Phishfort - Anti-phishing framework
- Title
- Phishfort - Anti-phishing framework
- Creator
- Kalloor E.A.; Mishra M.K.; Paulose J.
- Description
- Phishing attack is one of the most common form of attack used to get unauthorized access to users' credentials or any other sensitive information. It is classified under social engineering attack, which means it is not a technical vulnerability. The attacker exploits the human nature to make mistake by fooling the user to think that a given web page is genuine and submitting confidential data into an embedded form, which is harvested by the attacker. A phishing page is often an exact replica of the legitimate page, the only noticeable difference is the URL. Normal users do not pay close attention to the URL every time, hence they are exploited by the attacker. This paper suggests a login framework which can be used independently or along with a browser extension which will act as a line of defense against such phishing attacks. The semi-automated login mechanism suggested in this paper eliminates the need for the user to be alert at all time, and it also provides a personalized login screen so that the user can to distinguish between a genuine and fake login page quite easily. 2018 Authors.
- Source
- International Journal of Engineering and Technology(UAE), Vol-7, No. 3, pp. 42-46.
- Date
- 2018-01-01
- Publisher
- Science Publishing Corporation Inc
- Subject
- Anti-phishing; Cyber security; Identity theft; Phishing; Social engineering
- Coverage
- Kalloor E.A., Department of Computer Science, Christ University, Bengaluru, 560029, India; Mishra M.K., Department of Computer Science, Banaras Hindu University, Varanasi, 221005, India; Paulose J., Department of Computer Science, Christ University, Bengaluru, 560029, India
- Rights
- All Open Access; Bronze Open Access
- Relation
- ISSN: 2227524X
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Kalloor E.A.; Mishra M.K.; Paulose J., “Phishfort - Anti-phishing framework,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/16938.