eXist-DB Security Misconfiguration Scanner
This scanner detects the use of eXist-DB Security Misconfiguration in digital assets. It helps identify vulnerabilities where the dashboard login endpoint is accessible, which is crucial in preventing unauthorized database access.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
12 days 15 hours
Scan only one
Domain, Subdomain, IPv4
Toolbox
eXist-DB is a document-oriented database management software primarily used by software developers, enterprises, and educational institutions for storing and querying XML data. It supports web application development by providing an interface to manage large datasets efficiently. The software is popular for its flexibility, scalability, and open-source nature, used across varied industries for content management systems. Users leverage eXist-DB for scholarly projects, digital library implementations, and web-based data visualization. The software's web interface helps administrators efficiently monitor and manage database activities. eXist-DB continues to evolve, incorporating advanced features for better data handling and system integration.
eXist-DB's vulnerability stems from improper security configurations, which can expose the dashboard login endpoint. Such a misconfiguration allows unauthorized access attempts, potentially revealing sensitive database operations. Attackers exploiting this can attempt to log in to the dashboard without proper authentication, accessing or manipulating data. This vulnerability highlights the need for robust security measures in database management systems. Secure authentication protocols must be used to fortify access points. The misconfiguration is a common oversight but presents significant risks when left unaddressed.
To exploit the vulnerability, attackers target the POST request endpoint `/exist/apps/dashboard/login`. They specifically look for responses indicating successful authentication attempts using default or weak credentials. The vulnerability is validated when the database interface mistakenly grants admin-level access or returns specific XML content-type responses. Recognizable patterns like `user":"admin"` or `dba":"true"` confirm the presence of the vulnerability. Exploiters may automate requests to find security lapses in the system. Improper safeguards in login protocols heighten the risk dramatically.
When malicious actors exploit this security misconfiguration, they can access or control database content, leading to potential data breaches. Confidential XML data might be exposed, edited, or deleted entirely. Alterations to the database structure can disrupt operations and result in service downtime. There is potential for malicious data injection, compromising the integrity and confidentiality of the database information. Unauthorized access can also facilitate further attacks on interconnected systems or networks. Implementing stringent security checks is critical to mitigate these risks.
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