SecureWoof AI-powered Malware Scanner is a highly effective tool designed to provide a comprehensive examination of potentially harmful executable files. Driven by artificial intelligence, it offers a reliable solution to detect and counteract the threats linked to these files.
Upon the upload of an executable file to SecureWoof, a multi-step process takes place to ascertain its safety. Initially, it is screened against an established set of static Yara rules, which aids in recognizing any signatures or patterns that are typically linked to malevolent codes.
Following this, the Retdec unpacker springs into action, employed to fully unpack these files. Known for its widespread usage, this tool aids in file decompression, presenting the file content in a way that it can be carefully looked at for potential risks.
Once unpacking is carried out, the next step is the decompiling of the file. Here, Ghidra comes into the picture, transforming the file into a singular C file. This enables the software to decipher and examine the intricate structure of the code, thereby broadening its understanding.
The decompiled code then undergoes a refinement process by using the clang-tidy. This ensures the outstanding quality of the code and verifies adherence to the code standards.
To deepen the understanding of the semantic context of the code, FastText is brought into play, embedding the decompiled code that can work wonders in enhancing analysis.
The final checkpoint in the process calls upon the trained RoBERTa transformer network, which performs an evaluation of the file for any maliciousness. Both RoBERTa and FastText models engaged in SecureWoof are meticulously trained on the SOREL-20M malware dataset, for confident and precise identification and tagging of potential threats in the uploaded files.
In a nutshell, SecureWoof lends its users an upper hand in dealing with cybersecurity risks associated with executable files, thanks to its intelligent scanning mechanism that provides a highly sophisticated solution.
