CVE-2024-49276 in Clio Grow Plugin
Summary
by MITRE • 10/17/2024
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in cliogrow Clio Grow clio-grow-form allows Reflected XSS.This issue affects Clio Grow: from n/a through <= 1.0.2.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 04/06/2026
The CVE-2024-49276 vulnerability represents a critical cross-site scripting flaw in the cliogrow Clio Grow clio-grow-form application that enables attackers to inject malicious scripts into web pages viewed by users. This reflected XSS vulnerability occurs during the web page generation process when input data is not properly sanitized or escaped before being rendered in the user interface. The vulnerability specifically impacts versions of the Clio Grow application ranging from the initial release through version 1.0.2, indicating a persistent security gap that has remained unaddressed for an extended period.
The technical exploitation of this vulnerability relies on the application's failure to implement proper input validation and output encoding mechanisms. When user-supplied data is reflected back to the browser without adequate sanitization, attackers can craft malicious payloads that execute within the context of other users' sessions. This flaw falls under the CWE-79 category of Cross-Site Scripting, which is classified as a critical weakness in web application security. The vulnerability demonstrates poor input handling practices where the application does not properly neutralize potentially dangerous characters or sequences that could be interpreted as executable code by web browsers.
Operationally, this reflected XSS vulnerability poses significant risks to both end users and the organization running the application. An attacker could exploit this weakness by crafting specially formatted URLs or form submissions that contain malicious script payloads. When victims click on these links or submit forms containing the malicious input, the scripts execute in their browser context, potentially leading to session hijacking, credential theft, or redirection to malicious sites. The reflected nature of this vulnerability means that the malicious input is immediately reflected back to the user without being stored on the server, making it particularly challenging to detect and prevent through traditional security measures.
The impact extends beyond simple script execution as this vulnerability can be leveraged for more sophisticated attacks within the context of the application's functionality. Attackers could potentially exploit this flaw to steal user sessions, modify application behavior, or gain unauthorized access to sensitive data within the Clio Grow platform. The vulnerability's presence in the clio-grow-form component suggests that any form processing or user input handling within this specific module could be compromised. Security professionals should consider this vulnerability as part of the broader ATT&CK framework's web application exploitation techniques, particularly focusing on the T1059.007 sub-technique related to script injection and T1531 for manipulation of web applications.
Mitigation strategies should prioritize immediate patching of the affected application to version 1.0.3 or later where the XSS vulnerability has been addressed. Organizations should implement comprehensive input validation and output encoding mechanisms throughout the application to prevent similar issues from occurring in other components. The recommended approach involves sanitizing all user-supplied input and properly escaping output before rendering in web pages. Additionally, implementing Content Security Policy headers and using secure coding practices for web application development can significantly reduce the risk of reflected XSS attacks. Regular security assessments and code reviews should be conducted to identify and remediate similar vulnerabilities across the entire application stack, ensuring that input validation and output encoding are consistently applied throughout all user interaction points.