Man in the Browser Attacks

In the present world, everyone uses the Internet and to access the internet they would need to use a browser. Unfortunately, the benefits of the Web are also available to hackers to exploit its weaknesses. Man-in-the-Browser (MITB) attacks are utilized through Trojan malware that infects an Internet browser. This attack is dangerous because of its ability to hide from anti-virus software and steal information from a user from the browser. MITB is able to see information within the browser since no encryption occurs in a browser. This is a serious threat to financial institutions and many other secret institutions as well. No one is safe from a MITB once it is installed because it easily bypasses the security mechanisms we all rely on. This paper explains what MITB attacks are, and how dangerous are those, and how it can be identified and how can we prevent it by discussing various preventive techniques and its effectiveness. This paper will also help to create awareness to the people about this attac

The zombies strike back: Towards client-side beef detection

A web browser is an application that comes bundled with every consumer operating system, including both desktop and mobile platforms. A modern web browser is complex software that has access to system-level features, includes various plugins and requires the availability of an Internet connection. Like any multifaceted software products, web browsers are prone to numerous vulnerabilities. Exploitation of these vulnerabilities can result in destructive consequences ranging from identity theft to network infrastructure damage. BeEF, the Browser Exploitation Framework, allows taking advantage of these vulnerabilities to launch a diverse range of readily available attacks from within the browser context. Existing defensive approaches aimed at hardening network perimeters and detecting common threats based on traffic analysis have not been found successful in the context of BeEF detection. This paper presents a proof-of-concept approach to BeEF detection in its own operating environment – the web browser – based on global context monitoring, abstract syntax tree fingerprinting and real-time network traffic analysis

Review of Browser Extensions, a Man-in-the-Browser Phishing Techniques Targeting Bank Customers

Initially, online scammers (phishers) used social engineering techniques to send emails to solicit personal information from customer in order to steal money from their Internet banking account. Data, such as passwords or bank account details, could be further used for other criminal activities. For instance, the scammers may intend to leave the victim’s information behind after they have successfully committed the crime so that the police can suspect the visible evidence as a suspicious criminal. Many customers are now aware of the need to protect their banking details from the phishers by not providing any sensitive information. Recently, phishing attacks have become more sophisticated and targeted to the online banking users. Hence, this paper reviews one form of a current type of phishing attack known as a ‘man-in-thebrowser’. It specifically focuses on the use of browser extensions, including their operational strategies. Techniques to identify, minimize, and prevent this type of attack are considered. Lastly, the author provides specific advice for the bank customers based on her research interests and experience in online banking security

Authentication and transaction verification using QR codes with a mobile device

User authentication and the verification of online transactions that are performed on an untrusted computer or device is an important and challenging problem. This paper presents an approach to authentication and transaction verification using a trusted mobile device, equipped with a camera, in conjunction with QR codes. The mobile device does not require an active connection (e.g., Internet or cellular network), as the required information is obtained by the mobile device through its camera, i.e. solely via the visual channel. The proposed approach consists of an initial user authentication phase, which is followed by a transaction verification phase. The transaction verification phase provides a mechanism whereby important transactions have to be verified by both the user and the server. We describe the adversarial model to capture the possible attacks to the system. In addition, this paper analyzes the security of the propose scheme, and discusses the practical issues and mechanisms by which the scheme is able to circumvent a variety of security threats including password stealing, man-in-the-middle and man-in-the-browser attacks. We note that our technique is applicable to many practical applications ranging from standard user authentication implementations to protecting online banking transactions

The zombies strike back: Towards client-side BeEFdetection

A web browser is an application that comes bundled with every consumer operating system, including both desktop and mobile platforms. A modern web browser is complex software that has access to system-level features, includes various plugins and requires the availability of an Internet connection. Like any multifaceted software products, web browsers are prone to numerous vulnerabilities. Exploitation of these vulnerabilities can result in destructive consequences ranging from identity theft to network infrastructure damage. BeEF, the Browser Exploitation Framework, allows taking advantage of these vulnerabilities to launch a diverse range of readily available attacks from within the browser context. Existing defensive approaches aimed at hardening network perimeters and detecting common threats based on traffic analysis have not been found successful in the context of BeEF detection. This paper presents a proof-of-concept approach to BeEF detection in its own operating environment – the web browser – based on global context monitoring, abstract syntax tree fingerprinting and real-time network traffic analysis

Кибербезопасность в образовательных сетях

The paper discusses the possible impact of digital space on a human, as well as human-related directions in cyber-security analysis in the education: levels of cyber-security, social engineering role in cyber-security of education, “cognitive vaccination”. “A Human” is considered in general meaning, mainly as a learner. The analysis is provided on the basis of experience of hybrid war in Ukraine that have demonstrated the change of the target of military operations from military personnel and critical infrastructure to a human in general. Young people are the vulnerable group that can be the main goal of cognitive operations in long-term perspective, and they are the weakest link of the System.У статті обговорюється можливий вплив цифрового простору на людину, а також пов'язані з людиною напрямки кібербезпеки в освіті: рівні кібербезпеки, роль соціального інжинірингу в кібербезпеці освіти, «когнітивна вакцинація». «Людина» розглядається в загальному значенні, головним чином як та, що навчається. Аналіз надається на основі досвіду гібридної війни в Україні, яка продемонструвала зміну цілей військових операцій з військовослужбовців та критичної інфраструктури на людину загалом. Молодь - це вразлива група, яка може бути основною метою таких операцій в довгостроковій перспективі, і вони є найслабшою ланкою системи.В документе обсуждается возможное влияние цифрового пространства на человека, а также связанные с ним направления в анализе кибербезопасности в образовании: уровни кибербезопасности, роль социальной инженерии в кибербезопасности образования, «когнитивная вакцинация». «Человек» рассматривается в общем смысле, в основном как ученик. Анализ представлен на основе опыта гибридной войны в Украине, которая продемонстрировала изменение цели военных действий с военного персонала и критической инфраструктуры на человека в целом. Молодые люди являются уязвимой группой, которая может быть главной целью когнитивных операций в долгосрочной перспективе, и они являются самым слабым звеном Систем

Making Code Voting Secure against Insider Threats using Unconditionally Secure MIX Schemes and Human PSMT Protocols

Code voting was introduced by Chaum as a solution for using a possibly infected-by-malware device to cast a vote in an electronic voting application. Chaum's work on code voting assumed voting codes are physically delivered to voters using the mail system, implicitly requiring to trust the mail system. This is not necessarily a valid assumption to make - especially if the mail system cannot be trusted. When conspiring with the recipient of the cast ballots, privacy is broken. It is clear to the public that when it comes to privacy, computers and "secure" communication over the Internet cannot fully be trusted. This emphasizes the importance of using: (1) Unconditional security for secure network communication. (2) Reduce reliance on untrusted computers. In this paper we explore how to remove the mail system trust assumption in code voting. We use PSMT protocols (SCN 2012) where with the help of visual aids, humans can carry out $\mod 10$ addition correctly with a 99\% degree of accuracy. We introduce an unconditionally secure MIX based on the combinatorics of set systems. Given that end users of our proposed voting scheme construction are humans we \emph{cannot use} classical Secure Multi Party Computation protocols. Our solutions are for both single and multi-seat elections achieving: \begin{enumerate}[i)] \item An anonymous and perfectly secure communication network secure against a $t$-bounded passive adversary used to deliver voting, \item The end step of the protocol can be handled by a human to evade the threat of malware. \end{enumerate} We do not focus on active adversaries