Molgenis Default Login Scanner

Molgenis is a versatile data management software often utilized in research institutions, bioinformatics, and life science sectors for data integration and analysis. It facilitates the organization and sharing of complex data sets, enabling collaboration and data-driven decision-making. Typically administered by IT departments in labs or academic settings, Molgenis supports researchers by automating data processes. Its user-friendly interface and adaptable data models appeal to a broad range of projects. Regular updates and community support enhance its usability and functionality. Molgenis is instrumental in biomarker discovery, systems biology, and translational research.

The detection scanner identifies instances of Molgenis installations using default credentials (admin/admin), which poses a significant security risk. Default credentials can easily be exploited by attackers to gain unauthorized access. This vulnerability is classified under Security Misconfiguration, as it involves unchanged factory settings. Timely detection is crucial to prevent potential breaches. The scanner helps administrators secure their installations by identifying these weak spots. Addressing default credentials is a fundamental step in securing software deployments.

Technical detection is executed by attempting to log into the Molgenis application with admin/admin as credentials. The scanner sends an HTTP POST request to the login endpoint and monitors the response for indicators of a successful login or redirection to an error page. Detection markers include a missing error message and the presence of a session identifier in the headers. Successful login attempts indicate unchanged credentials. Monitoring such patterns helps in pinpointing security blind spots. This technical insight facilitates targeted security enhancements and reinforces platform integrity.

Exploiting this vulnerability allows unauthorized users to access sensitive data and potentially manipulate it, leading to data breaches or theft of intellectual property. Malicious actors with admin access may deploy further attacks, install malware, or corrupt data. Such security lapses can damage the institution's reputation and incur legal liabilities. Organizations face substantial financial repercussions due to data loss or regulatory fines. Mitigating such risks requires a proactive approach to credential management. Improved security enhances trust in digital infrastructure.

REFERENCES

• https://molgenis.org/
• https://github.com/molgenis/molgenis-emx2