$ ssh knowledge@th1b4ut.com> connected — encrypted — briefing_node_01> clearance: public — field notes declassified> $ ls /briefings/ --summary> > Всего брифингов: 7> Категории: OSINT / DATA-INTEL / BREACH-ANALYSIS / LLM-OPS / AGENT-SWARM> Обновлено: 2026-05-17> $ cat /etc/motd> "Разведка бесплатна. Исполнение — нет."> $ _$ search --archive
$ query:Категория:Год:Время чтения:$ results --preview
найдено: 7 briefings
- [1] Construire un pipeline d'enrichissement data-intel fiable
- [2] Déployer une stack d'inférence locale pour modèles non-censurés
- [3] Cartographier des assets OSINT en 60 minutes chrono
- [4] Vérifier une fuite de données sans payer de rançon
- [5] Scraping Dark Web Markets for Leaked Corporate: A Runbook
- [6] Publish Scraped Data, Trigger Four French Legal Regimes
- [7] Multi-Agent Orchestration Patterns: The Hermes Example
ИЗБРАННОЕ
$ echo '{"entity":"acme.corp","source":"shodan"}' | jq -c '. + {ts: now, confidence: 0.87}'
> {"entity":"acme.corp","source":"shodan","ts":1715900000,"confidence":0.87}
$ echo '{"entity":"acme.corp","source":"shodan"}' | jq -c '. + {ts: now, confidence: 0.87}'
> {"entity":"acme.corp","source":"shodan","ts":1715900000,"confidence":0.87}
$ llama-server -hf unsloth/Qwen3.6-27B-GGUF:UD-Q4_K_XL --temp 0.6 --top-p 0.95 --chat-template-kwargs '{"enable_thinking":false}' --port 8001
> [INF] server listening on http://127.0.0.1:8001 — Qwen3.6-27B loaded (18.2GB VRAM)
$ amass enum -passive -d target.com | tee subs.txt | xargs -P20 -I{} shodan host {} --fields ip,port,org 2>/dev/null
> 47 subdomains — 23 unique IPs — 8 services exposés
$ echo -n "user@target.com" | sha256sum | cut -c1-8 | xargs -I{} curl -s "https://api.pwnedpasswords.com/range/{}"
> A1B2C3:142 D4E5F6:89 ... (matching hash found: 142 occurrences)
$ torsocks curl -s -X POST http://xxxxxxxxxxxx.onion/api/query -d 'domain=example.com' | jq '.[] | .breach' | sort | uniq -c
> 3 Collection1 2025, 1 Combolist 2024
$ curl -s -H 'User-Agent: Th1b4utIntel/1.0' https://legal.univ-lyon3.fr/cnil-sancs-2025.json | jq '.[] | select(.offense_type=="secondary_publication") | length'
> 47
$ python -m agent_crew --task leak_analysis --agents hermes,analyst,scraper
> Crew completed: 4 findings, 3.2s latency, $0.014 cost
$ subscribe --feed
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