CVE-2021-4195 in Customer Relation Managerinfo

Summary

by MITRE • 03/14/2023

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Firmanet Software and Technology Customer Relation Manager allows XSS Targeting HTML Attributes.

This issue affects Customer Relation Manager: before 2022.03.13.

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Analysis

by VulDB Data Team • 05/18/2026

The CVE-2021-4195 vulnerability represents a critical cross-site scripting flaw within the Firmanet Software and Technology Customer Relation Manager application, specifically targeting HTML attributes during web page generation processes. This vulnerability falls under the Common Weakness Enumeration category CWE-79, which defines improper neutralization of input during web page generation as a primary weakness leading to XSS attacks. The flaw manifests when the application fails to properly sanitize user-supplied input before incorporating it into HTML attributes, creating an exploitable condition that allows malicious actors to inject malicious scripts into web pages viewed by other users.

The technical implementation of this vulnerability occurs within the web application's input processing pipeline where user data enters the system through various interfaces such as forms, API endpoints, or direct input fields. When the Customer Relation Manager processes this data for display in HTML attributes, the application does not adequately filter or encode special characters that could be interpreted as executable script code. This insufficient input validation creates a persistent XSS vector that can be exploited across different HTML attribute contexts, including but not limited to href, onclick, or onmouseover attributes, making the attack surface particularly broad and difficult to fully mitigate through partial solutions.

The operational impact of this vulnerability extends beyond simple script execution, as it enables attackers to perform a wide range of malicious activities including session hijacking, credential theft, data exfiltration, and redirection to malicious sites. An attacker could craft malicious input that, when processed by the application, would execute scripts in the context of authenticated users' browsers, potentially leading to complete compromise of user sessions and access to sensitive customer data. The vulnerability's persistence across multiple HTML attributes makes it particularly dangerous as attackers can leverage various attribute contexts to achieve their objectives, while the fact that it affects versions prior to 2022.03.13 indicates this flaw existed for an extended period without proper remediation, increasing the potential attack surface and impact.

Mitigation strategies for this vulnerability should encompass multiple layers of defense including immediate patching of the application to version 2022.03.13 or later, which presumably contains the necessary input sanitization and output encoding mechanisms. Organizations should implement comprehensive input validation that enforces strict character filtering and employs proper HTML encoding techniques for all user-supplied data before rendering in web pages. The implementation of Content Security Policy headers can provide additional protection by restricting script execution contexts, while regular security testing including automated scanning and manual penetration testing should be conducted to identify similar vulnerabilities. According to ATT&CK framework category T1190, this vulnerability aligns with the exploitation of web application vulnerabilities, and organizations should consider implementing web application firewalls and runtime application self-protection mechanisms as part of their defense-in-depth strategy. The remediation process must also include thorough code review of input handling routines and implementation of secure coding practices that align with OWASP Top Ten recommendations for preventing XSS vulnerabilities.

Reservation

12/31/2021

Disclosure

03/14/2023

Moderation

accepted

CPE

ready

EPSS

0.00360

KEV

no

Activities

low

Sources

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