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{ "domain": "penetration-testing", "subdomain": "phd-level-methodology", "source": "OWASP, PTES, NIST, OSSTMM, HackTheBox, TryHackMe", "level": "PhD", "difficulty": "expert", "task_type": "phd_level_reference" }
{ "PTES": { "phases": [ "pre_engagement", "intelligence_gathering", "threat_modeling", "vulnerability_analysis", "exploitation", "post_exploitation", "reporting" ], "description": "Penetration Testing Execution Standard" }, "OWASP_Testing": { "phases": [ ...
{ "black_box": "No prior knowledge of target", "white_box": "Full knowledge of target including source code", "grey_box": "Partial knowledge of target" }
{ "vulnerability_assessment": "Identify and classify vulnerabilities", "penetration_testing": "Exploit vulnerabilities to determine impact", "red_team": "Simulate real-world adversary with specific objectives", "purple_team": "Collaborative offensive and defensive testing", "bug_bounty": "Crowdsourced vulnera...
{ "network": [ "external", "internal", "wireless", "segmentation" ], "web_application": [ "authentication", "authorization", "input_validation", "session_management", "api_security" ], "mobile_application": [ "android", "ios", "api_backend", "data_storage" ...
{ "reconnaissance": { "passive": [ "whois", "dnsrecon", "amass", "subfinder", "shodan", "censys", "theharvester", "maltego", "recon-ng" ], "active": [ "nmap", "masscan", "zmap", "gobuster", "feroxbuster", "ffuf", ...
{ "sections": [ "executive_summary", "scope", "methodology", "findings", "risk_assessment", "recommendations", "appendices" ], "risk_ratings": [ "critical", "high", "medium", "low", "informational" ], "scoring_systems": [ "cvss", "dread", "owasp_risk...
{ "offensive": [ "OSCP", "OSEP", "OSED", "OSWE", "OSEE", "GPEN", "GXPN", "CEH", "PNPT", "CRTP" ], "defensive": [ "GCIH", "GCIA", "GSEC", "CISSP", "CISM", "CompTIA_Security+" ], "web": [ "OSWE", "GWAPT", "eWPT", "eWPTX" ], "clo...
This dataset contains PhD-level penetration testing methodology covering PTES, OWASP Testing Guide v4.2, NIST SP 800-115, OSSTMM, all testing types (black/white/grey box), engagement types (pentest/red team/purple team/bug bounty), scope areas (network/web/mobile/cloud/social engineering/IoT/AI), comprehensive tool cov...

Cybersecurity AI Knowledge Base β€” PhD-Level Dataset

Overview

This is the most comprehensive cybersecurity knowledge base ever assembled for AI training. It covers all domains of cybersecurity at PhD-level depth β€” from offensive red teaming and bug bounty exploitation to defensive SOC operations, digital forensics, and cutting-edge AI/LLM security.

Size: 16 GB | Files: 507 | Domains: 30+ | Sources: 15+ platforms

Purpose

  • Train the world's most capable cybersecurity AI assistant
  • Cover every domain: offensive, defensive, forensics, compliance, AI security
  • Include real-world attack/defend/detect/analyze methodologies
  • Provide hands-on lab scenarios from HackTheBox, TryHackMe, PortSwigger, VulnHub
  • Reference MITRE ATT&CK, OWASP, NIST, CIS frameworks
  • No restrictions β€” full offensive and defensive coverage for security research

Domains & Coverage

Offensive Security

Domain Files Description
red-team/ 8 Complete red team playbook β€” MITRE ATT&CK (200+ techniques, 400+ sub-techniques), adversary emulation, C2 frameworks, evasion techniques
vapt/ 5 Vulnerability assessment, OWASP Testing Guide v4.2, PTES methodology, NIST SP 800-115
osint/ 3 Reconnaissance, information gathering, Shodan, Censys, Maltego, social media intelligence
social-engineering/ 3 Phishing campaigns, pretexting, physical security, vishing, BEC attacks
offensive-security/ 1 PhD-level offensive security reference β€” all attack phases, MITRE ATT&CK mapping
penetration-testing/ 1 PTES, OWASP, NIST, OSSTMM methodologies, all testing types (black/white/grey box), certifications (OSCP, OSEP, OSWE, GPEN)

Web Security (PortSwigger Academy β€” All 31 Topics)

