网络安全 Analyzing Malicious Url With Urlscan

Analyzing Malicious Url With Urlscan：网络安全 skill: analyzing-malicious-url-with-urlscan，适用于安全分析、取证与威胁排查场景。

Skill Documentation

网络安全 Analyzing Malicious Url With Urlscan

摘要

Analyzing Malicious Url With Urlscan：网络安全 skill: analyzing-malicious-url-with-urlscan，适用于安全分析、取证与威胁排查场景。

> 来源: mukul975/Anthropic-Cybersecurity-Skills (18k stars) — 网络安全专业技能集

> 原文件: skills/analyzing-malicious-url-with-urlscan/SKILL.md

> 模型推荐: claude-opus-4-7 (安全分析深度推理)

这个 skill 是干嘛的

mukul975 整理的 100+ 个网络安全专业 skill — 覆盖渗透测试 / 取证 / 威胁情报 / 合规审计 / 云安全 / 移动安全 等领域。每个 skill 对应一个具体的安全分析任务。

michael 强调"skill 要有相应的指导功能,指导用户使用",所以加了下面两节让 Agent 和用户对接。

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🤖 Agent 使用说明

1. 用户提到"分析 X 日志 / 取证 / 检测威胁 / 渗透测试 / 安全审计"时触发对应 skill

2. skill 按操作步骤执行(取证镜像 / 解析日志 / 跑威胁情报)

3. 涉及破坏性操作前必须 ask user 确认

4. 完工后跑自检

5. 区分"防御性分析" vs "恶意代码审计"

👤 用户需要做什么?

1. 告诉 Agent 你要做什么(分析日志 / 取证 / 安全审计 / 渗透测试)

2. 按 Agent 提示提供文件/镜像/日志/哈希

3. 涉及破坏性操作时明确告诉 Agent"继续"或"取消"

4. 全程 Agent 自动化,你只需提供数据 + 回答决策点

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原 skill 内容(mukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-malicious-url-with-urlscan/SKILL.md,截断到 12k chars)

---

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

mitre_attack:

• T1566.002
• T1204.001
• T1598.003

---

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

• **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

常见问题（FAQ）

使用「Analyzing Mali」这个 skill 能解决什么问题?

本 skill 专注于Analyzing Mali，网络安全 skill: analyzing-malicious-url-with-urlscan。它将相关流程标准化，帮助用户更快拿到可靠结果，减少重复手工操作。

什么情况下适合使用「Analyzing Mali」?

当你需要在Analyzing Malicious Url With Urlscan相关工作中获得稳定、可复用的产出时最适合——无论是单次任务还是纳入日常工作流，都能直接调用。

使用「Analyzing Mali」前需要准备什么?

需要明确授权范围内的目标系统或样本文件，并准备隔离的分析环境（虚拟机/沙箱）。