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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
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SOC 직업 분류 기준
Produces a structured Windows system report that synthesises performance and security signals into a single Markdown document and writes it to disk. Combines sysinfo, tasklist, network connections, recent event log entries, Defender state, autoruns, hotfix list, and disk usage into an executive summary plus per-axis sections plus actionable findings. Activates when the user asks Lucy to "generate / produce / build / write / compile / elaborate" a "report / informe / reporte / auditoría / overview" of "the machine / la maquina / mi equipo / mi laptop / the host" with optional persistence target (escritorio / desktop / archivo / .md / .pdf).
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
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Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
| 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"] |
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.
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"}
Use the scripts/process.py to automate URL scanning, extract IOCs, and cross-reference with VirusTotal, PhishTank, and Google Safe Browsing.