Black Duck Hub Panel Detection Scanner
This scanner detects the use of Black Duck Hub Panel in digital assets.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
23 days 19 hours
Scan only one
URL
Toolbox
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Black Duck Hub is a software composition analysis tool used by organizations to manage open source software risks. It is designed for software developers, security teams, and compliance officers to ensure the security of their code by identifying vulnerabilities in open source components. The tool helps its users in tracking the usage of open source in their applications. Black Duck Hub is widely used in industries like finance, technology, and healthcare to safeguard against open-source vulnerabilities. Companies utilize Black Duck to ensure they comply with open source licensing and to identify potential security vulnerabilities. It provides insights into potential risks and suggests remediation actions to maintain the security of software projects.
Panel detection vulnerabilities involve identifying the presence of administrative or login panels exposed to unauthorized users. These panels can serve as entry points for malicious actors to exploit. If an attacker gains access to the login panel, they could potentially attempt further actions such as brute forcing passwords and gaining unauthorized access. The detection of a login panel like Black Duck's indicates the presence of a visible entry point that should be secured. Keeping these panels unprotected could lead to unauthorized access or data breaches. It is crucial to monitor and secure panels to mitigate potential security risks and ensure system integrity.
Technical details regarding the Black Duck Hub panel detection involve sending HTTP requests to probe for specific response characteristics. The template identifies Black Duck's login panel by checking the HTML title and specific words in the body that indicate the presence of the panel, such as 'Black Duck' and 'ProtexLoginPage'. The aim is to detect whether a Black Duck login panel is exposed by analyzing the body of the HTTP response for these specific patterns. The use of both title and keyword matchers ensures a higher degree of accuracy in panel detection. The template further verifies the presence of the panel by expecting a successful HTTP 200 status code, indicating the panel is accessible.
Potential effects of exploiting an unprotected login panel include unauthorized access to the application, data theft, and unauthorized modifications. If a malicious actor gains entry through the login panel, they could potentially elevate privileges, access sensitive data, or disrupt operations. Unauthorized access to critical panels may lead to a compromise of confidential information or backdoor installations, leading to more severe consequences. Ensuring the security of such panels is vital to prevent misuse and maintain trust in the system’s security posture.
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