Nidhi Rastogi, Md Tanvirul Alam (Rochester Institute of Technology)

Cyber threat intelligence (CTI) has been valuable to SOC analysts investigating emerging and known threats and attacks. However, the reach is still limited, and the adoption could be higher. While CTI has consistently proven to be a rich source of threat indicators and patterns collected by peer security researchers, other researchers have occasionally found them helpful. Challenges include intelligence in the CTI documented in an unstructured format, embedded in a large amount of text, making it challenging to integrate them effectively with existing threat intelligence analysis tools for internal system logs. In this paper, we detail ongoing research in threat intelligence extraction, integration, and analysis at different levels of granularity from unstructured threat analysis reports. We share ongoing challenges and provide recommendations to overcome them.

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Double and Nothing: Understanding and Detecting Cryptocurrency Giveaway Scams

Xigao Li (Stony Brook University), Anurag Yepuri (Stony Brook University), Nick Nikiforakis (Stony Brook University)

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Lightning Community Shout-Outs to:

(1) Jonathan Petit, Secure ML Performance Benchmark (Qualcomm) (2) David Balenson, The Road to Future Automotive Research Datasets: PIVOT Project and Community Workshop (USC Information Sciences Institute) (3) Jeremy Daily, CyberX Challenge Events (Colorado State University) (4) Mert D. Pesé, DETROIT: Data Collection, Translation and Sharing for Rapid Vehicular App Development (Clemson University) (5) Ning…

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QUICforge: Client-side Request Forgery in QUIC

Yuri Gbur (Technische Universität Berlin), Florian Tschorsch (Technische Universität Berlin)

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