most citedLLaVul: A Multimodal LLM for Interpretable Vulnerability Reasoning about Source Code

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cs.CR2026

The Tragedy of Convenience: Cascading User-Data Leakage from SMS-Delivered URLs

Muhammad Danish, Enrique Sobrados, Priya Kaushik +5

Digital Services are increasingly sending private URLs over Short Message Service (SMS) to allow users to resume sessions with a single click. While convenient, this design shifts…

cs.CR2025

Robust ML-based Detection of Conventional, LLM-Generated, and Adversarial Phishing Emails Using Advanced Text Preprocessing

Deeksha Hareesha Kulal, Chidozie Princewill Arannonu, Afsah Anwar +2

Phishing remains a critical cybersecurity threat, especially with the advent of large language models (LLMs) capable of generating highly convincing malicious content. Unlike earli…