3 papers
cs.CR2026
Clouding the Mirror: Stealthy Prompt Injection Attacks Targeting LLM-based Phishing Detection
Takashi Koide, Hiroki Nakano, Daiki Chiba
Phishing sites continue to grow in volume and sophistication. Recent work leverages large language models (LLMs) to analyze URLs, HTML, and rendered content to decide whether a web…
cs.CR2025
PhishParrot: LLM-Driven Adaptive Crawling to Unveil Cloaked Phishing Sites
Hiroki Nakano, Takashi Koide, Daiki Chiba
Phishing attacks continue to evolve, with cloaking techniques posing a significant challenge to detection efforts. Cloaking allows attackers to display phishing sites only to speci…
cs.CR2025
ScamFerret: Detecting Scam Websites Autonomously with Large Language Models
Hiroki Nakano, Takashi Koide, Daiki Chiba
With the rise of sophisticated scam websites that exploit human psychological vulnerabilities, distinguishing between legitimate and scam websites has become increasingly challengi…