23 citations · 70 across the 14 of their papers we have counts for
15 papers
ClaimMirage: When Self-Claims in Domain Names Change LLM Threat Judgments
Daiki Chiba, Hiroki Nakano, Takashi Koide
Short claims such as not-phishing or official can change how a large language model (LLM) judges a domain name, without explicit prompt-injection commands. We study this manipulati…
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)…
Clouding the Mirror: Stealthy Prompt Injection Attacks Targeting LLM-based Phishing Detection
Takashi Koide, Hiroki Nakano, Daiki Chiba
Phishing sites continue to increase in number and sophistication. Recent work uses large language models (LLMs) to analyze URLs, HTML, and rendered content and determine whether a…
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…
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…
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…
DomainHarvester: Harvesting Infrequently Visited Yet Trustworthy Domain Names
Daiki Chiba, Hiroki Nakano, Takashi Koide
In cybersecurity, allow lists play a crucial role in distinguishing safe websites from potential threats. Conventional methods for compiling allow lists, focusing heavily on websit…
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…
DomainLynx: Leveraging Large Language Models for Enhanced Domain Squatting Detection
Daiki Chiba, Hiroki Nakano, Takashi Koide
Domain squatting poses a significant threat to Internet security, with attackers employing increasingly sophisticated techniques. This study introduces DomainLynx, an innovative co…
ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection
Takashi Koide, Naoki Fukushi, Hiroki Nakano +1
The proliferation of phishing sites and emails poses significant challenges to existing cybersecurity efforts. Despite advances in malicious email filters and email security protoc…
PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names
Takashi Koide, Naoki Fukushi, Hiroki Nakano +1
Domain squatting is a technique used by attackers to create domain names for phishing sites. In recent phishing attempts, we have observed many domain names that use multiple techn…
Detecting Phishing Sites Using ChatGPT
Takashi Koide, Naoki Fukushi, Hiroki Nakano +1
The emergence of Large Language Models (LLMs), including ChatGPT, is having a significant impact on a wide range of fields. While LLMs have been extensively researched for tasks su…
Canary in Twitter Mine: Collecting Phishing Reports from Experts and Non-experts
Hiroki Nakano, Daiki Chiba, Takashi Koide +5
The rise in phishing attacks via e-mail and short message service (SMS) has not slowed down at all. The first thing we need to do to combat the ever-increasing number of phishing a…
A First Look at COVID-19 Domain Names: Origin and Implications
Ryo Kawaoka, Daiki Chiba, Takuya Watanabe +2
This work takes a first look at domain names related to COVID-19 (Cov19doms in short), using a large-scale registered Internet domain name database, which accounts for 260M of dist…
ShamFinder: An Automated Framework for Detecting IDN Homographs
Hiroaki Suzuki, Daiki Chiba, Yoshiro Yoneya +2
The internationalized domain name (IDN) is a mechanism that enables us to use Unicode characters in domain names. The set of Unicode characters contains several pairs of characters…