Domain Files Description
web-security/ 1 PhD-level reference covering all 31 PortSwigger topics: SQL injection (16 labs), XSS (30 labs), CSRF (8 labs), XXE (9 labs), SSRF, HTTP request smuggling (CL.TE, TE.CL, TE.TE, H2 variants, client-side desync), SSTI, insecure deserialization, authentication, OAuth 2.0, access control/IDOR, path traversal, OS command injection, JWT attacks, web cache poisoning, prototype pollution, GraphQL, race conditions, NoSQL injection, API testing, web LLM attacks, web cache deception

Bug Bounty & Vulnerability Disclosure

Domain Files Description
bug-bounty/ 1 HackerOne (600K+ bugs, 210% AI vuln increase in 2025), BugCrowd (7x more critical vulns), all vulnerability categories, program types, industry verticals

Labs & Hands-On Scenarios

Domain Files Description
labs-scenarios/ 1 HackTheBox (1500+ labs), TryHackMe, PortSwigger (100+ labs), VulnHub (12+ pages of VMs), pwn.guide (200+ tutorials), PwnTillDawn β€” all difficulty levels from beginner to expert

Defensive Security & Blue Team

Domain Files Description
blue-team/ 5 SOC operations (Tier 1-3), detection engineering, threat hunting, YARA, Sigma, Snort, Suricata
defensive-security/ 1 PhD-level defensive reference β€” NIST CSF (108 subcategories), MITRE D3FEND (100+ techniques), CIS Controls v8 (153 safeguards)
digital-forensics/ 3 Memory forensics (Volatility), disk forensics (Autopsy), network forensics (Wireshark, Zeek), mobile forensics
cyber-defense/ 3 SOC operations, incident response playbooks, threat detection
compliance/ 3 ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR, FedRAMP, NIST 800-53, CIS Benchmarks

Network & Infrastructure

Domain Files Description
network-security/ 5 Firewalls, IDS/IPS, traffic analysis, network attacks (ARP spoofing, DNS spoofing, DHCP spoofing, SSL stripping), APT detection
cloud-security/ 2 AWS, Azure, GCP security β€” IAM attacks, data exposure, compute attacks, serverless exploitation, Kubernetes compromise
container-security/ 3 Docker, Kubernetes, container escape, image scanning, runtime security

Application Security

Domain Files Description
api-security/ 3 REST, GraphQL, JWT attacks, API testing, OWASP API Security Top 10
blockchain-security/ 4 Smart contracts, DeFi, Web3 security, flash loan attacks, reentrancy
devsecops/ 3 CI/CD security, SAST/DAST, pipeline hardening, Infrastructure as Code

Threat Analysis

Domain Files Description
malware/ 4 Malware analysis, reverse engineering, detection, YARA rules, sandbox analysis
phishing/ 4 Email phishing, spear phishing, whaling, BEC, AI-generated phishing, deepfake attacks
ransomware/ 3 Ransomware families (LockBit, ALPHV, Cl0p), double/triple extortion, RaaS, incident response
botnet-ddos/ 3 Botnet analysis, DDoS mitigation, traffic analysis, Mirai, Mozi

Specialized Domains

Domain Files Description
iot-openthread-security/ 8 Thread protocol (IEEE 802.15.4), OpenThread architecture, Matter protocol, mesh networking attacks/defense, commissioning exploitation, border router attacks, cryptographic key management, forensics, red team playbook, security testing lab
ai-ml-security/ 4 Adversarial ML, model security, data poisoning, OWASP LLM Top 10, OWASP ML Top 10, MITRE ATLAS (50+ techniques)
ai-security/ 1 PhD-level AI security β€” prompt injection, training data poisoning, model extraction, web LLM attacks
mobile-security/ 3 Android/iOS security, mobile app testing, reverse engineering
identity-access-management/ 3 IAM, RBAC, SSO, PAM, Active Directory attacks
supply-chain-security/ 3 Dependency scanning, SBOM, CI/CD security, software supply chain attacks
cryptography/ 5 Encryption algorithms, key management, TLS/SSL, cryptographic attacks, post-quantum crypto
reverse-engineering/ 3 Binary analysis, firmware RE, malware RE, IDA Pro, Ghidra
security-code/ 2 Secure coding practices, code review, vulnerability patterns
cybersecurity-knowledge-expansion/ 20 Cross-domain knowledge expansion datasets
security-research/ 1 PhD-level research β€” PortSwigger Research (James Kettle, Gareth Heyes), SANS 2026 white papers, novel attack techniques

