Phishing environments, techniques, and countermeasures: A survey

A Aleroud, L Zhou - Computers & Security, 2017 - Elsevier
Phishing has become an increasing threat in online space, largely driven by the evolving
web, mobile, and social networking technologies. Previous phishing taxonomies have …

Phishing detection: analysis of visual similarity based approaches

AK Jain, BB Gupta - Security and Communication Networks, 2017 - Wiley Online Library
Phishing is one of the major problems faced by cyber‐world and leads to financial losses for
both industries and individuals. Detection of phishing attack with high accuracy has always …

Phishing website detection with semantic features based on machine learning classifiers: a comparative study

A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …

A survey of phishing attack techniques, defence mechanisms and open research challenges

AK Jain, BB Gupta - Enterprise Information Systems, 2022 - Taylor & Francis
Phishing is an identity theft, which deceives Internet users into revealing their sensitive data,
eg, login information, credit/debit card details, and so on. Researchers have developed …

Malicious URL detection using machine learning: A survey

D Sahoo, C Liu, SCH Hoi - arXiv preprint arXiv:1701.07179, 2017 - arxiv.org
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Phishing or not phishing? A survey on the detection of phishing websites

R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …

A stacking model using URL and HTML features for phishing webpage detection

Y Li, Z Yang, X Chen, H Yuan, W Liu - Future Generation Computer …, 2019 - Elsevier
In this paper, we present a stacking model to detect phishing webpages using URL and
HTML features. In terms of features, we design lightweight URL and HTML features and …

Visualphishnet: Zero-day phishing website detection by visual similarity

S Abdelnabi, K Krombholz, M Fritz - Proceedings of the 2020 ACM …, 2020 - dl.acm.org
Phishing websites are still a major threat in today's Internet ecosystem. Despite numerous
previous efforts, similarity-based detection methods do not offer sufficient protection for the …

Needle in a haystack: Tracking down elite phishing domains in the wild

K Tian, STK Jan, H Hu, D Yao, G Wang - Proceedings of the Internet …, 2018 - dl.acm.org
Today's phishing websites are constantly evolving to deceive users and evade the detection.
In this paper, we perform a measurement study on squatting phishing domains where the …

A survey and classification of web phishing detection schemes

G Varshney, M Misra, PK Atrey - Security and Communication …, 2016 - Wiley Online Library
Phishing is a fraudulent technique that is used over the Internet to deceive users with the
goal of extracting their personal information such as username, passwords, credit card, and …