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CVE-2025-56132 Scanner

CVE-2025-56132 Scanner - User Enumeration vulnerability in LiquidFiles

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

15 days 1 hour

Scan only one

Domain, Subdomain, IPv4

Toolbox

LiquidFiles is widely used in enterprise environments for secure large file transfers, ensuring smooth collaboration and data sharing between teams and clients. It offers a robust set of features to manage file distribution securely, integrating with various platforms and protocols to facilitate seamless workflows. Often deployed in corporations, academia, and any organization requiring high-security data exchange, LiquidFiles serves as a critical tool in their operational toolkit. By leveraging encryption and other security protocols, it aims to safeguard sensitive information during transit over the network. Its wide-ranging compatibility allows for adaptation in different infrastructures, offering both on-premises and cloud-based solutions. Despite its strengths, vulnerabilities can exist, prompting the need for diligent security assessments to protect organizational data.

User Enumeration is a vulnerability where attackers can determine valid usernames or email addresses through system response to user input. It often arises from web applications that provide different responses for valid and invalid usernames during login or password reset processes. This kind of vulnerability can lead to increased risk of targeted username and password attacks, allowing malicious actors to attempt credential stuffing, phishing, or brute force attacks. By exploiting slight differences in response times or system messages, attackers can efficiently compile a list of valid accounts. The risk associated with user enumeration is particularly significant in high-security environments where account integrity is paramount. Detection focuses on identifying these discrepancies to mitigate potential exploitation avenues.

The vulnerability within LiquidFiles before version 4.2 arises from the password reset functionality, where distinguishable responses for valid and invalid emails enable attackers to enumerate active user accounts. The reset endpoint responds differently based on the authenticity of the email provided, with specific server responses inadvertently confirming or denying user validity. This vulnerability permits ill-intentioned actors to collect lists of authentic user emails, aiding more focused and damaging cyber attacks. The core technical issue lies in how session-related cookies and status codes are handled differently, revealing sensitive user information. The detection process focuses on isolating these variations, presenting a roadmap for potential exploitation.

The exploitation of this vulnerability can lead to unauthorized access to user accounts, as attackers accurately target accounts with valid credentials for subsequent attacks. The compromise of user accounts may result in unauthorized data access, exposure of sensitive information, and further network infiltration. Organizations may face operational disruptions, data breaches, and reputational damage due to such vulnerabilities being exploited. Moreover, this can facilitate more advanced persistent threats (APTs), where attackers establish a long-term presence within a network. Protection against these consequences requires timely vulnerability identification and remediation.

REFERENCES

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