Skeepers Panel Detection Scanner

This scanner detects the use of Skeepers Login Panel in digital assets. It is valuable for identifying the presence of Skeepers login interfaces to ensure security and proper configuration.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

2 weeks 20 hours

Scan only one

URL

Toolbox

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Skeepers Login Panel is a component of the Skeepers digital platform typically used by businesses for managing customer engagement and feedback. This software is often employed by companies aiming to optimize their customer relations and user experiences through data-driven insights. It aids in tracking customer interactions, gathering feedback, and enhancing marketing strategies. The login panel is essential for users to access personalized dashboards and administrative features. Skeepers is widely used across various industries due to its flexibility and integration capabilities. It provides an interface where users can manage their accounts and settings securely.

The detected vulnerability is related to the identification of the Skeepers Login Panel in web applications. Recognizing the presence of such panels is crucial for security audits and compliance checks. Security misconfigurations can lead to unauthorized access if administrative panels are left exposed. This detection template helps identify where the login panels are deployed, aiding in securing these entry points. Such detection is essential for preventing unauthorized access and potential data breaches. The scanner aids in maintaining robust security protocols by ensuring proper panel configurations and access controls are in place.

The technical details of this detection involve analyzing HTTP responses to identify patterns suggesting a Skeepers login panel. The scanner checks for specific status codes and unique HTML body contents associated with Skeepers. It verifies the existence of terms like "skeepers" and "login" within the page's content. The scanner is configured to stop at the first successful match to optimize performance. It uses a regex pattern to potentially extract version information, although exact version detection may vary based on the implementation.

Exploiting a misconfigured login panel could allow unauthorized individuals to access sensitive areas of an application, potentially leading to data breaches or control over administrative functions. This could result in the loss of sensitive customer data, manipulation of application settings, or unauthorized actions taken within the system. Such vulnerabilities underscore the importance of securing all login access points and monitoring them for unauthorized attempts. By detecting these panels, organizations can ensure they remain secure against unauthorized access and maintain the integrity of their customer data.

REFERENCES

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