Urlscan 1.4.0

Urlscan

🔎 An async and lightweight C# library for interacting with the Urlscan API.

Usage

This library provides an easy interface for interacting with the Urlscan API. You can use this library to automate your Urlscan submissions, search for existing scans, track newly submitted scans and analyse network activity of malicious websites.

To get started, import the library into your solution with either the NuGet Package Manager or the dotnet CLI.

dotnet add package Urlscan

For the primary classes to become available, import the used namespace.

using Urlscan;

Need more examples? Under the Example directory you can find a working demo project that implements this library.

Obtaining API keys

API keys can be created under the user section Settings & API.

Secure identifier SID cookies can be obtained from your browser's cookie storage. Make sure to only copy the value, without the name!

Properties

• Built for .NET 8, .NET 7 and .NET 6
• Fully async
• Extensive XML documentation
• Coverage of the free API endpoints, including some user-only and beta routes
• No external dependencies (makes use of built-in HttpClient and JsonSerializer)
• Custom exceptions (UrlscanException) for easy debugging
• Parsing of custom Urlscan errors
• Example project to demonstrate all capabilities of the library

Features

• Scan suspicious URLs and submit verdicts on them
• Search for public scans using ElasticSearch queries
• Download screenshots and page DOMs
• Empower your threat intelligence with live scans through LiveClient

Code Samples

Initializing a new API client

UrlscanClient client = new("d339bf51-9bc7-4d6a-a960-a264896b1891");

Getting the current user

User user = await client.GetCurrentUser();

Submitting a new scan

Submission subm = await client.Scan(new ScanParameters()
{
    Url = "https://example.com",
    Tags = new string[] { "test" },
    Country = ScanCountry.FI,
    UserAgent = "My-Custom-Scanner/1.0.0",
    OverrideSafety = false,
    Referer = "https://google.com",
    Visibility = Visibility.Public
});

Polling a submission for the result

Result res = await client.Poll(subm);

Getting similar scans

SimilarScan[] similar = await client.GetSimilarScans("bc1ef5f2-eddc-40ae-86c9-fb5894b5d1f2");

Processing newly created scans in real time

LiveClient live = new();
live.UrlScanned += (sender, scan) =>
{
    Console.WriteLine(scan.Task.URL[..Math.Min(scan.Task.URL.Length, 50)]);
};

Adding a verdict to a scan

await client.AddVerdict(new VerdictParameters()
{
    UUID = "8964cc71-ea31-476c-ba8f-863bf4bf6b2f",
    Comment = "Running a Discord phishing scam with Discord HypeSquad as their target.",
    Scope = VerdictScope.PageDomain,
    ScopeValue = "contact-hype-testers.com",
    ThreatTypes = new ThreatType[]
    {
        ThreatType.Phishing,
        ThreatType.BrandImpersonation
    },
    Brands = new string[]
    {
        "Discord"
    },
    Verdict = VerdictType.Malicious
});

References

• Official website: https://urlscan.io
• Urlscan Twitter: https://twitter.com/urlscanio

This is a community-ran library. Not affiliated with Urlscan GmbH.