most citedPhishLumos: An Adaptive Multi-Agent System for Proactive Phishing Campaign Mitigation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

9 papers

cs.CR2026

TIBlender: Early-Warning Threat Intelligence from Cross-Platform Social Media Evidence

Hiroki Nakano, Takashi Koide, Daiki Chiba

Cyber threat signals are fragmented across multiple social media platforms, yet no existing approach has fully automated their integration into actionable threat intelligence (TI)…

cs.CR20261 cited

PhishLumos: An Adaptive Multi-Agent System for Proactive Phishing Campaign Mitigation

Daiki Chiba, Hiroki Nakano, Takashi Koide

Phishing attacks are a significant societal threat, disproportionately harming vulnerable populations and eroding trust in essential digital services. Current defenses are often re…

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

DomainDynamics: Lifecycle-Aware Risk Timeline Construction for Domain Names

Daiki Chiba, Hiroki Nakano, Takashi Koide

The persistent threat posed by malicious domain names in cyber-attacks underscores the urgent need for effective detection mechanisms. Traditional machine learning methods, while c…

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…