analyzing-malicious-url-with-urlscan

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-malicious-url-with-urlscan
0 commentsdiscussion
summary

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

skill.md
name
analyzing-malicious-url-with-urlscan
description
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
domain
cybersecurity
subdomain
phishing-defense
tags
- phishing - email-security - social-engineering - dmarc - awareness - url-analysis - threat-intelligence
version
'1.0'
author
mahipal
license
Apache-2.0
atlas_techniques
- AML.T0052
nist_csf
- PR.AT-01 - DE.CM-09 - RS.CO-02 - DE.AE-02

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
how to use analyzing-malicious-url-with-urlscan

How to use analyzing-malicious-url-with-urlscan on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add analyzing-malicious-url-with-urlscan
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-malicious-url-with-urlscan

The skills CLI fetches analyzing-malicious-url-with-urlscan from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/analyzing-malicious-url-with-urlscan

Reload or restart Cursor to activate analyzing-malicious-url-with-urlscan. Access the skill through slash commands (e.g., /analyzing-malicious-url-with-urlscan) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.668 reviews
  • Chaitanya Patil· Dec 28, 2024

    Useful defaults in analyzing-malicious-url-with-urlscan — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hiroshi Sethi· Dec 28, 2024

    analyzing-malicious-url-with-urlscan has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Valentina Wang· Dec 24, 2024

    Keeps context tight: analyzing-malicious-url-with-urlscan is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Li Gupta· Dec 16, 2024

    analyzing-malicious-url-with-urlscan reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zara Liu· Dec 12, 2024

    I recommend analyzing-malicious-url-with-urlscan for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ama Rahman· Dec 12, 2024

    We added analyzing-malicious-url-with-urlscan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hiroshi Anderson· Dec 4, 2024

    Registry listing for analyzing-malicious-url-with-urlscan matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Piyush G· Nov 19, 2024

    analyzing-malicious-url-with-urlscan has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Li Khanna· Nov 19, 2024

    Useful defaults in analyzing-malicious-url-with-urlscan — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Tariq Desai· Nov 15, 2024

    We added analyzing-malicious-url-with-urlscan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

showing 1-10 of 68

1 / 7