Security Research Library

Evidence-bounded analysis of a 111-publication corpus with a 103-publication primary denominator, 31 visualizations, an interactive dashboard, reproducible normalized data, and a searchable 108-source reference index.

A structured, 10-module CTI course with 69 defined terms — the intelligence cycle, ATT&CK, the Diamond Model, tradecraft, actor tracking, and how CTI feeds detection engineering — each linked to AdversaryGraph and Threat Matrix where relevant.

AdversaryGraph workflow: synthetic firewall and EDR logs, AI log analysis, IOC extraction, Tier 1/Tier 2/Tier 3 enrichment, relationship graph review, Investigation workspace evidence, ATT&CK leads, and AI-assisted report generation.

Official v4 guide for the Malware Analysis module: controlled sample intake, hash/feed checks, static triage, string and IOC/TTP extraction, unpacking, decompilation/debug IDE, AI summaries, clickable pivots, and gated dynamic workflow categories.

Version-specific local mirror of the AdversaryGraph v4 article, retained for historical context. It is not current v6 documentation; use the linked platform documentation for current behavior.

Version-controlled CTI methodology: reactive and proactive investigation workflows, evidence-traced claims, ATT&CK gap classification, and Sigma rule derivation from incident TTPs.

Worked case study: AiTM credential theft, DCSync, 381 MB pharmaceutical IP exfiltration, 0/12 detection coverage. Full VS Code investigation walkthrough with real RBQL queries and Cobalt Strike sandbox analysis.

Full tradecraft reference: evidence labeling, source reliability, confidence tiering, attribution methodology, infrastructure pivoting, detection candidate mapping.

Applying kill chain analysis to real adversary behavior; evidence labeling at each stage with worked examples.

End-to-end workflow: actor assessment → TTP extraction → detection candidate → hunting hypothesis → backlog item.

Structured analytic judgment: words of estimative probability, source critique, and bias mitigation in CTI production.

Moving beyond the matrix: technique selection, sub-technique context, Navigator usage, and detection hypothesis construction.

Tool-to-technique mapping reference: which adversary tools map to which ATT&CK techniques and why.

Scoping, collection, analysis, delivery, and feedback loop for a structured client-facing CTI engagement.

Local ecosystem page for the Medium article: telemetry-first detection engineering, detection-as-code validation, stateful correlation, risk scoring, identity/session abuse, cloud/SaaS data-plane coverage, CI/CD security, eBPF runtime telemetry, OCSF/data-lake content, and LLM/agent workflow detection.

Alert triage, escalation criteria, SIEM query patterns, and analyst workflow for Tier 1 analysts.

Behavioral detection: data staging, exfiltration patterns, access anomaly queries, and Sigma rule construction.

Evidence-first extraction, categorization, decoding, cross-references, IOC provenance, defender outputs, and AIDebug String Intelligence.

Scan types, timing templates, OS detection, and output formats.

Banner grabbing, version detection flags, and service fingerprinting.

Fragmentation, decoy scans, timing evasion, and source routing.

NSE categories, writing scripts, vuln detection, and automation.

Shodan search operators, filters, API usage, and OSINT pivoting from exposed services.

OSINT automation: module configuration, scan profiles, and result analysis.

Subdomain enumeration, ASN mapping, and infrastructure graphing with Amass.

PCAP-based hunting: protocol anomalies, C2 traffic patterns, beaconing detection, and display filters.

Spider, active scan, passive scan, authentication handling, and report generation.

Intercepting proxies, intruder brute-force, repeater, and login form attacking.

Tamper scripts, WAF bypass, blind injection techniques, and database enumeration.

Protocol modules (SSH, FTP, HTTP, SMB), wordlist selection, rate limiting, and success detection.

Hash identification, wordlist + rule attacks, incremental mode, and format specification.

Target-aware wordlist generation using personal data, leet transforms, and pattern rules. Open-source PPG tool.

RDP brute-force with Crowbar: target specification, threading, and credential handling.

SSH login scanner module, wordlist configuration, and session handling.

hashcat + John workflows for DOC/DOCX/PPT/XLSX with real samples.

PDF hash extraction (pdf2john) and cracking with rule-based attacks.

zip2john, hashcat modes, and practical wordlist strategies for encrypted archives.

IP camera stream brute-forcing with the RTSP-brute-force tool.

Architecture, db_nmap integration, workspace management, and module selection fundamentals.

Scanner, sniffer, and fuzzer auxiliaries: configuration, RHOSTS, THREADS, and output handling.

Exploit + payload selection, target configuration, check command, and post-exploitation.

AI-assisted recon and exploitation walkthrough against a Metasploitable lab.

Autonomous PT with Cursor AI + MCP servers: recon → exploitation → reporting workflow.

Prompt injection, indirect injection, goal hijacking, and exfiltration techniques against real LLM agent architectures.

Complete evidence-first workflow covering file identification, PE and ELF triage, functions, control flow, String Intelligence, Ghidra, optional AI review, controlled debugging, history, and reports.

Headers, sections, RVA mapping, imports, exports, resources, relocations, TLS, mitigations, signatures, .NET metadata, and AIDebug evidence.

Registers, memory, flags, calling conventions, control-flow recovery, Windows API behavior, and real AIDebug exercises.

Two-VM lab architecture, VMware isolation, FLARE-VM deployment, REMnux networking, INetSim services, snapshots, and readiness validation.

LIEF-based import triage, risk classification workflow, and JSON output integration.

Binary string extraction, IOC identification, entropy filtering, and structured output.

Packer identification with DIE, unpac.me integration, and de4dot deobfuscation workflow.

APK static analysis: manifest review, permission analysis, DEX inspection, and IOC extraction.

Full APK assessment workflow: static triage → dynamic analysis → YARA → ATT&CK mapping → report.

GCP attack path: service account privilege escalation, metadata server abuse, and CloudTrail detection.

End-to-end cloud PT on the vulnerable-cloud-lab: initial access → lateral movement → exfil.

Log collection, audit policy, Fluent Bit pipelines, and detection rule integration for K8s.

NTLM relay to ADCS, ESC8 exploitation, certificate request, and Pass-the-Certificate.

Step-by-step AD domain setup with GPO misconfigurations, Kerberoasting targets, and AS-REP roasting.

CVSS-BTE scoring, environmental modifier impact, CISA KEV integration, and prioritization workflow.

A 14-module practitioner path spanning AI threat modeling, training and retrieval data, model supply chains, prompt injection, privacy, agents and MCP, identity, infrastructure, adversarial testing, detection, incident response, governance, and secure production delivery.

Applied architecture for source-linked intelligence retrieval, vector search, MCP tools, provider policy, analyst review, and evidence-preserving AI assistance.

Authorized offensive workflows, prompt and tool abuse, local-model use, human review, and reproducible laboratory evidence.

MCP-connected security testing, tool orchestration boundaries, controlled execution, and practical validation in authorized environments.