Traggo Default Login Scanner
This scanner detects the use of Traggo in digital assets.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
25 days 6 hours
Scan only one
Domain, Subdomain, IPv4
Toolbox
The Traggo time tracking application is used primarily by businesses to manage and monitor employees' working hours. Developed for both small and large enterprises, the software provides an intuitive interface for both managers and team members. Its functionalities are enhanced by integration with calendars and task management platforms. The application is used to streamline operations, boost productivity, and provide comprehensive reports for improved decision-making. However, secure credential management from the first login is crucial to maintain its security integrity. The ease of configuration makes it a preferred choice for businesses looking for efficient time-tracking solutions.
The vulnerability detected involves the use of default login credentials in the Traggo application. Default login credentials, like admin:admin, are often used during the initial setup process and are easily exploited if not changed. This poses a significant risk as unauthorized individuals might gain access to sensitive information and administrative privileges. The scanner identifies the active use of these credentials, prompting users to update them and secure their systems. By detecting this vulnerability, businesses can prevent unauthorized access and ensure the confidentiality and integrity of their data. Such vulnerabilities are typically exploited by attackers to gain a foothold into networked systems.
The detection process involves sending raw HTTP requests to Traggo's login endpoint, specifically targeting the GraphQL interface. The scanner checks for successful login attempts using default credentials, leveraging logical conditions such as "status_code == 200" and presence of session cookies. For a successful detection, the system should respond as if authenticated, evidenced by administrative identifiers in the response body. The scanner effectively establishes the existence of default credentials by validating these specific response patterns. This technical examination focuses on identifying the misconfiguration in Traggo's authentication process. The emphasis is placed on recognizing set cookies and admin session parameters, confirming unauthorized admin access capability.
If exploited, this vulnerability can lead to unauthorized administrative access, potentially allowing attackers to modify configuration settings, exfiltrate sensitive data, or disrupt business operations. Unauthorized access could compromise the integrity of time tracking records, leading to inaccuracies in employee management and payroll. Additionally, attackers could insert malicious components or manipulate existing datasets which would compromise data reliability. This loss of control over the application's environment undermines business operations and erodes trust in the system. The indirect costs include damage to reputation and potential legal repercussions for failing to secure user data.
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