S4E

XNAT Default Login Scanner

This scanner detects the use of XNAT in digital assets. It identifies default login credentials in XNAT systems to prevent unauthorized access.

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

1 minute

Time Interval

1 week 16 hours

Scan only one

Domain, IPv4

Toolbox

-

XNAT is a web-based imaging informatics platform that is widely used in research institutions and medical centers for managing neuroimaging and related data. It is primarily used by researchers and clinicians to store, process, and share neuroimaging data securely and efficiently. As an open-source platform, XNAT allows for extensive customization and integration with other tools and systems. It is often deployed in environments where data integrity and security are critical due to the sensitive nature of medical information. Many organizations leverage XNAT for its flexibility in handling large volumes of imaging data and its support for various data types and standards. XNAT serves as a centralized solution for imaging studies, providing researchers with the ability to collaborate and access datasets globally.

A default login vulnerability in XNAT occurs when the system is shipped with preset usernames and passwords that are not modified after installation. This vulnerability can enable attackers to gain unauthorized access to the system, potentially leading to data breaches. It is critical because attackers do not require sophisticated tools to exploit it; they only need knowledge of the default credentials. Default login vulnerabilities are dangerous as they can be leveraged to escalate privileges within a network, leading to further compromise. This specific vulnerability in XNAT involves using ‘admin:admin’ as default credentials, which, if unchanged, could lead to system exposure. Identifying and eliminating such default logins is essential to ensure system security and integrity.

The XNAT default login vulnerability is primarily associated with weak credentials present in the system login endpoint. Attackers can exploit this by sending crafted HTTP POST requests to the login URL with 'admin' as both the username and password. Upon successful execution, the server responds with a '302' status, indicating a successful login and redirection to the admin panel interface. The vulnerability lies in the unchanged default settings that come pre-configured, assuming administrative responsibilities by default when using these credentials. This issue could potentially give attackers access to sensitive information and the ability to perform configurations within the application. Proper security practices, such as changing these default administrative credentials, are crucial to mitigating this vulnerability.

If the XNAT default login vulnerability is exploited, the attacker may gain unauthorized access to the system, allowing them to view, modify, or delete sensitive imaging data. Such a breach could significantly impact data integrity, patient privacy, and the reputation of the affected institution. The unauthorized access could also result in further compromise of the network, as attackers may use this foothold to exploit additional vulnerabilities. This breach risks complying with legal and regulatory data protection requirements, leading to potential fines or sanctions. Additionally, any unauthorized access could disrupt research activities, causing delays and resulting in considerable financial losses for the organization.

REFERENCES

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