The Many Faces of Mevade Botconf 2014 Wednesday | 14:20 – 15:00 Martijn Grooten 🗣 | João Gouveia 🗣 Mevade (also known as Sefnit) is a botnet that engages in click-fraud and cryptocurrency mining. Mevade is noticeable for two reasons. Firstly, it is huge: at some point, several millions of computers had been infected. And secondly, when […]
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Splicing and Dicing 2014: Examining this Year’s Botnet Attack Trends Botconf 2014 Wednesday | 15:00 – 15:30 Nick Sullivan 🗣 This presentation will discuss the various types of distributed denial of service attacks launched by botnets in 2014, worldwide. From DNS to Layer7 attacks, attendees will hear expert analysis of botnet breakdowns by-the-numbers including where
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How to Dismantle a Botnet: the Legal Behind the Scenes Botconf 2014 Wednesday | 16:50 – 17:40 Karine e Silva 🗣 Security experts have accomplished significant knowledge on how the most impenetrable botnets operate. While botnet intelligence gathering and disruptive tools are fast evolving, the legal mechanisms that enable investigation and prosecution of cyber crime
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Round table debate Botconf 2014 Wednesday | 17:40 – 18:30 Karine e Silva 🗣 | Renaud Leroy 🗣 Edit
Round table debate Read More »
Feedback on Windbg Usage Botconf 2014 Thursday | 09:00 – 09:50 Paul Rascagnères 🗣 Edit PDF Video
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A Timeline of Mobile Botnets Botconf 2014 Thursday | 09:50 – 10:40 Ruchna Nigam 🗣 Edit PDF
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Nolimitsecu Podcast Botconf 2015 Lightning talks Johanne Ulloa 🗣 External link: Project website Edit PDF
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Make It count: An analysis of a brute-forcing botnet Botconf 2015 Wednesday | 15:40 – 16:00 Veronica Valeros 🗣 What does a botnet do when it gets bored? Make every infection second count – even if it means to use the infection time for brute forcing. This presentation aims to show a complete sandbox infection
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Building a better botnet DGA mousetrap: separating mice, rats and cheese in DNS data Botconf 2015 Thursday | 11:30 – 11:50 Josiah Hagen 🗣 | Miranda Mowbray 🗣 | Prasad Rao 🗣 Botnets and other malware are getting better and better at evading blacklisting in enterprise networks. This draft paper is about an approach for detecting such botnets or
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