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TExtractor: An OSINT Tool to Extract and Analyse Audio/Video Content

机译:TExtractor:用于提取和分析音频/视频内容的OSINT工具

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摘要

Hacking, data breaches, and information loss are a growing concern for organizations. Aware of the escalation of cyber threats, organizations are looking for ways to detect and mitigate cyberattack scenarios. Cyber intelligence, that is, knowledge produced through data and information on cyber threats and its actors is one of the means explored for this purpose. OSINT (Open Source INTelligence) is one of the areas of data collection for the production of cyber intelligence. In this paper we propose an OSINT tool (TExtractor) to facilitate the process of obtaining information about cyber threats. The TExtractor tool consists of extracting text from video/audio in open sources and searching for keywords linked to the activities of malicious actors. To support the development of TExtractor, we conducted a study to measure the effectiveness of different text extraction tools in audio/video sources. The results are presented in the paper and show that a tool like TExtractor can detect references to cyberattacks on audio/video sources in real time, with an accuracy between 60% and 70%.
机译:黑客,数据泄露和信息丢失已成为组织日益关注的问题。意识到网络威胁的升级,组织正在寻找检测和缓解网络攻击情形的方法。网络情报,即通过有关网络威胁及其参与者的数据和信息产生的知识,是为此目的而探索的手段之一。 OSINT(开放源代码情报)是用于生产网络情报的数据收集领域之一。在本文中,我们提出了一个OSINT工具(TExtractor),以促进获取有关网络威胁的信息的过程。 TExtractor工具包括从开放源代码的视频/音频中提取文本并搜索与恶意行为者活动相关的关键字。为了支持TExtractor的发展,我们进行了一项研究,以测量音频/视频源中不同文本提取工具的有效性。结果显示在论文中,表明像TExtractor这样的工具可以实时检测对音频/视频源上的网络攻击的引用,其准确度在60%到70%之间。

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