CVE-2024-34061
Python vulnerability analysis and mitigation

Overview

A reflected Cross-Site Scripting (XSS) vulnerability was discovered in changedetection.io versions prior to 0.45.22. The vulnerability exists in the notification_urls parameter where user input from a URL or POST data is reflected on the page without proper sanitization, allowing attackers to inject malicious JavaScript code (GitHub Advisory).

Technical details

The vulnerability occurs in the notification_urls parameter validation process where input is not properly sanitized before being reflected back to users. The issue stems from template helpers being named with .jinja extension which meant they were not having jinja2 autoescape enabled. This allows attackers to inject arbitrary JavaScript code that gets executed in the application context (GitHub Commit). The vulnerability has been assigned a CVSS v3.1 base score of 4.3 (Medium) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N (FortiGuard).

Impact

When exploited, this vulnerability allows attackers to execute arbitrary JavaScript code in the context of the user's browser session. While the confidentiality impact is none and there is no availability impact, there is a low integrity impact as attackers could potentially perform unauthorized actions through the injected code (GitHub Advisory).

Exploitability

The vulnerability can be exploited remotely and requires no privileges, though user interaction is required. The attack complexity is considered low, making it relatively straightforward to exploit. The proof of concept involves submitting malicious input through the Settings > ADD Notification URL List functionality (GitHub Advisory).

Mitigation and workarounds

The vulnerability has been patched in version 0.45.22. Users are advised to upgrade to this version or later. The fix involves properly enabling jinja2 autoescape for template files by ensuring they have the correct file extensions (GitHub Commit).

Additional resources


SourceThis report was generated using AI

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