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CVE Vulnerability Database
Vulnerability Database/CVE-2025-7587

CVE-2025-7587: Anisha Appointment Booking SQL Injection

CVE-2025-7587 is a critical SQL injection vulnerability in Anisha Online Appointment Booking System 1.0 affecting /cover.php. Attackers can exploit uname/psw parameters remotely. This article covers technical details, impact, and mitigation.

Published: April 1, 2026

CVE-2025-7587 Overview

A SQL injection vulnerability has been identified in code-projects Online Appointment Booking System version 1.0. This vulnerability affects the /cover.php file, where improper handling of the uname and psw parameters allows attackers to inject malicious SQL statements. The vulnerability can be exploited remotely over the network without requiring authentication, potentially allowing unauthorized access to sensitive database information.

Critical Impact

Remote attackers can exploit this SQL injection flaw to bypass authentication, extract sensitive data from the database, modify or delete records, and potentially gain further access to the underlying system.

Affected Products

  • Anisha Online Appointment Booking System 1.0

Discovery Timeline

  • 2025-07-14 - CVE CVE-2025-7587 published to NVD
  • 2025-07-16 - Last updated in NVD database

Technical Details for CVE-2025-7587

Vulnerability Analysis

This SQL injection vulnerability exists in the authentication mechanism of the Online Appointment Booking System. The /cover.php file processes user-supplied input through the uname (username) and psw (password) parameters without proper sanitization or parameterized queries. This allows attackers to craft malicious input that alters the intended SQL query logic.

SQL injection vulnerabilities of this nature typically enable attackers to bypass authentication entirely, enumerate database contents, extract sensitive user credentials, and potentially execute administrative operations on the database. The vulnerability requires no prior authentication and can be exploited from any network location with access to the application.

Root Cause

The root cause of this vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The application fails to properly validate, filter, or escape user-supplied input before incorporating it into SQL queries. The uname and psw parameters are directly concatenated into database queries, allowing special SQL characters and commands to be interpreted as part of the query structure rather than as literal data values.

Attack Vector

The attack vector for CVE-2025-7587 is network-based, meaning an attacker can exploit this vulnerability remotely by sending crafted HTTP requests to the vulnerable /cover.php endpoint. No user interaction is required, and the attack does not require prior authentication to the application.

An attacker can manipulate the login form by injecting SQL syntax into the username or password fields. For example, classic SQL injection payloads such as ' OR '1'='1 or admin'-- could be used to bypass authentication checks. More sophisticated attacks could extract database schema information, enumerate users, or exfiltrate sensitive data using techniques like UNION-based or time-based blind SQL injection.

The exploit has been publicly disclosed, increasing the risk of active exploitation. Technical details and proof-of-concept information can be found in the GitHub CVE Issue #1 and VulDB #316286 advisories.

Detection Methods for CVE-2025-7587

Indicators of Compromise

  • Unusual SQL error messages in web server logs or application error logs originating from /cover.php
  • HTTP requests to /cover.php containing SQL metacharacters such as single quotes, double dashes, semicolons, or UNION keywords in the uname or psw parameters
  • Authentication bypass events where users gain access without valid credentials
  • Database query logs showing malformed or suspicious queries against the authentication tables

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP parameters targeting /cover.php
  • Implement application-level logging to capture all authentication attempts with full parameter values for forensic analysis
  • Configure database activity monitoring to alert on unusual query patterns, failed authentication attempts, or unauthorized data access
  • Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

  • Enable verbose logging on the web server to capture complete request details including POST parameters
  • Monitor database logs for queries containing unexpected syntax or escape sequences
  • Set up alerts for multiple failed login attempts followed by sudden successful authentication
  • Review access logs for requests to /cover.php from unexpected IP addresses or geographic locations

How to Mitigate CVE-2025-7587

Immediate Actions Required

  • Restrict access to the Online Appointment Booking System to trusted networks only using firewall rules or access control lists
  • Deploy a Web Application Firewall (WAF) in front of the application with SQL injection protection rules enabled
  • If feasible, temporarily disable the /cover.php functionality until a patch is applied
  • Review application logs for signs of prior exploitation attempts

Patch Information

No official vendor patch has been identified for this vulnerability at the time of publication. The affected software is distributed through Code Projects Resource. Organizations should monitor for security updates from the vendor and apply patches immediately when available.

For additional technical details and vulnerability tracking, refer to VulDB #316286 and VulDB Submission #615212.

Workarounds

  • Implement input validation to sanitize user-supplied data by rejecting or escaping SQL metacharacters in the uname and psw fields
  • Modify the application code to use prepared statements (parameterized queries) instead of string concatenation for database operations
  • Deploy network-level access controls to limit who can reach the application from the internet
  • Consider replacing the vulnerable application with a more secure alternative if vendor support is not available
bash
# Example: Block suspicious requests at the web server level (Apache)
# Add to .htaccess or httpd.conf
<IfModule mod_rewrite.c>
    RewriteEngine On
    RewriteCond %{QUERY_STRING} (\%27)|(\')|(\-\-)|(\%23)|(#) [NC,OR]
    RewriteCond %{QUERY_STRING} (union.*select) [NC,OR]
    RewriteCond %{QUERY_STRING} (select.*from) [NC]
    RewriteRule ^/cover\.php$ - [F,L]
</IfModule>

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechAnisha Online Appointment Booking System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.08%

  • 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 #1

  • VulDB CTI ID #316286

  • VulDB #316286

  • VulDB Submission #615212

  • VulDB Submission #615377
  • Related CVEs
  • CVE-2025-7753: Anisha Appointment Booking SQL Injection

  • CVE-2025-7752: Anisha Appointment Booking SQL Injection

  • CVE-2025-7751: Anisha Appointment Booking SQL Injection

  • CVE-2025-7750: Anisha Appointment Booking SQL Injection
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