Vault Panel Detection Scanner
This scanner detects the use of Vault Login Panel in digital assets. It helps identify instances where the Vault panel is exposed, allowing organizations to secure their sensitive access points.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
8 days 14 hours
Scan only one
URL
Toolbox
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Vault, developed by HashiCorp, is an identity-based security software used to store, protect, and manage access to secrets and sensitive data. Organizations utilize Vault to enforce consistent security policies across distributed infrastructure and applications. It plays a crucial role in cloud environments where secure, scalable, and centralized management of confidential information is needed. Vault helps mitigate risks by providing dynamic secrets and encryption as a service. The software is designed for a range of uses beyond simple password storage, including distributed system authentication. Its comprehensive suite of integrations with cloud providers and devops tools ensures seamless functionality across various technology stacks.
Vault Login Panel Detection focuses on identifying login panels, potentially exposed by misconfigurations or default settings. This vulnerability type does not involve direct code exploitation but rather the enumeration of exposed entry points. Having the login panel accessible publicly could represent a security blind spot, as it opens up paths for unauthorized access attempts or reconnaissance by malicious actors. Panel Detection plays an important role in identifying potential weaknesses in network boundaries. Vulnerabilities of this nature require attention as they point out areas where security policies may need tightening. Timely detection allows organizations to quickly apply access controls or network-level restrictions.
Technical detection involves querying specific endpoints like /v1/sys/health, /ui/vault/auth, /ui/auth, and checking application responses for details identifying it as a Vault Login Panel. A positive match would involve a successful HTTP status code response and the presence of identifying text or titles in the response body that confirm the Vault software's presence. The scanner effectively extracts the version of Vault to assist in further analysis and decision-making processes. The condition for detection hinges on common keywords and structural patterns known to be unique to Vault's functioning. JSON extraction is employed to simplify version identification, providing essential data points to stakeholders.
If not addressed, the exposure of Vault Login Panels could result in unauthorized access or brute force attack attempts on Vault instances. Attackers may gather information on system configuration and backend service references through improperly secured login panels. Over time, continuous exposure creates opportunities for attackers to refine their methods and try credentials against multiple panels. Organizations could face severe data breaches if the panels are left exposed and attackers navigate to sensitive functionality. Even if Vault has robust security mechanisms, consistently detecting and securing login panels forms an essential part of holistic security posture management.
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