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Securewoof

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Last updated: August 8, 2024

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What is Securewoof?

SecureWoof provides an AI-powered malware scanner that leverages the SOREL-20M malware dataset to train RoBERTa and FastText models. When users upload an executable file, it undergoes a series of checks and transformations, including static Yara rules, unpacking with Retdec, decompiling with Ghidra, formatting with clang-tidy, embedding with FastText, and final evaluation by a RoBERTa transformer network. SecureWoof also offers a free public API for easy integration and use.

Category

SecurityApplication

Securewoof's Top Features

AI-powered malware scanning

Trained on SOREL-20M dataset

Utilizes RoBERTa transformer network

Static Yara rule checking

Unpacking with Retdec

Decompiling with Ghidra

Formatting with clang-tidy

Embedding with FastText

Free public API available

Advanced detection capabilities

Frequently asked questions about Securewoof

Securewoof's pricing

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    Use Cases

    Cybersecurity Experts

    to detect and analyze potential malware threats in executable files.

    Software Developers

    to integrate malware scanning directly into their applications using the public API.

    IT Administrators

    to ensure the safety and integrity of executable files used within their networks.

    Researchers

    to study and understand advanced malware detection techniques.

    Security Firms

    to offer advanced malware detection services to their clients.

    Enterprise Companies

    to protect their digital assets from malicious software by utilizing advanced AI-driven scanning.

    Educational Institutions

    to teach students about modern malware detection techniques and tools.

    API Integrators

    to enhance their applications with powerful malware detection capabilities via SecureWoof's API.

    Freelance Security Consultants

    to provide high-quality malware detection services to their clients.

    Government Agencies

    to safeguard national cybersecurity by employing cutting-edge malware detection tools.

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