Vulnerability DatabaseGHSA-2m5g-8xpw-42vp

GHSA-2m5g-8xpw-42vp
PHP vulnerability analysis and mitigation

Overview

A high-severity security vulnerability (GHSA-2m5g-8xpw-42vp) was identified in OpenCFP's third-party authentication framework, Sentry, developed by Cartalyst. The vulnerability affects versions <=2.1.6 of the cartalyst/sentry Composer package and was disclosed on May 15, 2024. This security flaw exists in how Sentry handles password reset checks, particularly affecting OpenCFP, an open-source conference talk submission system written in PHP (GitHub Advisory).

Technical details

The vulnerability stems from the password reset mechanism implementation where users without a password reset token stored in the database defaulted to having NULL in the reset_password_code column. The vulnerability has received a CVSS v3.1 score of 8.9 (High), with the following base metrics: Attack Vector: Network, Attack Complexity: High, Privileges Required: None, User Interaction: None, Scope: Changed, Confidentiality: High, Integrity: High, and Availability: Low (GitHub Advisory).

Impact

The vulnerability could allow unauthorized manipulation of any OpenCFP user's password, particularly targeting users without an unused password reset token. While successful exploitation requires correlating numeric user IDs with email addresses, the identification of likely organizers (users 1-5) could facilitate the attack process (GitHub Advisory).

Exploitability

The vulnerability can be exploited remotely through network access, though it requires high attack complexity. No privileges or user interaction are required for exploitation, making it particularly concerning from a security perspective (GitHub Advisory).

Mitigation and workarounds

As of the advisory publication, no patched versions have been released for this vulnerability. Users of cartalyst/sentry version 2.1.6 or earlier should consider implementing additional security controls or exploring alternative authentication frameworks (GitHub Advisory).

Additional resources


SourceThis report was generated using AI

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