AGENT SKILL

performing-osint-with-spiderfoot

Automate OSINT collection using SpiderFoot REST API and CLI for target profiling, module-based reconnaissance, and structured result analysis across 200+ data sources

License 许可
Apache-2.0
最近更新
2026-11-11
Stars
★ 13
Forks
1

01 前言 Front Matter

name
performing-osint-with-spiderfoot
tags
[ "osint", "spiderfoot", "reconnaissance", "threat-intelligence", "attack-surface", "target-profiling" ]
author
mahipal
domain
cybersecurity
source
https://github.com/mukul975/Anthropic-Cybersecurity-Skills
license
Apache-2.0
version
1.0
nist_csf
[ "ID.RA-01", "ID.RA-05", "DE.CM-01", "DE.AE-02" ]
subdomain
threat-intelligence
description
Automate OSINT collection using SpiderFoot REST API and CLI for target profiling, module-based reconnaissance, and structured result analysis across 200+ data sources
mitre_attack
[ "T1591", "T1592", "T1593", "T1589", "T1595" ]
source_commit
04450304b12645cb2b974ab96d28c0664758a88d

02 资源文件 4

03 SKILL.md 正文

Performing OSINT with SpiderFoot

Overview

SpiderFoot is an open-source OSINT automation tool with 200+ modules that integrates with data sources for threat intelligence and attack surface mapping. This skill uses the SpiderFoot REST API and CLI (sf.py/spiderfoot-cli) to create and manage scans, select modules by use case (footprint, investigate, passive), parse structured results for domains, IPs, email addresses, leaked credentials, and DNS records, and generate target intelligence profiles.

When to Use

  • When conducting security assessments that involve performing osint with spiderfoot
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • SpiderFoot 4.0+ installed or SpiderFoot HX cloud account
  • Python 3.8+ with requests library
  • SpiderFoot server running on default port 5001
  • Optional: API keys for VirusTotal, Shodan, HaveIBeenPwned modules

Steps

  1. Connect to SpiderFoot REST API or use CLI interface
  2. Create a new scan with target specification (domain, IP, email, name)
  3. Select scan modules by use case (all, footprint, investigate, passive)
  4. Monitor scan progress via API polling
  5. Retrieve and parse scan results by data element type
  6. Extract key findings: subdomains, IPs, emails, leaked credentials
  7. Generate structured OSINT intelligence report

Expected Output

JSON report containing OSINT findings organized by data type (domains, IPs, emails, credentials, DNS records), module source attribution, and target profile summary with risk indicators.

04 同仓库更多 Skills

Horonomos-laps
Horonomos-laps/Yana-AI

openai--sentry--sentry

Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.

★ 13
Horonomos-laps
Horonomos-laps/Yana-AI

ito-basket-compare

Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.

★ 13
Horonomos-laps
Horonomos-laps/Yana-AI

implementing-network-traffic-baselining

Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling

★ 13
Horonomos-laps
Horonomos-laps/Yana-AI

detecting-evasion-techniques-in-endpoint-logs

Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.

★ 13
Horonomos-laps
Horonomos-laps/Yana-AI

implementing-microsegmentation-with-guardicore

Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.

★ 13
Horonomos-laps
Horonomos-laps/Yana-AI

ramdisk-tmpfs-patterns

暂无简介

★ 13