Skip to main content
CVE Vulnerability Database

CVE-2024-6109: Tailoring Management System SQLi Flaw

CVE-2024-6109 is a critical SQL injection vulnerability in Tailoring Management System 1.0 affecting addmeasurement.php. Attackers can exploit the id parameter remotely. This article covers technical details, impact, and mitigation.

Published:

CVE-2024-6109 Overview

CVE-2024-6109 is a SQL injection vulnerability in itsourcecode Tailoring Management System 1.0. The flaw resides in the addmeasurement.php file, where the id parameter is not properly sanitized before being used in a database query. Attackers can manipulate the parameter to inject arbitrary SQL statements. The vulnerability is exploitable remotely and requires only low-privileged access. Public disclosure of the exploit details has occurred, increasing the likelihood of opportunistic attacks against exposed installations. The issue is tracked under VulDB identifier VDB-268855 and is categorized under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).

Critical Impact

Remote attackers with low privileges can inject arbitrary SQL through the id parameter of addmeasurement.php, exposing database contents and integrity.

Affected Products

  • Angeljudesuarez Tailoring Management System 1.0
  • addmeasurement.php component
  • Deployments using the vulnerable id parameter handling

Discovery Timeline

  • 2024-06-18 - CVE-2024-6109 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2024-6109

Vulnerability Analysis

The vulnerability exists in the addmeasurement.php script of the Tailoring Management System. The application accepts the id request parameter and passes it directly into an SQL query without validation or parameterization. This unsafe pattern allows an attacker to append or restructure SQL syntax through crafted input values.

Successful exploitation can lead to unauthorized reading of database records, modification of stored data, and disclosure of authentication credentials stored in the database. The attack requires network access to the web application and low-privileged authentication, based on the CVSS vector.

Because the exploit has been publicly disclosed through VulDB and a related GitHub issue, adversaries have working reference material for probing exposed instances. The application is a small-vendor PHP project without a formal patch pipeline, which increases the operational risk for organizations still running it.

Root Cause

The root cause is missing input validation and lack of prepared statements in the query construction path within addmeasurement.php. User-controlled data flows directly into a dynamic SQL string, satisfying the conditions for CWE-89. Any character with SQL meaning, such as single quotes or comment markers, is treated as query syntax rather than data.

Attack Vector

An authenticated attacker sends a crafted HTTP request to the addmeasurement.php endpoint with a malicious id value. The injected payload can use classic techniques such as UNION-based extraction, boolean-based blind inference, or time-based blind delays. No user interaction is required, and the attack can be automated at scale against internet-exposed installations. See the VulDB entry for VDB-268855 and the GitHub issue discussion for technical references.

Detection Methods for CVE-2024-6109

Indicators of Compromise

  • HTTP requests to addmeasurement.php containing SQL metacharacters in the id parameter, such as single quotes, UNION SELECT, SLEEP(, or comment sequences like -- and #.
  • Web server access logs showing repeated requests to addmeasurement.php with rapidly changing id values from a single source.
  • Database error messages surfacing in HTTP responses or application logs referencing the measurement table.

Detection Strategies

  • Deploy a web application firewall signature that inspects the id parameter of addmeasurement.php for known SQL injection payload patterns.
  • Enable verbose query logging on the backing database and alert on queries containing tautologies such as OR 1=1 originating from the application account.
  • Correlate HTTP 500 responses from addmeasurement.php with abnormal query durations to surface blind injection attempts.

Monitoring Recommendations

  • Baseline normal query patterns for the tailoring application and alert on deviations in query length, structure, or table access.
  • Monitor for outbound data transfer spikes from the application server that could indicate mass record extraction.
  • Review authentication logs for reused low-privileged accounts sending sustained request volumes to measurement endpoints.

How to Mitigate CVE-2024-6109

Immediate Actions Required

  • Restrict access to the Tailoring Management System to trusted internal networks or via VPN until a fix is applied.
  • Place a web application firewall in front of the application with rules blocking SQL injection payloads targeting addmeasurement.php.
  • Rotate database credentials used by the application and audit the database for unauthorized modifications.

Patch Information

No official vendor patch is listed in the NVD or VulDB references for CVE-2024-6109. Organizations running itsourcecode Tailoring Management System 1.0 should treat the software as unmaintained and plan migration to a supported alternative. Refer to the VulDB CTI entry for ongoing tracking of remediation status.

Workarounds

  • Modify addmeasurement.php locally to use parameterized queries or prepared statements when handling the id value.
  • Add server-side input validation that enforces a strict numeric type on the id parameter before it reaches the database layer.
  • Apply the principle of least privilege to the database account used by the application, removing rights such as DROP, ALTER, and access to unrelated schemas.
bash
# Example ModSecurity rule to block SQL metacharacters in the id parameter
SecRule ARGS:id "@rx (?i)(union|select|sleep\(|or\s+1=1|--|#)" \
    "id:1006109,phase:2,deny,status:403,\
    msg:'Potential SQLi targeting addmeasurement.php (CVE-2024-6109)'"

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.