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VirusBattle: State-of-the-art malware analysis for better cyber threat intelligence

机译:Virusbattle:最先进的恶意软件分析,更好的网络威胁情报

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Discovered interrelationships among instances of malware can be used to infer connections among seemingly unconnected objects, including actors, machines, and the malware itself. However, such malware interrelationships are currently underutilized in the cyber threat intelligence arena. To fill that gap, we are developing VirusBattle, a system employing state-of-the-art malware analyses to automatically discover interrelationships among instances of malware. VirusBattle analyses mine malware interrelationships over many types of malware artifacts, including the binary, code, code semantics, dynamic behaviors, malware metadata, distribution sites and e-mails. The result is a malware interrelationships graph which can be explored automatically or interactively to infer previously unknown connections.
机译:在恶意软件实例中发现的相互关系可用于推断看似未连接的物体之间的连接,包括演员,机器和恶意软件本身。但是,这种恶意软件相互关系目前在网络威胁情报竞技场中未化。为了填补这种差距,我们正在开发VirusBattle,该系统采用最先进的恶意软件分析,以在恶意软件的情况下自动发现相互关系。 Virusbattle分析了MinalWare的相互关系,在许多类型的恶意软件工件中,包括二进制,代码,代码语义,动态行为,恶意软件元数据,分发站点和电子邮件。结果是恶意软件相互关系图,可以自动或交互地探索以推断出先前未知的连接。

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