DARKWEB IMAGE SCRAPPER: An Open Source Intelligence Tool

Ashwini Sasi, Varun Nair, Vipin P
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Abstract

The darkweb has always been a supreme source for conducting web-based illegal activities. Cyber-criminals have been consistently using the darkweb for providing malicious services and carrying out criminal activities. With a multitude of networks that are volunteered, it is hard to trace down these malicious services and service providers. OSNIT is a method that is used to accumulate information on a specific targeted entity by gathering the data available publicly. Implementing open source intelligence on the Tor-based network is a difficult task for both developers and researchers due to the sophisticated onion routing feature. Onion routing provides a strong anonymity feature for its users. A tool is introduced through this work for OSNIT on the darkweb. The tool is expected to help law enforcement agencies and threat researchers to automate the task of extraction of pictorial intelligence from different malicious sites in the darkweb.
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暗网图像抓取器:一个开源的智能工具
暗网一直是进行基于网络的非法活动的最高来源。网络犯罪分子一直在利用暗网提供恶意服务和进行犯罪活动。由于有大量的自愿网络,很难追踪这些恶意服务和服务提供商。OSNIT是一种通过收集公开可用的数据来积累关于特定目标实体的信息的方法。由于复杂的洋葱路由特性,在基于tor的网络上实现开源智能对开发人员和研究人员来说都是一项艰巨的任务。洋葱路由为用户提供了强大的匿名特性。通过这项工作,介绍了一种用于暗网上OSNIT的工具。该工具有望帮助执法机构和威胁研究人员自动完成从暗网上不同恶意站点提取图像情报的任务。
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