax such as single quotes, semicolons, or SQL keywords (UNION, SELECT, DROP, INSERT)
  • Database error messages in application logs indicating SQL syntax errors
  • Unexpected database queries or access patterns in database audit logs
  • Signs of data exfiltration or unauthorized database modifications

Detection Strategies

  • Deploy Web Application Firewalls (WAF) with SQL injection detection rules targeting the /signup.php endpoint
  • Implement application-level logging to capture and analyze all input to the fname parameter
  • Monitor database query logs for anomalous patterns or unauthorized SELECT/INSERT/UPDATE/DELETE operations
  • Use intrusion detection systems (IDS) configured with signatures for common SQL injection attack patterns

Monitoring Recommendations

  • Enable verbose logging on the web application to capture all form submissions to /signup.php
  • Configure database auditing to log all queries and identify unusual query patterns
  • Set up real-time alerting for database errors that may indicate injection attempts
  • Review access logs for repeated requests to the signup endpoint that may indicate automated exploitation attempts

How to Mitigate CVE-2025-6905

Immediate Actions Required

  • Disable or restrict access to the /signup.php endpoint until a patch is applied
  • Implement input validation rules to reject suspicious characters in the fname parameter
  • Deploy WAF rules to block SQL injection attempts targeting the signup functionality
  • Review database logs for evidence of prior exploitation and assess potential data compromise
  • Consider taking the affected application offline if sensitive data is at risk

Patch Information

No official vendor patch has been announced for this vulnerability at the time of publication. Organizations using Anisha Car Rental System 1.0 should monitor the Code Projects Resource for security updates. Given the nature of this vulnerability, manual code remediation may be required to implement proper input sanitization.

For detailed vulnerability information, refer to the VulDB CTI ID #314399 and the VulDB Submission ID #606156.

Workarounds

  • Implement prepared statements and parameterized queries in the signup form processing code to prevent SQL injection
  • Apply strict input validation that whitelists only alphanumeric characters for the fname parameter
  • Use stored procedures for database operations to reduce direct SQL query construction
  • Deploy a reverse proxy or WAF configured to sanitize incoming requests to the /signup.php endpoint
  • Implement rate limiting on the signup endpoint to slow down automated exploitation attempts

The recommended fix involves modifying the PHP code to use prepared statements. Instead of concatenating user input directly into SQL queries, use parameterized queries with PDO or MySQLi prepared statements, ensuring the fname value is bound as a parameter rather than interpolated into the query string.

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechAnisha Car Rental System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.05%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74
  • Technical References
  • Code Projects Resource

  • GitHub CVE Issue #15

  • VulDB CTI ID #314399

  • VulDB #314399

  • VulDB Submission ID #606156
  • Related CVEs
  • CVE-2025-6904: Anisha Car Rental System SQLi Vulnerability

  • CVE-2025-6903: Anisha Car Rental System SQLi Vulnerability

  • CVE-2025-6579: Anisha Car Rental System SQLi Vulnerability
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