PowerLZY/malware_classification_bdci
2021 CCF BDCI 数字安全公开赛“基于人工智能的恶意软件家族分类”赛题第二名Petrichor战队解决方案
This project helps cybersecurity analysts and incident responders automatically identify the family of a malware sample. You input a suspicious executable file, and the system outputs which of 10 known malware families it belongs to. This speeds up the process of understanding threats and developing countermeasures, allowing security professionals to quickly categorize and respond to new or obfuscated malicious software.
No commits in the last 6 months.
Use this if you need to quickly and accurately classify new or previously unseen malware samples into known families to streamline threat intelligence and response.
Not ideal if you need to detect entirely new, unknown malware that doesn't fit into one of the 10 pre-defined families, as this tool focuses on classification, not novel threat detection.
Stars
21
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jan 24, 2022
Commits (30d)
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