Metalware provides an automated, end-to-end firmware binary analysis solution designed to secure cyber-physical systems across various industries. The platform proactively uncovers bugs and vulnerabilities in embedded systems, supporting product security, DevSecOps integration, and continuous testing within CI/CD pipelines. This service helps enterprises and governments meet regulatory compliance by generating detailed, audit-ready reports for critical infrastructure protection.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Embedded software developers face challenges in identifying vulnerabilities in ARM-based firmware due to the complexity of emulation and the need for source code access. Traditional fuzzing techniques often require manual configuration and on-target execution, leading to scalability limitations and potential false positives.
Solution
Metalware offers a binary analysis tool that automates fuzz testing for ARM-based embedded software, enabling vulnerability detection without requiring source code. The platform simplifies firmware emulation by allowing users to upload a binary and specify the target device's memory map. By fuzzing off-target, Metalware achieves horizontal and vertical scalability, while minimizing false positives by focusing on deployed production binaries. The tool delivers detailed remediation reports, including stack traces, program traces, input vectors, and vulnerability mappings to industry standards, facilitating efficient vulnerability resolution.
Target Audience
Metalware targets embedded software developers, product security teams, and quality assurance engineers responsible for securing ARM-based devices across various industries, including aerospace, defense, and IoT.
Features
- Automated firmware emulation for ARM-based devices, eliminating manual configuration
- Protocol-agnostic fuzzing, supporting a wide range of embedded systems without manual configuration
- Binary analysis without requiring source code, enabling supply chain security assessments
- Low false positive rate by focusing on vulnerabilities in deployed production binaries
- Automated clustering of related failures to improve signal-to-noise ratio
- Detailed remediation reports with stack traces, program traces, and input vectors
- API, web interface, and data export options for integration into development workflows and CI/CD pipelines
- Support for AWS GovCloud for handling sensitive government data