lyrie-omega 1.0.6

Omega-Suite — Lyrie.ai's autonomous binary analysis and exploit research engine

Lyrie OMEGA — Autonomous Security Intelligence Platform

Lyrie.ai | OTT Cybersecurity LLC
Proprietary & Confidential — All Rights Reserved

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Overview

Lyrie OMEGA is the autonomous offensive/defensive security research core of the Lyrie.ai platform. It powers the HEX Scanner, Lyrie Intel, and the full exploit feasibility pipeline — delivering world-class binary analysis, forensic investigation, and vulnerability validation capabilities.

This suite is a proprietary Lyrie.ai product. All components are developed and owned by OTT Cybersecurity LLC / Lyrie.ai.

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Components

Agent Fleet + Expert Personas

17 agents → agents/

Agent	Purpose	Lyrie Product
crash-analysis-agent	Orchestrates full C/C++ crash triage	Lyrie HEX Scanner
crash-analyzer-agent	Deep root-cause analysis with rr	Lyrie HEX Scanner
crash-analyzer-checker-agent	Validates crash analyses rigorously	Lyrie HEX Scanner
coverage-analysis-generator-agent	gcov coverage data generation	Lyrie HEX Scanner
function-trace-generator-agent	Function execution tracing	Lyrie HEX Scanner
exploitability-validator-agent	Multi-stage exploitability pipeline	Lyrie Core Engine
offsec-specialist	Offensive security operations agent	Lyrie OMEGA
oss-evidence-verifier-agent	Forensic evidence verification	Lyrie Intel
oss-hypothesis-checker-agent	Hypothesis validation	Lyrie Intel
oss-hypothesis-former-agent	Evidence-backed hypothesis formation	Lyrie Intel
oss-investigator-gh-archive-agent	GH Archive BigQuery forensics	Lyrie Intel
oss-investigator-github-agent	GitHub API + commit recovery	Lyrie Intel
oss-investigator-ioc-extractor-agent	IOC extraction from vendor reports	Lyrie Intel
oss-investigator-local-git-agent	Local git repository forensics	Lyrie Intel
oss-investigator-wayback-agent	Wayback Machine content recovery	Lyrie Intel
oss-report-generator-agent	Final forensic report generation	Lyrie Intel

10 expert personas → personas/

Persona	Use Case
security_researcher	Deep vulnerability validation
exploit_developer	Working PoC generation
crash_analyst	Binary crash + exploitability analysis
patch_engineer	Production-ready secure patches
penetration_tester	Web payload generation
fuzzing_strategist	AFL++ strategy optimization
binary_exploitation_specialist	Binary exploit code generation
codeql_analyst	CodeQL dataflow path validation
codeql_finding_analyst	CodeQL finding exploitability assessment
offensive_security_researcher	Mitigation bypass feasibility

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Exploit Feasibility Engine

50+ files → packages/

Component	Files	Purpose
packages/exploit_feasibility/	36	Binary mitigation analysis, exploitation path scoring
packages/exploitability_validation/	12	Multi-stage validation pipeline (Stages 0-E)
packages/cvss/	4	CVSS scoring utilities
core/smt_solver/	8	SMT-based constraint solving (z3) for one-gadget feasibility

Key API:

from packages.exploit_feasibility import analyze_binary, format_analysis_summary
result = analyze_binary('/path/to/binary')
print(format_analysis_summary(result, verbose=True))

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Lyrie Intel — OSS Forensics

40+ files → skills/lyrie-intel/

Lyrie Intel is Lyrie's autonomous forensic investigation engine.

Component	Purpose
skills/lyrie-intel/github-archive/	GH Archive BigQuery skill
skills/lyrie-intel/github-evidence-kit/	Evidence collection, storage, and verification
skills/lyrie-intel/github-commit-recovery/	Recover "deleted" git commits
skills/lyrie-intel/github-wayback-recovery/	Recover content from Wayback Machine
skills/lyrie-intel/orchestration/	Multi-agent orchestration skill
commands/oss-forensics.md	Command definition for lyrie-intel command

Invocation: /lyrie-intel <research-question> [--max-followups 3]

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Lyrie HEX Scanner Enhancement

60+ files → skills/code-understanding/, packages/static-analysis/, packages/codeql/, engine/

Component	Files	Purpose
skills/code-understanding/	5 skills	Code comprehension and attack surface mapping
packages/static-analysis/	3	Semgrep integration
packages/codeql/	16	CodeQL database management + analysis
engine/semgrep/	30+	Semgrep rules (crypto, injection, secrets, auth)
engine/codeql/	1	CodeQL suite definitions

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Quick Start

1. Install dependencies

pip3 install -r requirements.txt

2. Set environment variable

export LYRIE_DIR=/path/to/lyrie-omega-suite

3. Run exploit feasibility analysis

import sys, os
sys.path.insert(0, os.environ["LYRIE_DIR"])

from packages.exploit_feasibility import analyze_binary, format_analysis_summary

result = analyze_binary('/path/to/binary')
print(format_analysis_summary(result, verbose=True))

4. Use Lyrie Intel for forensics

/lyrie-intel "Investigate suspicious commits in owner/repo between July 10-15 2025"

5. Run code understanding

/understand /path/to/target --map
/understand /path/to/target --trace main
/understand /path/to/target --hunt "unsanitized user input"

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Architecture

lyrie-omega-suite/
├── OMEGA-BRAIN.md          ← System prompt for Lyrie OMEGA autonomous mode
├── README.md               ← This file
├── ARCHITECTURE.md         ← Detailed component architecture
├── requirements.txt        ← Python dependencies
├── agents/                 ← 17 Lyrie OMEGA agents
│   ├── crash-analysis-agent.md
│   ├── exploitability-validator-agent.md
│   ├── offsec-specialist.md
│   └── oss-*/...
├── personas/               ← 10 expert personas
│   ├── security_researcher.md
│   ├── exploit_developer.md
│   └── ...
├── packages/               ← Python analysis packages
│   ├── exploit_feasibility/
│   ├── exploitability_validation/
│   ├── cvss/
│   ├── static-analysis/
│   └── codeql/
├── core/
│   └── smt_solver/         ← SMT constraint solving
├── skills/
│   ├── lyrie-intel/        ← OSS Forensics (Lyrie Intel)
│   └── code-understanding/ ← Code comprehension skills
├── commands/
│   └── oss-forensics.md    ← Lyrie Intel command
└── engine/
    ├── semgrep/            ← Semgrep rules + SARIF tools
    └── codeql/             ← CodeQL suites

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License

Copyright 2026 OTT Cybersecurity LLC / Lyrie.ai. All rights reserved.
Proprietary and confidential. Unauthorized use, reproduction, or distribution is strictly prohibited.