Apache CouchDB Panel Detection Scanner

This scanner detects the use of Apache CouchDB Panel in digital assets.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

12 days 20 hours

Scan only one

URL

Toolbox

-

Apache CouchDB is a popular open-source database software that is widely used by developers and companies worldwide for its robust, scalable, and flexible data handling capabilities. It is used in various industries, including tech giants, startups, and research institutions, to store, retrieve, and manage large volumes of data efficiently. Its serverless architecture, multi-master replication, and scalability make it a favorable choice for cloud infrastructure and distributed computing environments. CouchDB supports querying, indexing, and accessing documents via web services, making it convenient for applications that need quick access to dynamic data. As a document-oriented database, it is used extensively in applications requiring high availability and offline-first features. The software is renowned for facilitating easy replication across different devices and locations, which enhances its usefulness in collaborative environments.

Panel Detection is a kind of detection that identifies the presence of administrative or user interfaces, often indicative of the use or hosting of a service or application. These panels are essential as they provide users with the necessary interface to interact with the system, including configuration, monitoring, and managing the software. The vulnerability in Apache CouchDB panel detection relates to the ability to discover the presence of these panels, which may inadvertently expose an enterprise’s implementation details. Identifying these panels is crucial as they potentially reveal paths or endpoints that could be exploited if incorrectly secured. While simply detecting a panel does not inherently represent a risk, knowing its presence can be the first step in further probing to find misconfigurations or weaknesses. This kind of detection is valuable for comprehensive security audits, allowing organizations to ensure all exposures are adequately managed.

The technical detail involved in this scanner focuses on the identification of Apache CouchDB’s administrative panel through accessible HTTP headers and status codes. The scanner looks for specific words and status codes in the HTTP response headers, such as "CouchDB/" and "Erlang OTP/", which are indicative of Apache CouchDB. By scanning endpoints like '{{BaseURL}}/_all_dbs', the tool checks for the HTTP 200 OK status, indicating that the access was successful and thus confirming the presence of the CouchDB panel. This process involves sending minimal initial requests to minimize footprint while ensuring accurate detection. The application of such scanners is critical in environments where security through obscurity is a chosen defense method. Detecting these panels helps organizations in rectifying exposed services before they can be leveraged for unauthorized access by malicious actors.

Possible effects of exploiting a publicly exposed or poorly secured administrative panel could be severe, ranging from unauthorized data access to full system compromise. Attackers finding the panel can attempt brute force attacks to gain access to the database, execute unauthorized queries, or disrupt services. If an attacker manages to authenticate themselves incorrectly due to weak security measures or default credentials, they may extract sensitive information or alter configurations detrimental to service integrity. The exposure could lead to data leaks, regulatory violations, and significant reputational and financial losses. Furthermore, attackers might use the panel as leverage to pivot deeper into a network, extending their reach and overall impact. Therefore, organizations must ensure these panels are adequately protected or access-controlled to prevent such adverse outcomes.

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