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CVE Vulnerability Database
Vulnerability Database/CVE-2025-7611

CVE-2025-7611: Anisha Wedding Reservation SQL Injection

CVE-2025-7611 is a critical SQL injection vulnerability in Anisha Wedding Reservation 1.0 affecting the /global.php file. Attackers can exploit the lu parameter remotely. This post covers technical details, impact, and mitigation.

Published: March 25, 2026

CVE-2025-7611 Overview

A critical SQL injection vulnerability has been identified in code-projects Wedding Reservation version 1.0. The vulnerability exists in the /global.php file, where improper handling of the lu parameter allows attackers to inject malicious SQL queries. This flaw 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 extract sensitive data, modify database contents, or potentially gain unauthorized access to the underlying system through the /global.php endpoint.

Affected Products

  • Anisha Wedding Reservation 1.0
  • code-projects Wedding Reservation 1.0

Discovery Timeline

  • 2025-07-14 - CVE-2025-7611 published to NVD
  • 2025-07-15 - Last updated in NVD database

Technical Details for CVE-2025-7611

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) stems from improper neutralization of special elements used in SQL commands within the /global.php file. The application fails to properly sanitize user-supplied input through the lu parameter before incorporating it into SQL queries. This classic injection flaw (also categorized under CWE-74 for general injection) allows attackers to manipulate database queries, potentially leading to unauthorized data access, modification, or deletion. The vulnerability is remotely exploitable without requiring authentication, making it particularly dangerous for publicly accessible deployments.

Root Cause

The root cause of this vulnerability is insufficient input validation and lack of parameterized queries in the /global.php file. The lu parameter value is directly concatenated into SQL statements without proper sanitization or escaping, allowing special SQL characters and commands to be interpreted by the database engine. This represents a fundamental secure coding failure where user input is trusted implicitly.

Attack Vector

The attack vector for CVE-2025-7611 is network-based, requiring no authentication or user interaction. An attacker can craft malicious HTTP requests targeting the /global.php endpoint with specially crafted values for the lu parameter. The injected SQL code is then executed by the database server with the privileges of the application's database user.

The vulnerability can be exploited by manipulating the lu parameter in requests to /global.php. Attackers can append SQL syntax such as single quotes, UNION statements, or boolean-based payloads to extract database information, bypass authentication logic, or modify data. The exploit has been publicly disclosed, increasing the risk of widespread exploitation. For technical details, see the GitHub CVE Issue Discussion.

Detection Methods for CVE-2025-7611

Indicators of Compromise

  • Unusual or malformed HTTP requests to /global.php containing SQL syntax characters such as single quotes, double dashes, UNION keywords, or semicolons in the lu parameter
  • Database error messages in application logs indicating SQL syntax errors
  • Unexpected database queries or data access patterns in database audit logs
  • Evidence of data exfiltration or unauthorized database modifications

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the lu parameter
  • Monitor application logs for requests to /global.php containing suspicious payloads
  • Deploy database activity monitoring to detect anomalous query patterns or unauthorized data access
  • Use intrusion detection systems (IDS) with signatures for SQL injection attack patterns

Monitoring Recommendations

  • Enable verbose logging for the web application and database to capture all queries involving user input
  • Set up alerts for failed SQL queries that may indicate exploitation attempts
  • Monitor network traffic for unusual outbound data transfers that could indicate successful data exfiltration
  • Review access logs regularly for repeated requests to /global.php from single IP addresses

How to Mitigate CVE-2025-7611

Immediate Actions Required

  • Remove or restrict public access to the Wedding Reservation application until patched
  • Implement input validation and sanitization for the lu parameter in /global.php
  • Deploy Web Application Firewall rules to block SQL injection attempts
  • Review database logs for evidence of exploitation and assess potential data compromise
  • Consider upgrading or replacing the affected application with a more secure alternative

Patch Information

No official patch information is currently available from the vendor. Organizations using this software should monitor the Code Projects Resource for updates. Additional vulnerability details and community discussion can be found in the GitHub CVE Issue Discussion and VulDB ID #316311.

Workarounds

  • Implement prepared statements or parameterized queries in the /global.php file to prevent SQL injection
  • Add input validation to reject requests containing SQL special characters in the lu parameter
  • Restrict network access to the application using firewall rules or VPN requirements
  • Deploy a reverse proxy with WAF capabilities to filter malicious requests before they reach the application
bash
# Example: Apache mod_security rule to block SQL injection in lu parameter
SecRule ARGS:lu "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in lu parameter',\
    tag:'attack-sqli'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechAnisha Wedding Reservation

  • 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

  • CWE-89
  • Technical References
  • Code Projects Resource

  • GitHub CVE Issue Discussion

  • VulDB CTI ID #316311

  • VulDB ID #316311

  • VulDB Submission #615362
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