Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

2.1 KiB

name description domain subdomain tags version author license nist_csf
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 cybersecurity threat-intelligence
osint
spiderfoot
reconnaissance
threat-intelligence
attack-surface
target-profiling
1.0 mahipal Apache-2.0
ID.RA-01
ID.RA-05
DE.CM-01
DE.AE-02

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.