mantisbt Default Login Scanner
This scanner detects the use of mantisbt in digital assets.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
17 days 10 hours
Scan only one
URL
Toolbox
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MantisBT is a popular open-source bug tracking system used by many organizations for issue and project management. It allows development teams to track software development progress and manage tasks. Primarily used by developers, testers, and project managers, it supports a range of customization options to tailor to specific workflows. MantisBT is often deployed in IT environments for tracking bugs, enhancements, and project milestones. Users from various industries may rely on MantisBT for managing issues and improving software quality. Its adaptability and collaborative features make it valuable in software development cycles.
The vulnerability detected by the scanner pertains to weak authentication mechanisms, specifically anonymous login vulnerabilities. Such flaws can allow unauthorized access to systems, potentially exposing sensitive information or allowing unauthorized actions. Detecting default login configurations helps organizations identify potential security weaknesses. Default or weak login setups often result from improper initial configurations or oversight. By identifying these weaknesses, organizations can enforce stronger authentication measures. Addressing such vulnerabilities is crucial for maintaining the confidentiality and integrity of digital systems.
In terms of technical details, the scanner looks for pages within the MantisBT application that exhibit anonymous login behavior. It examines the HTML content of specific pages, checking for indicators that suggest an anonymous user session. The points of interest include elements within the HTML body that confirm an anonymous user status. The scanner confirms access by ensuring the HTTP status code is 200, signaling successful page retrieval. Paths like 'my_view_page.php' are targeted as they typically require authentication. By analyzing these responses, the scanner can deduce if default login vulnerabilities exist.
When vulnerabilities of this nature are exploited, they can lead to various adverse outcomes. Unauthorized individuals could gain access to sensitive project or bug data, affecting confidentiality. This might result in data leakage or manipulation of project information, undermining trust in the system. Exploit of default login vulnerabilities can also lead to unauthorized changes or disruptions to the project management workflow. The presence of these vulnerabilities might further encourage attackers to attempt additional exploits. In severe cases, it might provide a foothold for further infiltration into a network.