Intelligent visual similarity-based phishing websites detection

JL Chen, YW Ma, KL Huang - Symmetry, 2020 - mdpi.com
… -Phishing Working Group (APWG) report, the average number of phishing websites that can
be detected … approach to detecting phishing websites that is based on visual similarity. The …

Visualphishnet: Zero-day phishing website detection by visual similarity

S Abdelnabi, K Krombholz, M Fritz - Proceedings of the 2020 ACM …, 2020 - dl.acm.org
… to pages with new visual appearances. We … visual phishing detection in an ecologically
valid manner. We show that our method outperforms previous visual similarity phishing detection

A deep learning technique for web phishing detection combined URL features and visual similarity

S Al-Ahmadi - International Journal of Computer Networks & …, 2020 - papers.ssrn.com
… We proposed a way that can be used to detect newly created phishing webpages based
only on the URL and the screenshot of suspicious websites. The proposed model shows a …

Two level filtering mechanism to detect phishing sites using lightweight visual similarity approach

RS Rao, AR Pais - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
… Unlike traditional visual similarity-based techniques using whitelists, in this paper… visual
similarity based blacklist approach as a first level filter for the detection of near duplicate phishing

Web2vec: Phishing webpage detection method based on multidimensional features driven by deep learning

J Feng, L Zou, O Ye, J Han - IEEE Access, 2020 - ieeexplore.ieee.org
… game with phishing, phishing webpage analysis and detectionphishing webpage detection
methods such as blacklist-… , “A survey on phishing detection based on visual similarity of …

Combining text and visual features to improve the identification of cloned webpages for early phishing detection

B Van Dooremaal, P Burda, L Allodi… - … of the 16th International …, 2021 - dl.acm.org
… Among existing phishing detection approaches, visual similaritybased approaches have the
detection of ‘zeroday’ phishing websites [15, 18]. To identify the web page that the phishing

Hybrid phishing detection using joint visual and textual identity

CCL Tan, KL Chiew, KSC Yong, Y Sebastian… - Expert systems with …, 2023 - Elsevier
… identity-based phishing detection technique that leverages webpage visual and textual …
As observed from preceding works, the efficacy of visual similarity-based techniques is often …

[HTML][HTML] Multi-scale semantic deep fusion models for phishing website detection

DJ Liu, GG Geng, XC Zhang - Expert Systems with Applications, 2022 - Elsevier
phishing website detection, this section includes both semantic-based phishing website and
phishing email detection. … to semantic similarity of phishing websites, visual similarity is also …

[HTML][HTML] Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics

C Opara, Y Chen, B Wei - Expert Systems with Applications, 2024 - Elsevier
… This section compares WebPhish’s deep neural network effect on phishing web page
detection using raw URL and HTML content to simpler baseline models trained on hand-crafted …

Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using URL and HTML

S Ariyadasa, S Fernando, S Fernando - IEEE Access, 2022 - ieeexplore.ieee.org
similarity measuring, and site signaturebased phishing detection approach [56] are other
visual similarity … Despite these approaches, visual similarity detection faces several challenges, …