SecureWoof
Protecting Your System with AI-Powered Security

SecureWoof is an AI-powered malware scanner that utilizes advanced technologies such as Yara rules, Retdec unpacker, Ghidra decompiler, clang-tidy formatter, FastText embedding, and RoBERTa transformer network to scan and detect malicious executable files. The tool is trained on the SOREL-20M malware dataset to enhance its detection capabilities. SecureWoof offers a public API that is free to use, allowing developers to integrate malware scanning functionality into their applications easily.
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Features
- AI-powered malware scanning
- Utilizes Yara rules for checking
- Decompiles files using Ghidra
- Formats code with clang-tidy
- Embeds using FastText
Advantages
- Advanced AI technology for accurate detection
- Public API available for easy integration
- Trained on a large malware dataset for improved performance
- Utilizes multiple tools for comprehensive scanning
- Free to use for all users
Disadvantages
- May have limitations in detecting new or zero-day threats
- Requires internet connectivity for API access
- Complex scanning process may be challenging for beginners
Frequently Asked Questions
-
Q:What technologies does SecureWoof use for scanning?
A:SecureWoof uses Yara rules, Retdec unpacker, Ghidra decompiler, clang-tidy formatter, FastText embedding, and RoBERTa transformer network. -
Q:Is there a public API available for SecureWoof?
A:Yes, SecureWoof offers a free public API for developers. -
Q:How was the RoBERTa and FastText model trained?
A:The models were trained using the SOREL-20M malware dataset.
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SecureWoof is an AI-powered malware scanner that utilizes advanced technologies such as Yara rules, Retdec unpacker, Ghidra decompiler, clang-tidy formatter, FastText embedding, and RoBERTa transformer network to scan and detect malicious executable files. The tool is trained on the SOREL-20M malware dataset to enhance its detection capabilities. SecureWoof offers a public API that is free to use, allowing developers to integrate malware scanning functionality into their applications easily.
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