Camunda Default Login Scanner
This scanner detects the use of Camunda in digital assets.
Short Info
Level
High
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
1 minute
Time Interval
10 days 8 hours
Scan only one
Domain, IPv4, Subdomain
Toolbox
-
The Camunda platform is widely used in business process management (BPM) to automate and optimize processes within various organizational sectors, from finance to healthcare. It facilitates process automation, decision modeling, and complex event processing, often integrated into larger enterprise systems. The platform supports both cloud-based and on-premises deployments, enhancing flexibility and scalability for businesses. Additionally, Camunda is favored by developers for its open-source capabilities and active community support, which provide numerous resources and plugins to extend functionality. This inclusivity allows organizations of all sizes to implement and adapt to ever-changing business requirements.
This scanner detects a Default Login vulnerability in Camunda, which occurs when applications come with preset credentials that may not be changed by operators. Such defaults pose significant security risks as they allow unauthorized access if discovered by malicious entities. Default credentials are often poorly documented, allowing attackers to easily gain administrative access. The vulnerability poses threats like unauthorized data access, modification, or even system takeover. Identifying and mitigating such vulnerabilities is crucial to maintaining the security integrity of systems and preventing potential data breaches.
The Default Login vulnerability in Camunda is identified through exposed paths and endpoints like `/camunda/app/welcome/default/` and `/camunda/api/admin/auth/user/default/login/welcome`. Attackers may exploit these by attempting to use default usernames and passwords, such as 'demo'. The scanner employs specific matching conditions to confirm unauthorized access by checking expected responses and status codes indicative of a successful login. Additionally, the presence of XSRF tokens within cookies may be leveraged, potentially exposing further vulnerabilities. Understanding these technical specifics aids in proactive vulnerability management.
When exploited, this vulnerability can lead to severe unauthorized access, posing risks such as sensitive data exposure and system manipulation. Attackers could access confidential databases, alter processed data, and interfere with business operations, impacting organizational efficiency and data integrity. Even more concerning, systems could be used as stepping stones for further attacks within a network. The potential unauthorized control gained by malicious actors underscores the necessity of securing default configurations to prevent exploitations and safeguard digital assets.
REFERENCES
