mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
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
140 lines
5.0 KiB
Python
140 lines
5.0 KiB
Python
#!/usr/bin/env python3
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# For authorized penetration testing and educational environments only.
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# Usage against targets without prior mutual consent is illegal.
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# It is the end user's responsibility to obey all applicable local, state and federal laws.
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"""Spearphishing simulation campaign agent using GoPhish API."""
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import json
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import sys
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import argparse
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from datetime import datetime
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try:
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import requests
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requests.packages.urllib3.disable_warnings()
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except ImportError:
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print("Install: pip install requests")
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sys.exit(1)
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class GoPhishCampaign:
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"""GoPhish campaign manager for spearphishing simulations."""
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def __init__(self, base_url, api_key):
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self.url = base_url.rstrip("/")
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self.headers = {"Authorization": f"Bearer {api_key}"}
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def _req(self, method, endpoint, data=None):
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resp = requests.request(method, f"{self.url}/api/{endpoint}",
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headers=self.headers, json=data, verify=False)
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resp.raise_for_status()
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return resp.json()
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def create_campaign(self, name, template_id, page_id, smtp_id, group_id, launch_date=None):
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return self._req("POST", "campaigns/", {
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"name": name, "template": {"id": template_id},
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"page": {"id": page_id}, "smtp": {"id": smtp_id},
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"groups": [{"id": group_id}],
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"launch_date": launch_date or datetime.utcnow().isoformat() + "Z",
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})
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def get_summary(self, campaign_id):
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return self._req("GET", f"campaigns/{campaign_id}/summary")
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def list_campaigns(self):
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return self._req("GET", "campaigns/")
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def complete_campaign(self, campaign_id):
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return self._req("DELETE", f"campaigns/{campaign_id}")
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def generate_spearphish_templates():
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"""Generate targeted spearphishing email templates."""
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return [
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{
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"name": "Shared Document Notification",
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"subject": "{{.FirstName}}, {{.From}} shared a document with you",
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"category": "credential_harvest",
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"difficulty": "easy",
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},
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{
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"name": "IT Security Alert",
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"subject": "Action Required: Unusual sign-in activity on your account",
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"category": "credential_harvest",
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"difficulty": "medium",
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},
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{
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"name": "Payroll Update Request",
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"subject": "Important: Verify your direct deposit information",
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"category": "credential_harvest",
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"difficulty": "medium",
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},
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{
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"name": "Conference Registration",
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"subject": "Your registration for {{.Position}} Summit is confirmed",
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"category": "link_click",
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"difficulty": "hard",
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},
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]
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def analyze_campaign_metrics(summary):
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"""Analyze campaign summary for executive reporting."""
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stats = summary.get("stats", {})
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total = stats.get("total", 1)
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return {
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"total_targets": total,
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"emails_sent": stats.get("sent", 0),
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"emails_opened": stats.get("opened", 0),
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"links_clicked": stats.get("clicked", 0),
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"data_submitted": stats.get("submitted_data", 0),
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"reported": stats.get("email_reported", 0),
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"open_rate_pct": round(stats.get("opened", 0) / max(total, 1) * 100, 1),
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"click_rate_pct": round(stats.get("clicked", 0) / max(total, 1) * 100, 1),
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"submit_rate_pct": round(stats.get("submitted_data", 0) / max(total, 1) * 100, 1),
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}
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def run_simulation(base_url=None, api_key=None, campaign_id=None):
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"""Execute spearphishing simulation analysis."""
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print(f"\n{'='*60}")
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print(f" SPEARPHISHING SIMULATION CAMPAIGN")
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print(f" Generated: {datetime.utcnow().isoformat()} UTC")
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print(f"{'='*60}\n")
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templates = generate_spearphish_templates()
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print(f"--- SPEARPHISH TEMPLATES ({len(templates)}) ---")
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for t in templates:
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print(f" [{t['difficulty'].upper()}] {t['name']}: {t['subject'][:60]}")
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if base_url and api_key:
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client = GoPhishCampaign(base_url, api_key)
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if campaign_id:
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summary = client.get_summary(campaign_id)
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metrics = analyze_campaign_metrics(summary)
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print(f"\n--- CAMPAIGN METRICS ---")
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for k, v in metrics.items():
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print(f" {k}: {v}")
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return {"templates": templates, "metrics": metrics}
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return {"templates": templates}
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def main():
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parser = argparse.ArgumentParser(description="Spearphishing Simulation Agent")
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parser.add_argument("--gophish-url", help="GoPhish server URL")
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parser.add_argument("--api-key", help="GoPhish API key")
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parser.add_argument("--campaign-id", type=int, help="Campaign ID for metrics")
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parser.add_argument("--output", help="Save report to JSON file")
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args = parser.parse_args()
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report = run_simulation(args.gophish_url, args.api_key, args.campaign_id)
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if args.output:
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with open(args.output, "w") as f:
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json.dump(report, f, indent=2, default=str)
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print(f"\n[+] Report saved to {args.output}")
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if __name__ == "__main__":
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main()
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