collaborators

5 papers

cs.CR2026

Binge, Bot, Repeat: Unpacking the Ecosystem of Video Piracy on Telegram

Sadikshya Gyawali, Jaishnoor Kaur, Taylor Graham +4

Telegram has emerged as a major platform for large-scale video piracy, where copyrighted content is rapidly distributed among users. Despite its prominence, the structural and oper…

cs.CR2026

Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data

Elham Pourabbas Vafa, Sayak Saha Roy, Shirin Nilizadeh

We demonstrate how publicly available social-media data and generative AI (GenAI) can be misused to automate and scale highly personalized, context-aware spear-phishing campaigns.…

cs.CR2025

DarkGram: A Large-Scale Analysis of Cybercriminal Activity Channels on Telegram

Sayak Saha Roy, Elham Pourabbas Vafa, Kobra Khanmohammadi +1

We present the first large-scale analysis of 339 cybercriminal activity channels (CACs). Followed by over 23.8 million users, these channels share a wide array of malicious and une…

cs.CR2025

"Explain, Don't Just Warn!" -- A Real-Time Framework for Generating Phishing Warnings with Contextual Cues

Sayak Saha Roy, Cesar Torres, Shirin Nilizadeh

Anti-phishing tools typically display generic warnings that offer users limited explanation on why a website is considered malicious, which can prevent end-users from developing th…

cs.CR2025

PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT

Sayak Saha Roy, Shirin Nilizadeh

In this paper, we introduce PhishLang, the first fully client-side anti-phishing framework built on a lightweight ensemble framework that utilizes advanced language models to analy…