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CVE Vulnerability Database
Vulnerability Database/CVE-2024-8220

CVE-2024-8220: Tailoring Management System SQLi Flaw

CVE-2024-8220 is a critical SQL injection vulnerability in Tailoring Management System 1.0 affecting staffedit.php. Attackers can remotely exploit multiple parameters. This article covers technical details, impact, and mitigation.

Published: May 26, 2026

CVE-2024-8220 Overview

CVE-2024-8220 is a SQL injection vulnerability in itsourcecode Tailoring Management System 1.0. The flaw exists in the staffedit.php file, where the application fails to sanitize user-supplied input before passing it to the database query layer. Attackers can manipulate the id, stafftype, address, fullname, phonenumber, or salary parameters to inject arbitrary SQL statements. The vulnerability is remotely exploitable and requires low privileges to abuse. Public disclosure of the exploit details has occurred, increasing the likelihood of opportunistic attacks against exposed installations.

Critical Impact

Authenticated remote attackers can inject SQL through multiple parameters in staffedit.php, leading to unauthorized read or modification of staff records in the underlying database.

Affected Products

  • itsourcecode Tailoring Management System 1.0
  • Vendor: angeljudesuarez
  • Affected component: staffedit.php

Discovery Timeline

  • 2024-08-27 - CVE-2024-8220 published to NVD
  • 2024-08-29 - Last updated in NVD database

Technical Details for CVE-2024-8220

Vulnerability Analysis

The vulnerability is classified under [CWE-89] (Improper Neutralization of Special Elements used in an SQL Command). The staffedit.php script in the Tailoring Management System accepts multiple user-controlled parameters and concatenates them directly into SQL queries. No prepared statements, parameterized queries, or input validation routines block injected SQL syntax. An attacker who can reach the endpoint over the network and supply crafted parameter values can alter query logic. This enables data extraction, modification of staff records, and potential authentication bypass through UNION-based or boolean-based injection techniques.

Root Cause

The root cause is the direct interpolation of HTTP request parameters into SQL statements within staffedit.php. The parameters id, stafftype, address, fullname, phonenumber, and salary are passed unchecked from the request to the query string. The application does not enforce type validation on numeric fields such as id and salary, nor does it escape string fields. This pattern is common in PHP applications that use legacy mysql_query or string-built mysqli calls instead of prepared statements.

Attack Vector

Exploitation requires network access to the application and a low-privilege authenticated session capable of reaching the staff edit functionality. An attacker submits a crafted HTTP request to staffedit.php with malicious SQL payloads in any of the six vulnerable parameters. The injected payload alters the resulting query, allowing the attacker to enumerate database contents, modify staff data, or stage further attacks. Public exploit details are referenced in the GitHub CVE Issue Tracker and VulDB entry #275929.

Detection Methods for CVE-2024-8220

Indicators of Compromise

  • HTTP requests to staffedit.php containing SQL metacharacters such as ', ", --, /*, UNION, or SELECT in the id, stafftype, address, fullname, phonenumber, or salary parameters.
  • Unexpected database errors logged by the web application or MySQL error log entries referencing staffedit.php.
  • Anomalous modifications to staff records, including unauthorized role or salary changes.

Detection Strategies

  • Inspect web server access logs for POST or GET requests to staffedit.php with payloads containing encoded SQL syntax.
  • Deploy a web application firewall (WAF) rule set with SQL injection signatures applied to the Tailoring Management System endpoints.
  • Correlate database error events with corresponding application requests to identify probing activity.

Monitoring Recommendations

  • Enable verbose query logging on the backend MySQL instance to capture suspicious query structures.
  • Alert on repeated 500-class HTTP responses from staffedit.php indicating malformed query execution.
  • Track authenticated user sessions that issue an abnormal volume of edits or fetch large result sets.

How to Mitigate CVE-2024-8220

Immediate Actions Required

  • Restrict network access to the Tailoring Management System so only trusted users can reach staffedit.php.
  • Audit existing staff records for unauthorized modifications since the application was first deployed.
  • Rotate database credentials if injection activity is suspected, and review database accounts for excessive privileges.

Patch Information

No vendor patch is currently listed in the public references for CVE-2024-8220. Operators should monitor the itsourcecode project page for updated releases. In the absence of an official patch, code-level remediation requires replacing the dynamic SQL construction in staffedit.php with parameterized queries using mysqli or PDO prepared statements and validating numeric parameters such as id and salary against an integer type.

Workarounds

  • Place the application behind a WAF configured with SQL injection rule sets and block requests containing SQL metacharacters in the affected parameters.
  • Apply server-side input validation that rejects non-numeric values in id and salary and enforces character allowlists on string fields.
  • Limit database account permissions used by the application to only the tables and operations required, reducing the blast radius of successful injection.
bash
# Configuration example: ModSecurity rule to block SQLi attempts on staffedit.php
SecRule REQUEST_URI "@contains /staffedit.php" \
    "id:1008220,phase:2,deny,status:403,\
     msg:'Possible SQLi against staffedit.php (CVE-2024-8220)',\
     chain"
  SecRule ARGS:id|ARGS:stafftype|ARGS:address|ARGS:fullname|ARGS:phonenumber|ARGS:salary \
      "@detectSQLi" \
      "t:none,t:urlDecodeUni"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechAngeljudesuarez Tailing Management System

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.11%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/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-89
  • Technical References
  • GitHub CVE Issue Tracker

  • IT Source Code Resource

  • VulDB CTI #275929

  • VulDB #275929

  • VulDB Submission #398209
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