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analyzing-malicious-url-with-urlscan

analyzing-malicious-url-with-urlscan

github.com/mukul975Security35.2k413 installsUpdated 8w ago
Repository

About analyzing-malicious-url-with-urlscan

A security-analysis skill for investigating suspicious URLs with URLScan.io. It guides analysts through isolated page inspection, redirect and network review, and IOC extraction for phishing and malicious-page investigations.

Key features

  1. 01Submit URLs through web or API
  2. 02Review screenshots and page DOM
  3. 03Trace redirects and network requests
  4. 04Inspect certificates and technologies
  5. 05Extract domains, IPs, and hashes

Use cases

  1. 01Investigate suspected phishing links
  2. 02Identify credential-harvesting pages
  3. 03Document redirect chains and IOCs
  4. 04Cross-check URL findings with threat intelligence

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-malicious-url-with-urlscan

After installing, type/analyzing-malicious-url-with-urlscanin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

LICENSE
assets/
template.md
references/
api-reference.md
standards.md
workflows.md
scripts/
agent.py
process.py

Details

From the project README

Analyzing Malicious URL with URLScan

Overview

URLScan.io is a free service for scanning and analyzing suspicious URLs. It captures screenshots, DOM content, HTTP transactions, JavaScript behavior, and network connections of web pages in an isolated environment. This skill covers using URLScan's web interface and API to investigate phishing URLs, credential harvesting pages, and malicious redirects without exposing the analyst's system to risk.

When to Use

  • When investigating security incidents that require analyzing malicious url with urlscan
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • URLScan.io account (free tier available, API key for automation)
  • Python 3.8+ with requests library
  • Understanding of HTTP protocols and web technologies
  • Familiarity with phishing URL patterns

Key Concepts

URLScan Capabilities
  1. Safe browsing: Renders URLs in isolated Chromium instance
  2. Screenshot capture: Visual snapshot of the rendered page
  3. DOM analysis: Full HTML content after JavaScript execution
  4. Network log: All HTTP requests made by the page (HAR format)
  5. Certificate analysis: SSL/TLS certificate details
  6. Technology detection: Identifies web frameworks and libraries
  7. IP/ASN mapping: Infrastructure intelligence
  8. Verdict: Community and automated classification
Phishing URL Red Flags
  • Newly registered domains (< 30 days)
  • Free hosting services (Wix, GitHub Pages, Firebase)
  • URL shorteners hiding final destination
  • Excessive subdomain depth (login.microsoft.com.evil.com)
  • Brand name in subdomain or path, not domain
  • Non-standard ports
  • Data URIs or base64-encoded content
  • JavaScript-heavy pages with minimal HTML

Workflow

Step 1: Submit URL to URLScan
Web: Navigate to https://urlscan.io and submit the suspicious URL
API: POST https://urlscan.io/api/v1/scan/
     Header: API-Key: your-api-key
     Body: {"url": "https://suspicious-url.com", "visibility": "private"}
Step 2: Analyze Results
  • Review screenshot for brand impersonation
  • Check redirects and final destination URL
  • Examine DOM for credential input forms
  • Review network requests for data exfiltration endpoints
  • Check SSL certificate validity and issuer
Step 3: Extract IOCs
  • Domains and IPs contacted
  • URLs in redirect chain
  • SHA-256 hashes of page resources
  • JavaScript file hashes
Step 4: Cross-Reference with Threat Intelligence

Use the scripts/process.py to automate URL scanning, extract IOCs, and cross-reference with VirusTotal, PhishTank, and Google Safe Browsing.

Tools & Resources

Validation

  • Successfully scan a suspicious URL via API
  • Extract screenshot and identify brand impersonation
  • Document complete redirect chain
  • Generate IOC list from scan results
  • Cross-reference findings with at least 2 threat intelligence sources

Comments

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