# nmatt0/mithril

> IoT static scanner for secrets, SBOM, CVEs and more.

## Fast Facts & Telemetry
- **Canonical URL**: https://githubrepo.cloud/repo/nmatt0/mithril
- **GitHub Source**: https://github.com/nmatt0/mithril
- **Global Rank**: #10,648 on GitHubRepo
- **Stars**: 364
- **Forks**: 42
- **Open Issues**: 0
- **Primary Language**: C++
- **Software License**: MIT
- **Last Commit / Push**: Oct 16, 2026
- **Topics**: firmware-analysis, firmware-tools, hacking, infosec, iot, iot-hacking, linux, offsec, penetration-testing, sbom, security, security-tools, vulnerability-scanner

## Project Overview
mithril is an open-source project written in C++: IoT static scanner for secrets, SBOM, CVEs and more.

Engineered for speed, consistency, and developer ease, it solves common hurdles in firmware-analysis, firmware-tools, hacking. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

## Key Features
- Optimized execution pipeline written in C++ for predictable speed.
- Zero-friction configuration with comprehensive sensible defaults out of the box.
- Cross-platform runtime support across Linux, macOS, and Windows environments.
- Strong typing and modular architecture designed for easy extension and maintainability.
- Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
- Active community maintenance with regular dependency updates and security patches.

## Installation & Quick Start
### Linux
```bash
git clone https://github.com/nmatt0/mithril.git
cd mithril
```

### macOS
```bash
git clone https://github.com/nmatt0/mithril.git
cd mithril
```

### Windows
```bash
git clone https://github.com/nmatt0/mithril.git
cd mithril
```

## System Requirements & Architecture
- **Supported Platforms**: macOS, Linux, Windows
- **Runtime Dependencies**: C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
- **Architecture**: x86_64, ARM64 (Apple Silicon & Graviton)

## How It Works
mithril coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

## Production Use Cases
### Command-Line Automation
Execute automated build, deployment, and maintenance tasks directly from the terminal.

### CI/CD Workflow Integration
Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.

### Developer Environment Setup
Standardize local engineering workstations with single-binary utility commands.

### Scripting & Pipeline Orchestration
Chain complex multi-stage scripts with reliable error reporting and exits.

## Target Audience
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

## Strengths
- Active community backing with 364 GitHub stars and verified adoption.
- Permissive open-source distribution under the MIT license.
- Built in C++ for high execution speed and developer familiarity.
- Cross-platform compatibility across modern Linux, macOS, and Windows environments.
- Clean modular design allowing flexible configuration and pipeline integration.

## Considerations
- Requires familiarity with C++ and modern CLI workflows.
- Ecosystem extensions may require manual configuration depending on environment constraints.
- Active development roadmap means breaking API changes may occur across major versions.

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