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CVE-2021-25985 : What You Need to Know

Discover the impact of CVE-2021-25985, a FactorJS vulnerability allowing local account takeovers. Learn mitigation steps and update to version 3.0.1 for security.

A detailed overview of CVE-2021-25985, which involves an insufficient session expiration vulnerability in FactorJS leading to a local account takeover.

Understanding CVE-2021-25985

This section provides insights into the vulnerability found in FactorJS, affecting versions 1.0.4 to 1.8.30.

What is CVE-2021-25985?

The CVE-2021-25985 vulnerability in FactorJS allows an attacker to hijack a user's session post-logout which can lead to a local account takeover.

The Impact of CVE-2021-25985

The impact is high with a CVSS v3.1 base score of 7.8, affecting confidentiality, integrity, and availability of the system. No privileges are required for exploitation.

Technical Details of CVE-2021-25985

This section covers specific technical details related to the vulnerability.

Vulnerability Description

In FactorJS versions 1.0.4 to 1.8.30, user sessions are not properly invalidated post logout, enabling attackers to steal and reuse session cookies for local account takeover.

Affected Systems and Versions

FactorJS versions 1.0.4 to 1.8.30 are impacted by this vulnerability due to improper session handling mechanisms.

Exploitation Mechanism

Attackers can exploit this vulnerability by using techniques like XSS attacks to steal session cookies and perform a local account takeover.

Mitigation and Prevention

This section outlines steps to mitigate and prevent the CVE-2021-25985 vulnerability.

Immediate Steps to Take

Users should update FactorJS to version 3.0.1 to address the session expiration issue and enhance security.

Long-Term Security Practices

Implement strict session management practices, periodic security audits, and user awareness training to prevent similar exploits.

Patching and Updates

Regularly applying security patches and staying updated with the latest versions of software can help in safeguarding against known vulnerabilities.

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