Enterprise Server Panel Detection Scanner

GitHub Enterprise Server - Panel Detection Scanner

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

13 days 20 hours

Scan only one

URL

Toolbox

-

GitHub Enterprise Server is a self-hosted version of GitHub's development platform, widely used by organizations for managing their code repository, collaboration, and delivery. It is specifically designed for enterprises to have more control over their data and integrate with internal systems. GitHub Enterprise helps in scaling development processes across teams with robust security and compliance features. Enterprises use this product to streamline their development workflows and ensure better version control. Developers can collaborate on code in a centralized manner, which improves productivity and lowers the risk of errors. Overall, it facilitates seamless software development, innovation, and collaboration at scale.

The detected vulnerability in GitHub Enterprise Server pertains to the visibility of its login panel. Unauthorized detection of the panel could indicate publicly accessible endpoints, making the system prone to attacks. Panel Detection vulnerability allows potential attackers to identify the existence of enterprise services, which could lead to targeted attacks. The main issue lies in the exposability of the login interface, potentially allowing malicious entities to attempt unauthorized access. Additionally, spotting such a panel could reveal valuable information about the infrastructure being used, leading to focused reconnaissance. While it does not indicate a direct threat, it forms the first step in orchestrating an attack.

In technical terms, Panel Detection involves noticing specific keywords or paths associated with a service's login page. In this scenario, the vulnerable endpoint is the /login path of GitHub Enterprise Server. The words "GitHub · Enterprise" are part of the page's signature text, which the detection scanner identifies. Such detection occurs through HTTP methods like GET requests that match known patterns of the login interface. The panel may redirect users or display specific content recognizable by automated tools and attackers. Identifying these tell-tale signs can help in detailing the exposure level of enterprise deployment. While these indicators do not compromise security immediately, they provide attackers with initial footing.

When attackers exploit Panel Detection vulnerabilities, they might prepare further attacks on the enterprise login interface. Exploiting this could lead to unauthorized access attempts, brute force attacks, or credential stuffing. Consequently, it can pave the way for more severe breaches, such as data exfiltration, privilege escalation, or Denial of Service (DoS). Additionally, it could compromise organizational reputation as it indicates loose security measures in place. It is also instrumental in attackers crafting phishing schemes targeting employees by referencing known service interfaces. Hence, identifying such endpoints is crucial for mitigating broader security threats.

REFERENCES

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