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Advanced Threat Hunting & Pentest Engineering for Offensive Practitioners

$199.00
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A tailored course, built for your situation

Advanced Threat Hunting & Pentest Engineering for Offensive Practitioners

Turn deep technical mastery into repeatable, scalable security operations

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Brilliant individual findings don’t scale , unless they’re engineered into systems

The situation this course is for

Skilled hunters often work in high-intensity bursts, solving complex problems manually. But without structured documentation, tooling integration, and repeatable workflows, their impact stays isolated. The gap isn’t skill , it’s engineering rigor. Organizations struggle to capture tribal knowledge, leading to duplicated effort, inconsistent reporting, and missed opportunities to harden environments proactively. The most capable practitioners are now expected to do more than find flaws , they must design the systems that make exploitation insights actionable across teams.

Who this is for

Offensive security specialists with deep reverse engineering or exploit development experience who want to transition from ad-hoc discoveries to engineered, scalable operations

Who this is not for

Entry-level pentesters, compliance auditors, or professionals focused solely on defensive SOC workflows

What you walk away with

  • Structure raw technical findings into standardized, reusable playbooks
  • Integrate reverse engineering workflows with offensive automation tools
  • Design internal threat hunting frameworks that scale across assets
  • Produce actionable intelligence that informs both red team and blue team operations
  • Operationalize tools like Radare into team-wide capabilities

The 12 modules (with all 144 chapters)

