CVE-2024-2997 Overview
A Cross-Site Scripting (XSS) vulnerability has been discovered in Bdtask Multi-Store Inventory Management System up to version 20240320. The vulnerability exists in the handling of user-supplied input through multiple form fields including Category Name, Model Name, Brand Name, and Unit Name parameters. Improper input validation allows attackers to inject malicious scripts that execute in the context of authenticated user sessions, potentially leading to session hijacking, data theft, or unauthorized actions within the inventory management system.
Critical Impact
Authenticated attackers can inject malicious scripts through multiple input fields in the inventory management system, potentially compromising other user sessions and sensitive business data. The exploit has been publicly disclosed and is actively available.
Affected Products
- Bdtask Multi-Store Inventory Management System (all versions up to 20240320)
Discovery Timeline
- 2024-03-27 - CVE-2024-2997 published to NVD
- 2025-06-12 - Last updated in NVD database
Technical Details for CVE-2024-2997
Vulnerability Analysis
This stored Cross-Site Scripting (XSS) vulnerability (CWE-79) affects the Bdtask Multi-Store Inventory Management System through improper sanitization of user-controlled input fields. The application fails to properly encode or validate data submitted through the Category Name, Model Name, Brand Name, and Unit Name parameters before storing and rendering this content in the user interface.
When malicious JavaScript code is submitted through these fields, it gets stored in the application database and subsequently rendered without proper encoding when displayed to other users. This allows an attacker with low-level privileges to execute arbitrary JavaScript in the browsers of other users who view the injected content.
The vulnerability has a changed scope, meaning successful exploitation can impact resources beyond the vulnerable component's security scope. While the direct confidentiality and integrity impacts are limited, the ability to execute scripts in other users' browsers creates significant risk for session theft and unauthorized actions.
Root Cause
The root cause of this vulnerability is insufficient input validation and output encoding in the inventory management application. The affected functionality does not implement proper HTML entity encoding or Content Security Policy controls when handling user-supplied data in inventory categorization fields. This allows specially crafted input containing JavaScript code to be stored and executed when rendered in other users' browsers.
Attack Vector
The attack is network-based and can be launched remotely. An attacker with authenticated access to the inventory management system can exploit this vulnerability by submitting malicious JavaScript payloads through any of the vulnerable input fields (Category Name, Model Name, Brand Name, or Unit Name). The injected script is then stored and executed whenever another user views the affected page, enabling:
- Session cookie theft and account takeover
- Keylogging and credential harvesting
- Defacement of the application interface
- Redirection to malicious websites
- Unauthorized data exfiltration
The exploit has been publicly disclosed and proof-of-concept details are available, increasing the likelihood of exploitation in the wild.
Detection Methods for CVE-2024-2997
Indicators of Compromise
- Unusual JavaScript patterns in database fields related to inventory categories, models, brands, or units
- HTTP requests containing encoded script tags or JavaScript event handlers in POST parameters
- Client-side errors or unexpected script execution reported by users of the inventory system
- Evidence of session cookies being transmitted to external domains
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block XSS payload patterns in HTTP request parameters
- Enable application logging for all input submitted to Category Name, Model Name, Brand Name, and Unit Name fields
- Deploy Content Security Policy (CSP) headers with violation reporting to detect inline script execution attempts
- Monitor for suspicious patterns in stored data that match common XSS attack signatures
Monitoring Recommendations
- Audit database tables storing category, model, brand, and unit information for suspicious script content
- Review access logs for unusual patterns of form submissions targeting vulnerable endpoints
- Configure security information and event management (SIEM) systems to alert on XSS-related signatures
How to Mitigate CVE-2024-2997
Immediate Actions Required
- Restrict access to the inventory management system to trusted users only
- Implement strict Content Security Policy (CSP) headers to prevent inline script execution
- Deploy a Web Application Firewall (WAF) with XSS protection rules
- Audit existing database records for previously injected malicious content and sanitize as needed
Patch Information
No official patch has been released by the vendor. According to the vulnerability disclosure, the vendor was contacted early about this issue but did not respond. Organizations using Bdtask Multi-Store Inventory Management System should consider alternative mitigations or replacement solutions until a security update is available.
For additional technical details, refer to the VulDB entry #258199 and the associated submission record.
Workarounds
- Implement server-side input validation to sanitize all user input, removing or encoding HTML special characters and script content
- Add output encoding using HTML entity encoding when rendering user-supplied data in web pages
- Deploy a reverse proxy or WAF configured to filter XSS attack patterns before they reach the application
- Restrict user permissions to minimize the number of accounts capable of creating or modifying categories, models, brands, and units
# Example WAF rule configuration for Apache ModSecurity
SecRule ARGS "@rx <script|javascript:|onerror=|onload=" \
"id:1001,\
phase:2,\
deny,\
status:403,\
msg:'Potential XSS attack blocked',\
log,\
auditlog"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


