Atlassian Crowd Panel Detection Scanner
This scanner detects the use of Atlassian Crowd Panel 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 18 hours
Scan only one
URL
Toolbox
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Atlassian Crowd is a popular single sign-on (SSO) and user identity management solution. Organizations use it to centralize and simplify authentication and authorization processes across multiple applications. Crowds enable seamless user transitions across connected services, reducing the need for multiple logins. IT departments rely on Crowd for managing collective authentication tasks, ensuring security, and enhancing usability. Educational institutions, enterprises, and governments implement Crowd to streamline user management and boost productivity. Due to its user management capabilities, Crowd is particularly beneficial in environments with a plethora of applications requiring unified access management.
Panel detection is a method used to identify the presence of administrative or management panels in web applications. This scanner detects the login panel for Atlassian Crowd, which could indicate potential access points for unauthorized users. Identifying the login panel can highlight security risks, especially if default credentials or weaknesses exist. The information from such panels does not directly imply vulnerability but highlights areas for security vetting. Organizations use panel detection to safeguard entry points and mitigate potential exploitation risks. In summary, detecting a login panel is an informational security step indicating where attention may be needed.
The scanner checks the './crowd/console/login.action' endpoint for the presence of the Atlassian Crowd login panel. It looks specifically in the page body for the title tag '<title>Atlassian Crowd - Login</title>' to confirm detection. This detection implies that the resource is publicly accessible and is running Atlassian Crowd. The presence of this endpoint signals the availability of a login interface which could be targeted if weak configurations or credentials exist. Technical details such as endpoint accessibility might suggest public exposure, aligning with typical panel detection patterns. Having an open login endpoint without adequate protection could lead to attempts at unauthorized access.
If a malicious actor successfully identifies this panel, they could potentially exploit it by attempting brute force attacks. Exploitation could lead to unauthorized system access and compromise sensitive information or business processes. Detection of such panels may prompt targeted attacks on login mechanisms, seeking vulnerabilities in authentication processes. Additionally, visible panels without security hardening might be used in phishing campaigns, faking legitimate access points. If controls are weak, attackers can try to gain escalated privileges by starting from exposed login interfaces. Inadequate protection of these panels could lead to compromising of broader system security and integrity.
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