---

Upload firmware images, unpack them, explore the filesystem, analyze binaries, and conduct security assessments — all powered by AI analysis via Model Context Protocol (MCP).

Connect any MCP-compatible AI agent to Wairz's 60+ analysis tools — Claude Code, Claude Desktop, OpenCode, Codex, Cursor, VS Code + Copilot, Gemini CLI, Windsurf, and more.

Watch the demo video

Features

• Firmware Unpacking — Automatic extraction of SquashFS, JFFS2, UBIFS, CramFS, ext, and CPIO filesystems via binwalk, with multi-partition support
• File Explorer — Browse extracted filesystems with a virtual tree, view text/binary/hex content, and search across files
• Binary Analysis — Disassemble and decompile binaries using radare2 and Ghidra headless, with cross-reference and taint analysis
• Component Map — Interactive dependency graph showing binaries, libraries, scripts, and their relationships
• Security Assessment — Detect hardcoded credentials, crypto material, setuid binaries, insecure configs, and weak permissions
• SBOM & CVE Scanning — Generate Software Bill of Materials (CycloneDX) and scan components against the NVD for known vulnerabilities
• Firmware Emulation — Boot firmware in QEMU (user-mode for single binaries, system-mode for full OS) in isolated containers, with GDB support
• Fuzzing — AFL++ with QEMU mode for cross-architecture binary fuzzing, with automatic dictionary/corpus generation and crash triage
• Firmware Comparison — Diff filesystem trees, binaries, and decompiled functions across firmware versions
• Live Device UART — Connect to physical devices via a host-side serial bridge for interactive console access
• AI Analysis via MCP — 60+ analysis tools exposed to Claude for autonomous security research
• Findings & Reports — Record security findings with severity ratings and evidence, export as Markdown or PDF

Architecture

Claude Code / Claude Desktop / OpenCode
        │
        │ MCP (stdio)
        ▼
┌─────────────────┐     ┌──────────────────────────────────┐
│   wairz-mcp     │────▶│         FastAPI Backend           │
│  (MCP server)   │     │                                    │
│  60+ tools      │     │  Services: firmware, analysis,     │
│                 │     │  emulation, fuzzing, sbom, uart    │
└─────────────────┘     │                                    │
                        │  Ghidra headless · QEMU · AFL++    │
                        └──────────┬───────────────────────┘
                                   │
┌──────────────┐    ┌──────────────┼──────────────┐
│   React SPA  │───▶│  PostgreSQL  │  Redis       │
│  (Frontend)  │    │              │              │
└──────────────┘    └──────────────┴──────────────┘

Optional:
  wairz-uart-bridge.py (host) ←─ TCP:9999 ─→ Docker backend

Prerequisites

• Docker and Docker Compose
• uv (for local development only)

Public Beta

WAIRZ is currently in public beta. You may encounter bugs or rough edges. If you run into any issues, please open an issue on GitHub or reach out at andrew@digitalandrew.io.

WAIRZ is currently designed for embedded Linux firmware samples. Support for RTOS and bare-metal firmware is planned for future releases.

Quick Start

Docker (recommended)

git clone https://github.com/digitalandrew/wairz.git
cd wairz
cp .env.example .env
docker compose up --build

• Frontend: http://localhost:3000
• API docs: http://localhost:8000/docs

Local Development

# Start PostgreSQL and Redis
docker compose up -d postgres redis

# Backend
cd backend
uv sync
uv run alembic upgrade head
uv run uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

# Frontend (separate terminal)
cd frontend
npm install
npm run dev

Or use the helper script:

./launch.sh

Connecting AI via MCP

Wairz uses MCP to give AI agents access to firmware analysis tools. After starting the backend, register the MCP server with your preferred client:

Claude Code

claude mcp add wairz -- docker exec -i wairz-backend-1 uv run wairz-mcp --project-id <PROJECT_ID>

