Leviathan Framework (Public-Safe Overview)

A modular, extensible security automation and intelligent analysis framework. It orchestrates multi-phase software and binary analysis: discovery, detection, fuzzing, ML-assisted pattern evolution, exploitation pipeline simulation, validation, and structured reporting. It emphasizes adaptive intelligence (pattern evolution + ML inference), and production-grade orchestration primitives (async IO, caching, connection pooling, distributed runners).

Key Capabilities (Public-Safe Summary)

• Modular pipeline: Discovery → Detection → Coverage & Fuzzing → Analysis → (Simulated) Exploitation → Reporting & Validation.
• Adaptive ML integration for pattern evolution and zero-day hypothesis generation (pluggable models).
• Differential & edge-guided fuzzing with semantic eBPF modeling hooks.
• Structured orchestration: async execution, caching, connection pools, model lifecycle management.
• Advanced analysis: race condition scanning, speculative execution surfaces, post-quantum considerations (conceptual analyzers).
• Extensible CLI for automation, research, deployment, dashboards, and server/control routines.
• Clean extension points for adding:
  • New detection engines
  • Fuzzing strategies
  • Coverage heuristics
  • ML inference providers
  • Exploit simulation modules
  • Reporting backends

Preject TBR Mid-September 2025