Neo4j Panel Detection Scanner
This scanner detects the use of Neo4j Browser Panel in digital assets.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
11 days 19 hours
Scan only one
URL
Toolbox
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The Neo4j Browser is a visualization tool utilized by developers and data scientists for graph databases constructed using Neo4j. This tool is widely applied within the IT and data analysis sectors to manage, visualize, and edit graph data effectively. With its user-friendly interface, it allows for an interactive browsing experience that enhances productivity and understanding of complex datasets. Businesses, educational institutions, and research organizations incorporate Neo4j Browser to handle and interpret interconnected data efficiently. By providing robust functionalities to handle intricate data relationships, it plays a crucial role in streamlining database interaction processes. As an open-source project, it supports a diverse range of extensions and customizations to meet specific user requirements.
The vulnerability of Neo4j Browser lies in its potential exposure as a publicly accessible panel without adequate security measures. Panel detection involves identifying open or exposed administrative panels that might be accessible to unauthorized individuals. Inadequate security configurations can lead to unauthorized access to sensitive data or administrative functionalities. Detecting this exposure is crucial to safeguard data integrity and prevent any unauthorized alterations or data breaches. The detection helps organizations identify misconfigurations or absent security protocols on their web assets that could otherwise lead to significant security risks. Knowing that their Neo4j Browser panels are exposed, organizations can take appropriate security actions to mitigate potential threats.
In technical terms, panel detection involves sending HTTP requests to the identified endpoints to check if the specific Neo4j Browser page is accessible. The vulnerability manifests if the HTTP response returns a status code 200 along with matching keywords found in the page's HTML body. This indicates that the panel is publicly exposed, potentially allowing unauthorized entities to interact with it. Endpoint detection is essential to assess the current security posture and identify any visible paths that should be restricted. Each detected endpoint is meticulously examined to ensure precise reporting of vulnerabilities, enabling better understanding and prompt actions. The scanner searches for particular HTML elements to confirm the presence of a Neo4j Browser instance, aiding in meticulous tracking of exposed instances and their details.
Exploitation of this vulnerability by malicious actors could lead to unauthorized data access and potential manipulation of sensitive information stored in the Neo4j database. Open panels can be a gateway for attackers to execute unauthorized queries, extract sensitive data, and even perform potentially harmful operations within the database. This unauthorized interaction with the database can severely impact the operations and privacy of stakeholders dependent on the data integrity and accuracy. Additionally, exposed panels may aid attackers in gathering further information about the architecture or other exposed services, amplifying security threats. This poses significant threats, making it imperative for organizations to secure such exposures promptly.