Skip to main content
CVE Vulnerability Database

CVE-2024-8171: Tailoring Management System SQLi Flaw

CVE-2024-8171 is a critical SQL injection vulnerability in Tailoring Management System 1.0 affecting staffcatedit.php. Attackers can exploit the title parameter remotely. This article covers technical details, impact, and mitigation.

Published:

CVE-2024-8171 Overview

CVE-2024-8171 is a SQL injection vulnerability in itsourcecode Tailoring Management System version 1.0. The flaw resides in staffcatedit.php, where the title parameter is passed unsanitized into a database query. Authenticated attackers can manipulate the parameter remotely to inject arbitrary SQL statements. The exploit has been publicly disclosed, increasing the risk of opportunistic abuse against exposed deployments. The vulnerability is tracked under [CWE-89] (Improper Neutralization of Special Elements used in an SQL Command).

Critical Impact

Remote attackers with low-privilege access can read, modify, or delete database contents through SQL injection in the title parameter of staffcatedit.php.

Affected Products

  • Angeljudesuarez Tailoring Management System 1.0
  • itsourcecode Tailoring Management System (PHP-based distribution)
  • Deployments using staffcatedit.php from the affected codebase

Discovery Timeline

  • 2024-08-26 - CVE-2024-8171 published to NVD
  • 2024-08-27 - Last updated in NVD database

Technical Details for CVE-2024-8171

Vulnerability Analysis

The vulnerability is a classic SQL injection in a PHP-based web application. The staffcatedit.php script processes a user-supplied title argument and concatenates it directly into a SQL statement without parameterization or input validation. An attacker can submit crafted input containing SQL metacharacters to alter the query logic. Successful exploitation allows reading sensitive records, modifying tailoring data, or escalating impact through stacked queries depending on database privileges.

The attack vector is network-based and requires low privileges, meaning an authenticated user account is sufficient. No user interaction is required. The publicly disclosed exploit increases the likelihood of automated scanning and exploitation against internet-facing instances. The current EPSS probability is 0.067%, reflecting limited observed exploitation activity to date.

Root Cause

The root cause is improper neutralization of special elements in the title request parameter. The application builds SQL queries through string concatenation rather than using prepared statements or parameter binding. PHP's mysqli or PDO parameterized APIs are not used at the affected sink in staffcatedit.php.

Attack Vector

An attacker authenticates to the application with any valid account and sends an HTTP request to staffcatedit.php with a malicious title value. Typical payloads include boolean-based, union-based, or error-based SQL injection patterns that extract data from the underlying MySQL database. Because the exploit is public, attackers can adapt existing payloads with minimal effort. Refer to the GitHub CVE Issue Discussion and VulDB #275770 for technical write-ups of the injection path.

Detection Methods for CVE-2024-8171

Indicators of Compromise

  • HTTP POST or GET requests to staffcatedit.php containing SQL metacharacters such as ', --, UNION SELECT, or OR 1=1 in the title parameter
  • Database error messages or stack traces in web server logs originating from staffcatedit.php
  • Unusual outbound database queries or large result sets returned during edit operations
  • Unexpected modifications to staff category records or related tables

Detection Strategies

  • Deploy web application firewall (WAF) rules that inspect the title parameter for SQL injection signatures
  • Enable database query logging and alert on queries originating from the tailoring application that include suspicious tautologies or UNION operators
  • Correlate authenticated session activity with anomalous query patterns in SIEM platforms

Monitoring Recommendations

  • Monitor web server access logs for repeated requests to staffcatedit.php from a single source
  • Track failed and successful login activity preceding edit operations to identify credential abuse
  • Alert on HTTP 500 responses from the application, which often indicate triggered SQL syntax errors

How to Mitigate CVE-2024-8171

Immediate Actions Required

  • Restrict network access to the Tailoring Management System using IP allowlisting or a VPN until a fix is available
  • Audit application accounts and remove unused or low-trust credentials that could be used to reach staffcatedit.php
  • Deploy WAF rules blocking SQL injection patterns targeting the title parameter
  • Review database logs for indicators of prior exploitation attempts

Patch Information

No official vendor patch has been published in the referenced advisories. Administrators should monitor the itsourcecode website and VulDB CTI #275770 for updates. In the absence of a vendor patch, organizations should apply source-level fixes by replacing concatenated SQL with parameterized queries using PDO::prepare() or mysqli_prepare() in staffcatedit.php.

Workarounds

  • Rewrite the affected query in staffcatedit.php to use prepared statements with bound parameters
  • Apply server-side input validation that rejects non-alphanumeric characters in the title field
  • Run the database account used by the application with least privilege, removing DROP, ALTER, and FILE permissions
  • Disable or remove the affected module if it is not required for business operations
bash
# Example mod_security rule blocking SQLi patterns in the title parameter
SecRule ARGS:title "@rx (?i)(union(\s)+select|or\s+1=1|--|;|/\*)" \
    "id:1008171,phase:2,deny,status:403,log,msg:'CVE-2024-8171 SQLi attempt on staffcatedit.php'"

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.