A Lightweight Adaptable DNS Channel for Covert Data Transmission

Encrypted and Covert DNS Queries for Botnets: Challenges and Countermeasures

There is a continuous increase in the sophistication that modern malware exercise in order to bypass the deployed security mechanisms. A typical approach to evade the identification and potential takedown of a botnet command and control server is domain fluxing through the use of Domain Generation Algorithms (DGAs). These algorithms produce a vast amount of domain names that the infected device tries to communicate with to find the C&C server, yet only a small fragment of them is actually registered. This allows the botmaster to pivot the control and make the work of seizing the botnet control…

利用局部敏感哈希改进现实世界恶意软件的DNS隐蔽通道识别

Improving the Identification of Real-world Malware's DNS Covert Channels Using Locality Sensitive Hashing

本文提出利用局部敏感哈希改进恶意软件DNS隐蔽通道识别，通过统计相似性特征和随机森林分类器提升检测准确性和鲁棒性。

Detection of Malicious and Low Throughput Data Exfiltration Over the DNS Protocol

In the presence of security countermeasures, a malware designed for data exfiltration must do so using a covert channel to achieve its goal. Among existing covert channels stands the domain name system (DNS) protocol. Although the detection of covert channels over the DNS has been thoroughly studied in the last decade, previous research dealt with a specific subclass of covert channels, namely DNS tunneling. While the importance of tunneling detection is not undermined, an entire class of low throughput DNS exfiltration malware remained overlooked. The goal of this study is to propose a method…

Browser-Based Covert Data Exfiltration

Current best practices heavily control user permissions on network systems. This effectively mitigates many insider threats regarding the collection and exfiltration of data. Many methods of covert communication involve crafting custom packets, typically requiring both the necessary software and elevated privileges on the system. By exploiting the functionality of a browser, covert channels for data exfiltration may be created without additional software or user privileges. This paper explores novel methods of using a browser's JavaScript engine to exfiltrate documents over the Domain Name Sys…

DNS Covert Channel Detection via Behavioral Analysis: a Machine Learning Approach

Detecting covert channels among legitimate traffic represents a severe challenge due to the high heterogeneity of networks. Therefore, we propose an effective covert channel detection method, based on the analysis of DNS network data passively extracted from a network monitoring system. The framework is based on a machine learning module and on the extraction of specific anomaly indicators able to describe the problem at hand. The contribution of this paper is two-fold: (i) the machine learning models encompass network profiles tailored to the network users, and not to the single query events,…

A Covert Data Transport Protocol

Both enterprise and national firewalls filter network connections. For data forensics and botnet removal applications, it is important to establish the information source. In this paper, we describe a data transport layer which allows a client to transfer encrypted data that provides no discernible information regarding the data source. We use a domain generation algorithm (DGA) to encode AES encrypted data into domain names that current tools are unable to reliably differentiate from valid domain names. The domain names are registered using (free) dynamic DNS services. The data transmission f…