How do I install the Analyzing Malicious Url With Urlscan skill?

Run npx skillmds@latest add njones17/analyzing-malicious-url-with-urlscan in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Analyzing Malicious Url With Urlscan safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Analyzing Malicious Url With Urlscan?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Analyzing Malicious Url With Urlscan free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Analyzing Malicious Url With Urlscan?

Njones17 (@njones17) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Analyzing Malicious Url With Urlscan by njones17

Name: Analyzing Malicious Url With Urlscan
Rating: 4.2 (5 reviews)
Author: Njones17

File contents

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.

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

Safe browsing: Renders URLs in isolated Chromium instance
Screenshot capture: Visual snapshot of the rendered page
DOM analysis: Full HTML content after JavaScript execution
Network log: All HTTP requests made by the page (HAR format)
Certificate analysis: SSL/TLS certificate details
Technology detection: Identifies web frameworks and libraries
IP/ASN mapping: Infrastructure intelligence
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

Implementation Steps

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

URLScan.io: https://urlscan.io/
URLScan API: https://urlscan.io/docs/api/
VirusTotal URL Scanner: https://www.virustotal.com/
PhishTank: https://phishtank.org/
Google Safe Browsing: https://transparencyreport.google.com/safe-browsing/search
Any.Run: https://any.run/ (interactive sandbox)
Hybrid Analysis: https://www.hybrid-analysis.com/

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

---name: analyzing-malicious-url-with-urlscandescription: 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 isolatlicense: MIT---# Analyzing Malicious URL with URLScan## OverviewURLScan.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.## 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 Capabilities1. **Safe browsing**: Renders URLs in isolated Chromium instance2. **Screenshot capture**: Visual snapshot of the rendered page3. **DOM analysis**: Full HTML content after JavaScript execution4. **Network log**: All HTTP requests made by the page (HAR format)5. **Certificate analysis**: SSL/TLS certificate details6. **Technology detection**: Identifies web frameworks and libraries7. **IP/ASN mapping**: Infrastructure intelligence8. **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## Implementation Steps### Step 1: Submit URL to URLScan```Web: Navigate to https://urlscan.io and submit the suspicious URLAPI: 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 IntelligenceUse the `scripts/process.py` to automate URL scanning, extract IOCs, and cross-reference with VirusTotal, PhishTank, and Google Safe Browsing.## Tools & Resources- **URLScan.io**: https://urlscan.io/- **URLScan API**: https://urlscan.io/docs/api/- **VirusTotal URL Scanner**: https://www.virustotal.com/- **PhishTank**: https://phishtank.org/- **Google Safe Browsing**: https://transparencyreport.google.com/safe-browsing/search- **Any.Run**: https://any.run/ (interactive sandbox)- **Hybrid Analysis**: https://www.hybrid-analysis.com/## 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

Frequently asked questions

Analyzing Malicious Url With Urlscan