DocumentCode
1785279
Title
Host-based code injection attacks: A popular technique used by malware
Author
Barabosch, Thomas ; Gerhards-Padilla, Elmar
Author_Institution
Fraunhofer FKIE, Bonn, Germany
fYear
2014
fDate
28-30 Oct. 2014
Firstpage
8
Lastpage
17
Abstract
Common goals of malware authors are detection avoidance and gathering of critical information. There exist numerous techniques that help these actors to reach their goals. One especially popular technique is the Host-Based Code Injection Attack (HBCIA). According to our research 63.94% out of a malware set of 162850 samples use HBCIAs. The act of locally copying malicious code into a foreign process space and subsequently executing it is called a Host-Based Code Injection Attack. In this paper, we define HBCIAs and introduce a taxonomy for HBCIA algorithms. We show that a HBCIA algorithm can be broken down into three steps. In total there are four classes of HBCIA algorithms. Then we examine a huge set of malware samples and estimate the prevalence of HBCIA-employing malware and their target process distribution. Moreover, we analyse Intrusion Prevention System data and show that HBCIA-employing malware prefers network-related processes for its network communication. To the best of our knowledge, we are the first to thoroughly describe and formalize this phenomenon and give an estimation of its prevalence. Thus, we build a solid foundation for future work on this topic.
Keywords
codes; invasive software; HBCIA algorithms; HBCIA-employing malware; critical information; detection avoidance; foreign process space; host-based code injection attacks; intrusion prevention system data; malicious code; malware authors; network communication; network-related processes; solid foundation; target process distribution; Complexity theory; Debugging; Malware; Operating systems; Payloads;
fLanguage
English
Publisher
ieee
Conference_Titel
Malicious and Unwanted Software: The Americas (MALWARE), 2014 9th International Conference on
Conference_Location
Fajardo, PR
Print_ISBN
978-1-4799-7328-6
Type
conf
DOI
10.1109/MALWARE.2014.6999410
Filename
6999410
Link To Document