Eagle For Apache Kafka Panel Detection Scanner
This scanner detects the use of Eagle For Apache Kafka in digital assets. It helps in identifying exposed login panels, ensuring valuable insights into potential security misconfigurations.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
19 days 2 hours
Scan only one
URL
Toolbox
-
Eagle For Apache Kafka is a visualization and management software commonly used in industries that rely on Kafka messaging systems for event streaming. It is particularly popular in sectors like finance, telecommunications, and e-commerce for its ability to query, visualize, and manage Kafka metrics in real-time. Organizations utilize EFAK to monitor Kafka environments effectively, ensuring smooth and efficient data processing workflows. Its user-friendly interface aids operators in troubleshooting potential issues quickly, reducing the potential for downtime. Companies value it for integrating alerting mechanisms to ensure that system administrators are notified of irregularities. Overall, EFAK enhances the operational efficiency and reliability of data streaming processes.
The vulnerability detected in this scanner pertains to the exposure of the login panel for the Eagle For Apache Kafka management interface. Detecting the login panel serves as an indicator that the application might not be securely configured. Unprotected panels could leave systems open to unauthorized access, potentially allowing attackers to gather sensitive information about the Kafka environment. Thus, identifying such exposed endpoints is crucial for ensuring that organizations take appropriate measures to secure their data infrastructure. This detection capability plays a critical role in proactive cybersecurity measures, reducing the risk of exploitation.
Technically, this vulnerability is characterized by an unprotected access point that may be accessible through regular HTTP requests. The scanner performs GET requests to specific endpoints like the main URL or the sign-in page to check for the presence of identifiable page content, such as the HTML title tag signifying a login page. The response status code, as well as specific keywords, are evaluated to confirm the vulnerability. By identifying these open access points, organizations can assess their configurations, ensuring that appropriate authentication mechanisms are enforced.
If exploited, this vulnerability can allow malicious actors to attempt unauthorized access to the system, potentially leading to data leaks or system manipulation. With entry into the management console, an attacker may alter configurations or siphon off valuable metrics and data, disrupting business processes and possibly causing financial and reputational damage. Ensuring that login panels are appropriately secured is essential to prevent such unauthorized interactions.
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