Module 1. From Discovery to Engineering
Shift mindset from one-off exploits to engineered security systems. Learn how top practitioners document, generalize, and operationalize findings. Establish the core principles of pentest engineering: repeatability, traceability, and integration. Use real-world examples from public write-ups to reverse-engineer effective frameworks. Build your first scalable hunting pattern using structured observation templates.
12 chapters in this module
  1. Define pentest engineering
  2. Map discovery to documentation
  3. Identify repeatable patterns
  4. Structure raw findings
  5. Build observation templates
  6. Normalize exploit data
  7. Create feedback loops
  8. Version control for ops
  9. Tagging findings systematically
  10. Prioritize generalizable work
  11. Integrate tool outputs
  12. Design modular workflows
Module 2. Radare & Low-Level Analysis Integration
Transform Radare usage from exploratory analysis to integrated component of automated hunting pipelines. Configure Radare for batch processing, script extraction routines, and export structured data. Connect disassembly insights to higher-level frameworks. Use annotations and metadata to make reverse engineering outputs actionable across teams. Automate identification of key functions, strings, and control flow patterns for faster triage.
12 chapters in this module
  1. Automate Radare workflows
  2. Script binary analysis
  3. Extract function maps
  4. Tag suspicious strings
  5. Export control flow graphs
  6. Integrate with YARA
  7. Parse PE structures
  8. Log analysis sessions
  9. Cross-reference symbols
  10. Generate JSON reports
  11. Chain with Cuckoo
  12. Build signature libraries
Module 3. Threat Hunting Playbook Design
Develop comprehensive playbooks that turn intuition into institutional knowledge. Define hunting hypotheses, data sources, validation steps, and escalation paths. Use ATT&CK mapping to ensure coverage. Incorporate false positive mitigation and confidence scoring. Structure playbooks for both manual execution and partial automation. Learn how to version, test, and improve them over time based on operational feedback.
12 chapters in this module
  1. Formulate hunting hypothesis
  2. List required data sources
  3. Map to MITRE ATT&CK
  4. Define detection logic
  5. Set validation rules
  6. Score confidence levels
  7. Include false positive filters
  8. Design escalation triggers
  9. Document tool dependencies
  10. Version playbook updates
  11. Test against past incidents
  12. Archive deprecated versions
Module 4. Operationalizing Reverse Engineering
Bridge the gap between deep technical analysis and team-wide impact. Turn binary investigations into actionable intelligence. Standardize reporting formats, integrate with ticketing and collaboration tools, and create knowledge bases that preserve insights. Automate extraction of IOCs and TTPs. Build internal libraries of known malware behaviors to accelerate future investigations.
12 chapters in this module
  1. Standardize RE reports
  2. Extract IOCs automatically
  3. Classify malware families
  4. Map TTPs to ATT&CK
  5. Populate internal DB
  6. Link to threat intel
  7. Generate summary briefs
  8. Notify response teams
  9. Archive samples securely
  10. Cross-reference campaigns
  11. Update detection rules
  12. Share with blue team
Module 5. Custom Tooling for Offensive Automation
Design and deploy lightweight tools that extend existing frameworks. Build purpose-built scripts for reconnaissance, payload generation, and post-exploitation data collection. Apply software engineering practices: testing, modularity, error handling. Package tools for team distribution. Integrate with Cobalt Strike, Metasploit, or custom C2s. Maintain stealth while increasing operational velocity.
12 chapters in this module
  1. Identify automation needs
  2. Choose scripting language
  3. Design modular functions
  4. Handle errors gracefully
  5. Test in isolated lab
  6. Obfuscate payloads
  7. Log execution safely
  8. Minimize network footprint
  9. Integrate with C2
  10. Package for deployment
  11. Update remotely
  12. Monitor tool integrity
Module 6. Scalable Intelligence Collection
Develop systematic approaches to gathering, validating, and using threat intelligence. Combine open-source, commercial, and internal data. Filter noise and prioritize relevance. Automate ingestion and correlation. Use intelligence to shape hunting hypotheses and red team scenarios. Ensure compliance with privacy standards while maintaining effectiveness.
12 chapters in this module
  1. Source OSINT feeds
  2. Validate IOC accuracy
  3. Filter irrelevant data
  4. Correlate across sources
  5. Enrich with context
  6. Assess credibility
  7. Map to infrastructure
  8. Track adversary shifts
  9. Update playbooks dynamically
  10. Automate delivery
  11. Classify sensitivity levels
  12. Maintain audit logs
Module 7. Hunting Across Cloud Environments
Adapt threat hunting techniques for AWS, Azure, and GCP. Understand cloud-specific attack paths and logging limitations. Use native APIs and CLI tools to detect misconfigurations, credential misuse, and lateral movement. Build queries for CloudTrail, Azure Monitor, and Stackdriver. Develop cloud-focused playbooks that account for elasticity and automation.
12 chapters in this module
  1. Map cloud attack surface
  2. Audit IAM policies
  3. Detect credential sprawl
  4. Monitor API calls
  5. Identify public buckets
  6. Track resource creation
  7. Detect VM impersonation
  8. Analyze VPC flows
  9. Hunt for shadow admins
  10. Spot container escapes
  11. Trace cross-account access
  12. Log cloud events centrally
Module 8. Pentest Reporting That Drives Action
Move beyond PDFs with flashy titles to reports that drive measurable change. Structure findings by business impact, not just technical severity. Include remediation guidance, code samples, and verification steps. Use executive summaries to engage leadership. Automate report generation while preserving nuance. Ensure legal and compliance requirements are met.
12 chapters in this module
  1. Prioritize by business risk
  2. Write clear executive summary
  3. Include exploit proof
  4. Add remediation steps
  5. Provide code examples
  6. Verify fix feasibility
  7. Use consistent scoring
  8. Avoid jargon overload
  9. Embed visual timelines
  10. Generate multiple formats
  11. Archive report versions
  12. Gather client feedback
Module 9. Building Red Team Infrastructure
Design and deploy secure, resilient, and evasive red team infrastructure. Set up C2 servers, redirectors, and payload delivery mechanisms. Harden systems against detection. Use domain fronting, fast flux, and TLS inspection evasion. Automate infrastructure provisioning and rotation. Implement monitoring and alerting for operator safety.
12 chapters in this module
  1. Choose hosting providers
  2. Register domains discreetly
  3. Set up redirectors
  4. Configure C2 framework
  5. Encrypt communications
  6. Rotate IPs regularly
  7. Use domain fronting
  8. Deploy canary tokens
  9. Monitor for takedowns
  10. Log operator activity
  11. Isolate test environments
  12. Plan failover systems
Module 10. Collaboration Between Red and Blue
Break down silos between offensive and defensive teams. Share insights in structured, non-attributed ways. Use red team findings to improve detection logic and response playbooks. Establish feedback loops that turn attacks into defenses. Build joint exercises and metrics that reflect organizational resilience rather than individual performance.
12 chapters in this module
  1. Share findings securely
  2. Anonymize attack data
  3. Update SIEM rules
  4. Improve EDR detection
  5. Conduct joint tabletops
  6. Measure detection gaps
  7. Track mean time to detect
  8. Align on severity
  9. Host purple team days
  10. Document lessons learned
  11. Create shared dashboards
  12. Review incident responses
Module 11. Metrics That Matter for Offensive Work
Define and track meaningful metrics that reflect operational impact. Move beyond bug counts to measure coverage, innovation, and influence. Track time-to-detect, detection gap closure, and playbook effectiveness. Use data to justify resource allocation and demonstrate value to leadership. Avoid vanity metrics that distort priorities.
12 chapters in this module
  1. Measure attack coverage
  2. Track detection gaps
  3. Calculate mean time to detect
  4. Count playbook uses
  5. Rate finding severity
  6. Log tool effectiveness
  7. Assess team adoption
  8. Review false positives
  9. Benchmark over time
  10. Compare to industry
  11. Report remediation rate
  12. Avoid bug count traps
Module 12. Sustaining Operational Edge
Maintain long-term effectiveness in a rapidly evolving landscape. Build personal and team learning rhythms. Curate research sources, experiment with new tools, and contribute to the community. Manage operational security across personal and team activities. Balance public visibility with security. Plan career growth that aligns with technical passion and organizational needs.
12 chapters in this module
  1. Schedule research time
  2. Follow key researchers
  3. Test new tools weekly
  4. Contribute to OSS
  5. Write technical posts
  6. Present at meetups
  7. Protect real identity
  8. Secure personal devices
  9. Limit public exposure
  10. Plan skill progression
  11. Seek mentorship
  12. Review opsec quarterly