Claude Desktop

Add to your Claude Desktop config (~/.config/Claude/claude_desktop_config.json on Linux, ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "wairz": {
      "command": "docker",
      "args": [
        "exec", "-i", "wairz-backend-1",
        "uv", "run", "wairz-mcp",
        "--project-id", "<PROJECT_ID>"
      ]
    }
  }
}

OpenCode

Add to your opencode.json (project root or ~/.config/opencode/opencode.json):

{
  "mcp": {
    "wairz": {
      "type": "local",
      "command": ["docker", "exec", "-i", "wairz-backend-1", "uv", "run", "wairz-mcp", "--project-id", "<PROJECT_ID>"],
      "timeout": 30000,
      "enabled": true
    }
  }
}

Note: The timeout must be increased from the default 5000ms because Wairz registers 90+ tools.

Once connected, your AI agent can autonomously explore firmware, analyze binaries, run emulation, fuzz targets, and generate security findings. The MCP server supports dynamic project switching via the switch_project tool — no restart needed to change projects.

MCP Tools (60+)

Category	Tools
Project	get_project_info, switch_project, list_projects
Filesystem	list_directory, read_file, search_files, file_info, find_files_by_type, get_component_map, get_firmware_metadata, extract_bootloader_env
Strings	extract_strings, search_strings, find_crypto_material, find_hardcoded_credentials
Binary Analysis	list_functions, disassemble_function, decompile_function, list_imports, list_exports, xrefs_to, xrefs_from, get_binary_info, check_binary_protections, check_all_binary_protections, find_string_refs, resolve_import, find_callers, search_binary_content, get_stack_layout, get_global_layout, trace_dataflow, cross_binary_dataflow
Security	check_known_cves, analyze_config_security, check_setuid_binaries, analyze_init_scripts, check_filesystem_permissions, analyze_certificate
SBOM	generate_sbom, get_sbom_components, check_component_cves, run_vulnerability_scan
Emulation	start_emulation, run_command_in_emulation, stop_emulation, check_emulation_status, get_emulation_logs, enumerate_emulation_services, diagnose_emulation_environment, troubleshoot_emulation, get_crash_dump, run_gdb_command, save_emulation_preset, list_emulation_presets, start_emulation_from_preset
Fuzzing	analyze_fuzzing_target, generate_fuzzing_dictionary, generate_seed_corpus, generate_fuzzing_harness, start_fuzzing_campaign, check_fuzzing_status, stop_fuzzing_campaign, triage_fuzzing_crash
Comparison	list_firmware_versions, diff_firmware, diff_binary, diff_decompilation
UART	uart_connect, uart_send_command, uart_read, uart_send_break, uart_send_raw, uart_disconnect, uart_status, uart_get_transcript
Reporting	add_finding, list_findings, update_finding, read_project_instructions, list_project_documents, read_project_document
Code	save_code_cleanup

UART Bridge (Optional)

For live device access via UART, run the bridge on the host machine (USB serial adapters can't easily pass through to Docker):

pip install pyserial
python3 scripts/wairz-uart-bridge.py --bind 0.0.0.0 --port 9999

The bridge is a TCP server — the serial device path and baud rate are specified via the uart_connect MCP tool, not on the command line.

On Linux, allow Docker traffic to reach the bridge and ensure .env is configured correctly:

sudo iptables -I INPUT -p tcp --dport 9999 -j ACCEPT

UART_BRIDGE_HOST in .env must be host.docker.internal (not localhost). Restart the backend after changing .env: docker compose restart backend.

See UART Console docs for full setup details.

