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CVE Vulnerability Database
Vulnerability Database/CVE-2025-8442

CVE-2025-8442: Online Medicine Guide SQLi Vulnerability

CVE-2025-8442 is a critical SQL injection vulnerability in Anisha Online Medicine Guide 1.0 affecting the /cussignup.php file. Attackers can exploit the uname parameter remotely. This article covers technical details, impact, and mitigation.

Published: March 24, 2026

CVE-2025-8442 Overview

A SQL injection vulnerability has been identified in code-projects Online Medicine Guide version 1.0. This vulnerability affects the /cussignup.php file, where improper handling of the uname parameter allows attackers to inject malicious SQL statements. The vulnerability can be exploited remotely without authentication, potentially compromising the integrity and confidentiality of the application's database.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data, modify database contents, or potentially execute administrative operations on the underlying database server.

Affected Products

  • Anisha Online Medicine Guide 1.0
  • code-projects Online Medicine Guide 1.0

Discovery Timeline

  • August 1, 2025 - CVE-2025-8442 published to NVD
  • August 5, 2025 - Last updated in NVD database

Technical Details for CVE-2025-8442

Vulnerability Analysis

This SQL injection vulnerability exists in the customer signup functionality of the Online Medicine Guide application. The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection vulnerabilities where user-supplied input is not properly sanitized before being incorporated into commands or queries.

The attack surface is exposed through the network, requiring no prior authentication or user interaction, making it accessible to any remote attacker. The vulnerability affects the confidentiality, integrity, and availability of the system, though the impact is limited in scope to the vulnerable component itself.

Root Cause

The root cause of this vulnerability is inadequate input validation and sanitization in the /cussignup.php file. The uname parameter is directly incorporated into SQL queries without proper parameterization or escaping, allowing attackers to break out of the intended query context and inject arbitrary SQL commands.

This is a classic example of unsafe SQL query construction where user input is concatenated directly into query strings instead of using prepared statements or parameterized queries.

Attack Vector

The attack can be launched remotely over the network against the /cussignup.php endpoint. An attacker would craft malicious input containing SQL syntax and submit it through the uname parameter during the signup process. The injected SQL code would then be executed by the database server with the privileges of the application's database user.

Typical exploitation scenarios include:

  • Authentication bypass by manipulating login queries
  • Data exfiltration through UNION-based injection techniques
  • Database modification or destruction through stacked queries (if supported)
  • Potential escalation to system-level access depending on database configuration

The vulnerability has been publicly disclosed, and technical details are available through the GitHub CVE Issue Tracker and VulDB #318469.

Detection Methods for CVE-2025-8442

Indicators of Compromise

  • Unusual database query patterns or errors in application logs, particularly involving the uname parameter
  • Anomalous requests to /cussignup.php containing SQL syntax characters such as single quotes, double dashes, or UNION statements
  • Database error messages exposed in HTTP responses indicating SQL syntax errors
  • Unexpected database connections or query execution from the web application user

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests targeting /cussignup.php
  • Implement application-level logging to monitor all inputs to the uname parameter for suspicious patterns
  • Enable database query logging to identify malformed or unexpected SQL statements
  • Use intrusion detection systems (IDS) with SQL injection signature detection capabilities

Monitoring Recommendations

  • Monitor web server access logs for requests to /cussignup.php with encoded or suspicious query parameters
  • Set up alerts for database authentication failures or permission denied errors that may indicate injection attempts
  • Review database audit logs for unauthorized data access or privilege escalation attempts
  • Implement anomaly detection for unusual patterns in user registration activity

How to Mitigate CVE-2025-8442

Immediate Actions Required

  • Restrict or disable access to the /cussignup.php endpoint until a patch is applied
  • Implement input validation to reject requests containing SQL injection patterns
  • Deploy WAF rules to filter malicious input targeting the vulnerable parameter
  • Review and audit database access permissions to minimize potential damage from successful exploitation

Patch Information

At the time of publication, no official vendor patch has been released for this vulnerability. Organizations using this software should monitor the Code Projects website for security updates. Given that this is a code-projects educational/demo application, a vendor-supplied patch may not be forthcoming, and organizations should implement the workarounds below or consider alternative software solutions.

Workarounds

  • Implement prepared statements or parameterized queries in the /cussignup.php file to prevent SQL injection
  • Apply input validation and sanitization to the uname parameter, rejecting special characters that could be used in injection attacks
  • Place the application behind a WAF configured to block SQL injection attempts
  • Restrict database user privileges to limit the impact of successful exploitation
  • Consider taking the affected functionality offline if it is not business-critical
bash
# Example WAF rule for ModSecurity to block SQL injection in uname parameter
SecRule ARGS:uname "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in uname parameter - CVE-2025-8442'"

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 Medicine Guide

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.04%

  • 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 Overview

  • GitHub CVE Issue Tracker

  • VulDB CTI Report #318469

  • VulDB #318469

  • VulDB Submission #625678
  • Related CVEs
  • CVE-2025-9027: Anisha Online Medicine Guide SQLi Flaw

  • CVE-2025-8990: Online Medicine Guide SQL Injection Flaw

  • CVE-2025-8441: Online Medicine Guide SQL Injection Flaw

  • CVE-2025-8443: Online Medicine Guide SQLi Vulnerability
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