n8n Panel Detection Scanner
This scanner detects the use of n8n Panel in digital assets. It assists in identifying the presence of n8n's workflow automation platform, valuable for security audits and risk management.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
8 days 8 hours
Scan only one
URL
Toolbox
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The n8n Panel is used widely by technical teams seeking a seamless workflow automation solution that is highly customizable. As a service that simplifies complex automation tasks, n8n is an open-source platform preferred by developers for its flexibility and extensibility. It is commonly implemented in environments that require integrations across various software services, including cloud services and databases. By offering a user-friendly interface, n8n allows technical and non-technical users to automate business processes efficiently. The panel is meant to provide easy access to all automation tasks and management of workflows from a single location. Its versatility makes it ideal not only for enterprises but also for smaller teams looking for cost-effective automation.
The vulnerability detected by this scanner is primarily a detection vulnerability. Confirming the presence of such platforms in digital assets can aid in understanding potential exposure points. This type of vulnerability is not directly harmful; however, it can highlight potential information disclosure that might be leveraged for planning more focused attacks. Panels like n8n are targeted for reconnaissance by attackers to gather information about the software in use. Passive detection of n8n implementations could assist malicious actors in devising further exploitation tactics. Accurately identifying such exploit surfaces is crucial for proactive defense.
The n8n Panel detection relies on specific characteristics within HTTP responses, particularly the presence of identifiable elements such as specific words in the body content and HTTP status codes. This typically involves issuing a GET request to the application’s signin endpoint and analyzing the returned HTML for known markers like titles associated with n8n. The scanning method employs word matching within the body of the HTTP response to conclude successful detection. A status code of 200 from the server additionally indicates the accessibility of the n8n sign-in panel, marking a successful detection. These technical attributes are critical for frameworks aiming to identify the platform accurately.
When exploited by malicious actors, detection vulnerabilities can lead to unauthorized reconnaissance and information gathering about a particular digital asset. This can, in turn, pave the way for more critical attacks, such as targeted exploits or social engineering attacks. Identifying presence without further protective measures might increase the risk of unauthorized information gathering and exposure to follow-up attacks. Thus, knowing what services are externally visible assists organizations in mitigating unnecessary exposure and analyzing possible weak points in security posture. Preparing for possible reconnaissance can enhance readiness against future attacks.
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