Tech Stack

Layer	Technology
Frontend	React 19, Vite, TypeScript, Tailwind CSS, shadcn/ui
Code Viewer	Monaco Editor
Component Graph	ReactFlow + Dagre
Terminal	xterm.js
State Management	Zustand
Backend	Python 3.12, FastAPI, SQLAlchemy 2.0 (async), Alembic
Database	PostgreSQL 16
Cache	Redis 7
Firmware Extraction	binwalk, sasquatch, jefferson, ubi_reader, cramfs-tools
Binary Analysis	radare2 (r2pipe), pyelftools
Decompilation	Ghidra 11.3.1 (headless) with custom analysis scripts
Emulation	QEMU user-mode + system-mode (ARM, MIPS, MIPSel, AArch64)
Fuzzing	AFL++ with QEMU mode
SBOM	CycloneDX, NVD API (nvdlib)
UART	pyserial (host-side bridge)
AI Integration	MCP (Model Context Protocol)
Containers	Docker + Docker Compose

Project Structure

wairz/
├── backend/
│   ├── app/
│   │   ├── main.py              # FastAPI application
│   │   ├── config.py            # Settings (pydantic-settings)
│   │   ├── database.py          # Async SQLAlchemy engine/session
│   │   ├── mcp_server.py        # MCP server with dynamic project switching
│   │   ├── models/              # SQLAlchemy ORM models
│   │   ├── schemas/             # Pydantic request/response schemas
│   │   ├── routers/             # REST API endpoints
│   │   ├── services/            # Business logic
│   │   ├── ai/                  # MCP tool registry + 60+ tool implementations
│   │   │   └── tools/           # Organized by category (filesystem, binary, security, etc.)
│   │   └── utils/               # Path sandboxing, output truncation
│   ├── alembic/                 # Database migrations
│   └── pyproject.toml
├── frontend/
│   ├── src/
│   │   ├── pages/               # Route pages (explorer, emulation, fuzzing, SBOM, etc.)
│   │   ├── components/          # UI components (file tree, hex viewer, component map, etc.)
│   │   ├── api/                 # API client functions
│   │   ├── stores/              # Zustand state management
│   │   └── types/               # TypeScript type definitions
│   └── package.json
├── ghidra/
│   ├── Dockerfile               # Ghidra headless container
│   └── scripts/                 # Custom Java analysis scripts
├── emulation/
│   ├── Dockerfile               # QEMU container (ARM, MIPS, MIPSel, AArch64)
│   └── scripts/                 # Emulation helper scripts
├── fuzzing/
│   └── Dockerfile               # AFL++ container with QEMU mode
├── scripts/
│   └── wairz-uart-bridge.py     # Host-side UART serial bridge
├── docker-compose.yml
├── launch.sh                    # Local development launcher
├── .env.example
└── CLAUDE.md

Configuration

All settings are configured via environment variables or .env file:

Variable	Default	Description
DATABASE_URL	postgresql+asyncpg://wairz:wairz@postgres:5432/wairz	PostgreSQL connection
REDIS_URL	redis://redis:6379/0	Redis connection
STORAGE_ROOT	/data/firmware	Firmware storage directory
MAX_UPLOAD_SIZE_MB	500	Maximum firmware upload size
MAX_TOOL_OUTPUT_KB	30	MCP tool output truncation limit
GHIDRA_PATH	/opt/ghidra	Ghidra installation path
GHIDRA_TIMEOUT	120	Ghidra decompilation timeout (seconds)
FUZZING_IMAGE	wairz-fuzzing	Fuzzing container image name
FUZZING_TIMEOUT_MINUTES	120	Max fuzzing campaign duration
FUZZING_MAX_CAMPAIGNS	1	Max concurrent fuzzing campaigns
UART_BRIDGE_HOST	host.docker.internal	UART bridge hostname
UART_BRIDGE_PORT	9999	UART bridge TCP port
NVD_API_KEY	(empty)	Optional NVD API key for higher rate limits
LOG_LEVEL	INFO	Logging level

Testing Firmware

Good firmware images for testing:

• OpenWrt — Well-structured embedded Linux (MIPS, ARM)
• DD-WRT — Similar to OpenWrt
• DVRF (Damn Vulnerable Router Firmware) — Intentionally vulnerable, great for security testing

License

AGPL-3.0