mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
58 lines
2.1 KiB
Markdown
58 lines
2.1 KiB
Markdown
---
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name: performing-osint-with-spiderfoot
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description: Automate OSINT collection using SpiderFoot REST API and CLI for target profiling, module-based reconnaissance,
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and structured result analysis across 200+ data sources
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domain: cybersecurity
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subdomain: threat-intelligence
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tags:
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- osint
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- spiderfoot
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- reconnaissance
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- threat-intelligence
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- attack-surface
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- target-profiling
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- ID.RA-01
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- ID.RA-05
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- DE.CM-01
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- DE.AE-02
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---
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# Performing OSINT with SpiderFoot
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## Overview
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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.
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## When to Use
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- When conducting security assessments that involve performing osint with spiderfoot
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- When following incident response procedures for related security events
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- When performing scheduled security testing or auditing activities
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- When validating security controls through hands-on testing
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## Prerequisites
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- SpiderFoot 4.0+ installed or SpiderFoot HX cloud account
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- Python 3.8+ with requests library
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- SpiderFoot server running on default port 5001
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- Optional: API keys for VirusTotal, Shodan, HaveIBeenPwned modules
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## Steps
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1. Connect to SpiderFoot REST API or use CLI interface
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2. Create a new scan with target specification (domain, IP, email, name)
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3. Select scan modules by use case (all, footprint, investigate, passive)
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4. Monitor scan progress via API polling
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5. Retrieve and parse scan results by data element type
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6. Extract key findings: subdomains, IPs, emails, leaked credentials
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7. Generate structured OSINT intelligence report
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## Expected Output
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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.
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