output
20172026
most citedLeveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery

9 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

Beyond Classification Accuracy: An Exploration-Range Evaluation of Adaptive Crawling for Fake Shopping Sites

K. Karasawa, K. Takeshige, S. Matsugaya +2

In recent years, fake shopping sites targeting Japanese users have appeared in the top results of search engines through SEO poisoning, causing increasing damage. Conventional coll…

cs.CR2026

LLM-assisted Generation of Pseudo-C2 Servers for IoT Malware Dynamic Analysis

K. Hasui, S. Matsugaya, M. Shimamura +1

Most IoT malware operates as botnets dependent on Command and Control (C2) servers, but the short-lived nature of attack infrastructure often leaves samples dormant without C2 comm…

cs.CR2025

Uncovering Black-hat SEO based fake E-commerce scam groups from their redirectors and websites

Makoto Shimamura, Shingo Matsugaya, Keisuke Sakai +2

While law enforcements agencies and cybercrime researchers are working hard, fake E-commerce scam is still a big threat to Internet users. One of the major techniques to victimize…

cs.CR2017★ 9 cited

Leveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery

Tommi Unruh, Bhargava Shastry, Malte Skoruppa +4

The Web is replete with tutorial-style content on how to accomplish programming tasks. Unfortunately, even top-ranked tutorials suffer from severe security vulnerabilities, such as…