CVE-2021-23385
Python vulnerability analysis and mitigation

Overview

CVE-2021-23385 affects all versions of the Flask-Security package, a security implementation for Flask applications. The vulnerability was discovered by Noam Moshe of Claroty and disclosed on May 18, 2021. The issue allows attackers to bypass URL validation in the get_post_logout_redirect and get_post_login_redirect functions, enabling redirection to arbitrary URLs by providing multiple backslashes (e.g., \evil.com/path) (Snyk Vuln DB, Debian Security).

Technical details

The vulnerability has a CVSS v3.1 base score of 6.1 (Medium). The vulnerability is only exploitable when using an alternative WSGI server other than Werkzeug, or when the default behavior of Werkzeug is modified using 'autocorrect_location_header=False'. The issue stems from inconsistencies in URL parsing between different components of the application (Ubuntu Security, SecurityWeek).

Impact

When successfully exploited, this vulnerability allows attackers to bypass URL validation mechanisms and redirect users to arbitrary malicious websites. This can lead to potential phishing attacks or other malicious redirections that could compromise user security (Snyk Vuln DB).

Exploitability

The vulnerability requires specific conditions to be exploitable: either the use of an alternative WSGI server other than Werkzeug or modification of Werkzeug's default behavior. The attack vector is network-based but requires user interaction. A proof-of-concept exploit exists, demonstrating how URL validation can be bypassed using multiple backslashes in the URL (Snyk Blog).

Mitigation and workarounds

Since Flask-Security is no longer maintained, there is no official fix available. Organizations using Flask-Security should consider migrating to alternative security implementations. For systems that must continue using Flask-Security, ensuring the use of Werkzeug as the WSGI server with default settings can help mitigate the vulnerability (Debian LTS).

Additional resources


SourceThis report was generated using AI

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