GoCD Panel Detection Scanner
This scanner detects the use of GoCD login panel in digital assets. It identifies systems running GoCD to analyze the security posture and enhance defensive strategies.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
11 days 8 hours
Scan only one
URL
Toolbox
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GoCD is a tool used for continuous delivery in software development. It is widely employed by developers and DevOps teams to automate and streamline their release processes. Companies around the world utilize GoCD for deploying software applications efficiently and with minimal downtime. Its focus is primarily on continuous delivery, helping teams to achieve quick feedback loops and faster iterations. GoCD's architecture is conducive to pipeline modeling, making it suitable for large-scale deployments. Additionally, the tool integrates seamlessly with popular version control systems.
The vulnerability detected by this scanner pertains to identifying the GoCD login panel. This detection allows security professionals to recognize systems that might be exposed to unauthorized access attempts. Although not inherently a flaw, the presence of a login panel without proper security measures could be problematic. Identifying these endpoints is crucial for reinforcing network defenses. It limits the opportunity for attack vectors related to authentication weaknesses. The detection helps provide insights into surface-area management.
The vulnerability details involve recognizing the GoCD login panel by requesting a specific URL path and checking for certain words and HTTP status codes. The endpoint '/go/auth/login' is checked for indications of a GoCD instance. The scanner seeks specific HTML identifiers like titles and parameters that confirm the presence of a GoCD login interface. This helps in inventorying internet-facing GoCD applications and planning appropriate measures. Technically, ensuring a panel is correctly identified avoids false security assumptions.
If exploited by malicious entities, the possible impact includes exposure to unauthorized login attempts and increased risk of brute force attacks. Moreover, the detection of the panel could potentially lead to information gaps that skilled attackers could leverage. Organizations might face operational disruptions if secure authentication methods are not in place. Further, without appropriate measures, confidential data or control operations might be at risk. Enhancing login mechanism security is advised to mitigate these risks.
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