Data Formats

ShareGPT Format

{
  "conversations": [
    {"from": "system", "value": "You are a cybersecurity expert..."},
    {"from": "human", "value": "How do I exploit SQL injection?"},
    {"from": "gpt", "value": "## SQL Injection Exploitation..."}
  ]
}

Instruction/IO Format

{
  "Instruction": "Explain SSRF attack techniques",
  "Input": "Web application with internal API access",
  "Output": "## SSRF Attack Techniques...",
  "Metadata": {
    "domain": "web-security",
    "attack_types": ["ssrf", "blacklist_bypass", "whitelist_bypass"],
    "defense_types": ["input_validation", "network_segmentation"],
    "tools": ["burpsuite", "curl", "ssrfmap"]
  }
}

PhD-Level Reference Format

{
  "metadata": {
    "domain": "web-security",
    "subdomain": "phd-level-comprehensive",
    "source": "PortSwigger Web Security Academy",
    "level": "PhD",
    "difficulty": "expert",
    "task_type": "phd_level_reference"
  }
}

Record Structure

Each record includes a combination of:

  • Attack Vectors β€” How to perform attacks step-by-step
  • Defense Strategies β€” How to prevent and detect attacks
  • Detection Methods β€” YARA rules, Sigma rules, Snort/Suricata rules, KQL queries
  • Forensic Analysis β€” How to investigate after an incident
  • Tools & Techniques β€” Specific tools with commands and examples
  • Real-World Scenarios β€” Based on actual CVEs, breaches, and CTF challenges
  • Remediation β€” How to fix vulnerabilities
  • References β€” Links to frameworks, standards, and research

Sources & Platforms

Vulnerability Intelligence

  • NVD (National Vulnerability Database)
  • MITRE ATT&CK Framework (200+ techniques, 400+ sub-techniques)
  • CISA Known Exploited Vulnerabilities
  • OSV (Open Source Vulnerabilities)
  • GitHub Advisory Database

Offensive Security Platforms

  • HackTheBox β€” 1500+ hands-on labs, red/blue/purple team tracks
  • TryHackMe β€” Learning paths, rooms, challenges
  • PortSwigger Web Security Academy β€” 31 topics, 100+ labs
  • VulnHub β€” 12+ pages of vulnerable VMs
  • pwn.guide β€” 200+ tutorials (web, wireless, hardware, blue team)
  • PwnTillDawn β€” Online battlefield

Bug Bounty Platforms

  • HackerOne β€” 600K+ bugs found, 210% AI vulnerability increase in 2025
  • BugCrowd β€” Bug bounty, VDP, pentest as a service, red team as a service

Security Research

  • PortSwigger Research β€” James Kettle, Gareth Heyes, Zakhar Fedotkin
  • SANS Institute β€” 2026 white papers on AI security, threat intelligence, Kubernetes
  • OWASP β€” Top 10 2021, API Security Top 10, LLM Top 10, ML Top 10

Frameworks & Standards

  • NIST Cybersecurity Framework (108 subcategories)
  • MITRE D3FEND (100+ defensive techniques)
  • MITRE ATLAS (50+ AI/ML attack techniques)
  • CIS Controls v8 (153 safeguards)
  • ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR, FedRAMP

IoT & Embedded Security

  • OpenThread (openthread.io) β€” Thread protocol implementation
  • Thread Group β€” Thread specification, Matter protocol
  • IEEE 802.15.4 β€” Low-power wireless mesh networking

Statistics

Metric Value
Total Files 507
Total Size ~95 GB
Domain Folders 30+
Valid JSON Files 394
Sources/Platforms 15+
MITRE ATT&CK Techniques 200+
PortSwigger Topics 31
HackTheBox Labs 1500+
HackerOne Bugs Referenced 600K+
OWASP Top 10 Versions 4 (Web, API, LLM, ML)

Usage

This dataset is designed for:

  1. Fine-tuning cybersecurity AI models β€” LLMs for security assistance
  2. Training security professionals β€” Red team, blue team, purple team
  3. Building security automation tools β€” SOAR, SIEM, detection engineering
  4. Security education and research β€” University courses, certifications
  5. Red/blue team exercises β€” Tabletop exercises, live-fire simulations
  6. Bug bounty preparation β€” HackerOne, BugCrowd methodology
  7. Certification study β€” OSCP, OSEP, OSWE, GPEN, CISSP, CEH
  8. Compliance preparation β€” ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR

License

Apache 2.0


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