S4E

Geoserver Default Login Scanner

This scanner detects the use of Geoserver in digital assets, identifying default login configurations that may lead to unauthorized access. Detecting such configurations is crucial for maintaining the security and integrity of geospatial data systems.

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

1 minute

Time Interval

17 days

Scan only one

Domain, IPv4

Toolbox

-

Geoserver is an open-source server used to share, process, and edit geospatial data. It is frequently used by government agencies, research institutions, and businesses to distribute spatial data across the web. The software is designed for interoperability, having the ability to publish data from any major spatial data source using open standards. As such, Geoserver acts as an intermediary between spatial data sources and users on the web, facilitating a comprehensive and integrated management of spatial data assets.

The vulnerability detected by this scanner is related to the use of default login credentials in Geoserver installations. Default credentials are typically provided by software developers to securely set up the product during installation. However, if these credentials are not changed post-installation, they may present a security risk by allowing unauthorized users to gain access to sensitive geospatial data and server settings. Therefore, detecting default login credentials is essential to prevent potential exploitation.

The scanner works by attempting to authenticate using the default admin credentials ('admin'/'geoserver') against the Geoserver management interface. Successful authentication would indicate that the server is still using default login credentials, making it susceptible to unauthorized access. The end point being tested is `/geoserver/j_spring_security_check` with initial login redirection and subsequent verification of access to the administrative web interface endpoint `/geoserver/web`. A response status code of 302 followed by the absence of error indicators, and presence of admin identifiers in the response body, confirms the vulnerability.

If exploited, this vulnerability can lead to significant security breaches within an organization's geospatial data systems. Attackers may gain unauthorized access to sensitive geospatial datasets, modify server configurations, or potentially leverage access to execute further attacks on internal systems. This can lead to the breach of confidential data, disruption of services, and reduced trust in the data and services provided by the organization.

REFERENCES

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