| Title |
BitB atakos atpažinimo metodo sukūrimas ir tyrimas |
| Translation of Title |
Development and analysis of a BitB attack recognition method. |
| Authors |
Sapitavičius, Andrius |
| Full Text |
|
| Pages |
63 |
| Keywords [eng] |
object detection ; optical character recognition ; phishing websites |
| Abstract [eng] |
This paper explores the concept of a BitB (Browser in the Browser) attack and presents a method for real-time detection of such attacks in the user's browser. BitB attacks work by simulating a browser pop-up on a malicious website, tricking users into submitting login credentials. The aim of this project is to develop an effective detection method that identifies and prevents this type of attack. The method proposed in this paper is based on the identification of a login form from a web page view, in order to determine whether the login form is fake. The prototype system implemented consists of a browser plug-in and a separate analysis program. The system analyses the web page image in real time, allowing it to detect attack attempts, block the data sent by the web page, and warn the user. The evaluation of the system has shown that it achieves a high level of accuracy in detecting attacks and is fast enough to be applicable in real-world environments. The results of the work show that this type of approach can be an effective means of protection against BitB attacks. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2025 |
