Hangfire Panel Detection Scanner
This scanner detects the use of Hangfire Dashboard panels in digital assets. It helps users identify the presence of publicly accessible Hangfire management interfaces, crucial for managing background job processing.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
24 days 22 hours
Scan only one
URL
Toolbox
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Hangfire is a popular open-source .NET library used for background job processing in applications built with ASP.NET. It allows developers to schedule and execute tasks asynchronously, improving application performance by offloading work to be done later. The software is widely adopted by developers in various industries to manage time-consuming operations like sending emails, processing reports, and cleaning databases. Hangfire provides a clean Dashboard interface for monitoring these background jobs, making it valuable for developers and system administrators. Its ease of integration and simple setup make it a favored choice in the .NET ecosystem. Due to its role in job management, it is crucial to ensure that the Hangfire Dashboard is secured behind authentication mechanisms.
The vulnerability identified is related to the potential exposure of the Hangfire Dashboard without adequate access control. Panel Detection involves identifying the presence of publicly accessible Hangfire dashboards, which could lead to unauthorized access if proper security measures are not implemented. A publicly accessible dashboard could give insight into the types and statuses of background jobs, which might indirectly expose sensitive operational information. The importance of this detection lies in preventing unauthorized users from exploiting potential configuration oversights. Such vulnerabilities are categorized under security misconfigurations, often due to misalignment in default configurations and actual security requirements. Ensuring that these dashboards are not exposed publicly is crucial in maintaining the application's integrity.
The vulnerability details reveal that the detection primarily checks for specific words and a successful HTTP status code in the body of the Hangfire Dashboard. In technical terms, it looks for the presence of "Overview – Hangfire Dashboard" and "Realtime Graph" when accessing the endpoint. HTTP requests are sent to common dashboard URLs to determine their availability and accessibility. The detection is based on finding these markers without requiring authentication, highlighting a potential misconfiguration. The process requires a minimal number of requests due to the efficient detection mechanism designed to ascertain the panel’s existence rapidly. The detection specifically looks for case-insensitive matches and emphasizes the presence of these terms collectively, ensuring that the result is only positive if both conditions are true.
If such a vulnerability is exploited, unauthorized users might gain access to the Hangfire Dashboard, providing them insight into application jobs. This unauthorized access can lead to information disclosure or misuse of job management functionalities. Additionally, an exposed dashboard could potentially allow attackers to manipulate existing jobs or analyze system usage patterns. In environments where sensitive tasks are managed, such exposure could lead to significant security breaches. It could compromise operational integrity, with attackers potentially using the information to craft more targeted attacks or manipulate application behavior. Such scenarios underscore the need for robust access controls and thorough system configuration reviews.