metadata dict | methodologies dict | testing_types dict | engagement_types dict | scope_areas dict | tools_by_phase dict | reporting dict | certifications dict | note stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
{
"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:
- Fine-tuning cybersecurity AI models β LLMs for security assistance
- Training security professionals β Red team, blue team, purple team
- Building security automation tools β SOAR, SIEM, detection engineering
- Security education and research β University courses, certifications
- Red/blue team exercises β Tabletop exercises, live-fire simulations
- Bug bounty preparation β HackerOne, BugCrowd methodology
- Certification study β OSCP, OSEP, OSWE, GPEN, CISSP, CEH
- Compliance preparation β ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR
License
Apache 2.0
Links
- HuggingFace: https://huggingface.co/datasets/Vyber07/cyber-security
- GitHub: https://github.com/Vyber07/
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