How this maps to your situation

  • Transitioning from solo hunter to team enabler
  • Scaling deep technical skills across environments
  • Operationalizing niche tools like Radare for broader use
  • Turning ad-hoc findings into institutional knowledge

Before vs. after

Before
Brilliant insights remain isolated, undocumented, or difficult to reproduce , limiting impact beyond individual wins.
After
Every discovery becomes a building block in a scalable, team-wide offensive security system , multiplying influence and effectiveness.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 60-75 hours total, designed for self-paced completion over 8-12 weeks with practical application between modules.

If nothing changes
Without structured engineering of findings, even elite technical skills risk becoming tactical exceptions rather than strategic assets. The gap between discovery and institutionalization will widen, leading to duplicated effort, missed detection opportunities, and reduced career leverage as organizations demand scalable security practices.

How this compares to the alternatives

Unlike generic pentesting courses focused on tool usage or certification prep, this program is built for practitioners who already excel technically but need to scale their impact. It emphasizes engineering discipline over checklist tactics, with real-world templates and systems used by elite offensive teams , not just theory or exam-focused content.

Frequently asked

Who is this course designed for?
Offensive security practitioners with hands-on experience in threat hunting, reverse engineering, or pentesting who want to make their work more systematic, scalable, and impactful across teams.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is coding required?
Some chapters involve scripting and automation, but templates and examples are provided to support implementation regardless of current coding fluency.
$199 one-time. Approximately 60-75 hours total, designed for self-paced completion over 8-12 weeks with practical application between modules..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
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