Skip to main content
CVE Vulnerability Database

CVE-2024-0307: Dynamic Lab Management System SQLi Flaw

CVE-2024-0307 is a critical SQL injection vulnerability in Kashipara Dynamic Lab Management System up to version 1.0. Attackers can exploit the login_process.php file remotely. This article covers technical details, affected versions, security impact, and mitigation strategies.

Published:

CVE-2024-0307 Overview

CVE-2024-0307 is a SQL injection vulnerability affecting Kashipara Dynamic Lab Management System up to version 1.0. The flaw resides in the login_process.php file, where the password parameter is passed to a backend database query without proper sanitization. Attackers can manipulate this parameter to inject arbitrary SQL statements. The vulnerability is exploitable remotely over the network without authentication or user interaction. The exploit has been publicly disclosed under VulDB identifier VDB-249874, increasing the risk of opportunistic scanning and abuse against exposed installations.

Critical Impact

Unauthenticated remote attackers can inject SQL statements through the login form, potentially exposing credential data and other sensitive information stored in the application database.

Affected Products

  • Kashipara Dynamic Lab Management System 1.0 and earlier
  • Vulnerable component: login_process.php
  • Vulnerable parameter: password

Discovery Timeline

  • 2024-01-08 - CVE-2024-0307 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2024-0307

Vulnerability Analysis

The vulnerability is a classic SQL injection issue categorized under [CWE-89]. The login_process.php script accepts a password value submitted from the login form and concatenates it directly into a SQL query. Because the input is not parameterized or escaped, attackers can break out of the string context and append arbitrary SQL clauses. This turns the authentication routine into an injection sink reachable by any unauthenticated remote user. The EPSS score is 0.733% with a percentile of approximately 49.7, indicating moderate probability of exploitation activity relative to other public CVEs.

Root Cause

The root cause is improper neutralization of special elements used in a SQL command. The application constructs its authentication query using string concatenation rather than prepared statements with bound parameters. No server-side validation, allowlisting, or type coercion is applied to the password field before it reaches the database driver.

Attack Vector

An attacker sends a crafted HTTP POST request to login_process.php containing a malicious password payload. Typical payloads use boolean logic, UNION SELECT clauses, or time-based blind techniques to enumerate database contents. Because the endpoint is pre-authentication, no credentials or session are required. Successful exploitation can lead to disclosure of user records, credential hashes, and other stored data. See the GitHub Vulnerability Report for the disclosed proof of concept.

Detection Methods for CVE-2024-0307

Indicators of Compromise

  • HTTP POST requests to /login_process.php containing SQL metacharacters such as single quotes, --, #, UNION, SELECT, SLEEP, or BENCHMARK in the password parameter.
  • Web server access logs showing repeated login attempts from a single source with abnormally long or encoded password values.
  • Database error messages returned in HTTP responses referencing MySQL syntax errors originating from the login flow.

Detection Strategies

  • Deploy web application firewall (WAF) rules that inspect POST bodies to login_process.php for SQL injection signatures.
  • Enable database query logging and alert on queries against the users table containing tautologies such as OR 1=1 or unexpected UNION operators.
  • Correlate authentication failures with response time anomalies to detect time-based blind SQL injection attempts.

Monitoring Recommendations

  • Aggregate PHP application and web server logs into a centralized analytics platform for query-time inspection.
  • Alert on outbound database traffic patterns that deviate from the application's normal query fingerprint.
  • Track first-seen source IPs hitting the login endpoint and rate-limit repeated failures.

How to Mitigate CVE-2024-0307

Immediate Actions Required

  • Restrict network exposure of the Dynamic Lab Management System by placing it behind a VPN or IP allowlist until a fix is applied.
  • Enable WAF SQL injection rulesets in blocking mode for the /login_process.php endpoint.
  • Rotate database credentials and audit user tables for signs of unauthorized data access.

Patch Information

No official vendor patch is referenced in the NVD record for Kashipara Dynamic Lab Management System 1.0. Operators should monitor the vendor's distribution channels for updates and consider migrating away from the affected application if a fix is not released. Additional context is available via VulDB #249874.

Workarounds

  • Modify login_process.php to use prepared statements with bound parameters via PDO or mysqli, eliminating string concatenation in SQL queries.
  • Apply strict server-side input validation on the password field, rejecting non-printable characters and SQL metacharacters.
  • Configure the database account used by the application with least-privilege permissions, disallowing schema reads outside required tables.
bash
# Example: enable ModSecurity OWASP CRS SQLi rules for the login endpoint
SecRuleEngine On
Include /etc/modsecurity/crs/crs-setup.conf
Include /etc/modsecurity/crs/rules/REQUEST-942-APPLICATION-ATTACK-SQLI.conf

# Restrict access to login_process.php to trusted networks
<Location "/login_process.php">
    Require ip 10.0.0.0/8
    Require ip 192.168.0.0/16
</Location>

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

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.