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Weaponizing Data Science for Social Engineering: Automated E2E Spear Phishing on Twitter

This cybergamut Technical Tuesday features ZeroFox data scientist John Seymour, who will present a recurrent neural network that learns to tweet phishing posts targeting specific users. Historically, machine learning for information security has prioritized defense: think intrusion detection systems, malware classification and botnet traffic identification. Offense can benefit from data just as well. Social networks, especially Twitter with its access to extensive personal data, bot-friendly API, colloquial syntax and prevalence of shortened links, are the perfect venues for spreading machine-generated malicious content. We present a recurrent neural network that learns to tweet phishing posts targeting specific users. The model is trained using spear phishing pen-testing data, and in order to make a click-through more likely, it is dynamically seeded with topics extracted from timeline posts of both the target and the users they retweet or follow.

Key Information

Tuesday, December 06, 2016
Event Duration: 1 Days
Elkridge, Maryland United States

Weaponizing Data Science for Social Engineering: Automated E2E Spear Phishing on Twitter | Conference

http://bit.ly/2fudKm7

Tuesday, December 06, 2016

Elkridge, Maryland, United States