mukul975Install Analyzing Malicious Url With Urlscan
Pick your agent. Every command is ready to paste.
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-url-with-urlscanThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads analyzing-malicious-url-with-urlscan when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the analyzing-malicious-url-with-urlscan skill”. In Codex, type $analyzing-malicious-url-with-urlscan.
The skill itself
SKILL.md
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
- 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
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
- 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
Tips for Analyzing Malicious Url With Urlscan
- • Start a fresh session after installing so your agent picks up the new skill.
- • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
- • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
- • It is part of a pack with 40 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Analyzing Malicious Url With Urlscan
What does the Analyzing Malicious Url With Urlscan skill do?
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 isolat
How do I install Analyzing Malicious Url With Urlscan?
Run "npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-url-with-urlscan" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Analyzing Malicious Url With Urlscan work in Cursor and Codex?
Yes. Analyzing Malicious Url With Urlscan uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Analyzing Malicious Url With Urlscan free?
Analyzing Malicious Url With Urlscan is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.
Who made Analyzing Malicious Url With Urlscan?
Analyzing Malicious Url With Urlscan is published by mukul975 in the mukul975/Anthropic-Cybersecurity-Skills repository, together with 39 other skills.
