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@inproceedings{1382494,
author = {Ghafir, Ibrahim and Přenosil, Václav and Hammoudeh, Mohammad and Han, Liangxiu and Umar, Raza},
address = {Cambridge, United Kingdom},
booktitle = {Proceedings of International Conference on Future Networks and Distributed Systems},
doi = {http://dx.doi.org/10.1145/3102304.3102331},
keywords = {Cyber attacks; malware; advanced persistent threat; malicious SSL certificate; intrusion detection system.},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Cambridge, United Kingdom},
isbn = {978-1-4503-4844-7},
pages = {1-6},
publisher = {ACM Digital Library},
title = {Malicious SSL Certificate Detection: A Step Towards Advanced Persistent Threat Defence},
url = {https://dl.acm.org/citation.cfm?id=3102331&CFID=996318447&CFTOKEN=91066867},
year = {2017}
}
TY - JOUR
ID - 1382494
AU - Ghafir, Ibrahim - Přenosil, Václav - Hammoudeh, Mohammad - Han, Liangxiu - Umar, Raza
PY - 2017
TI - Malicious SSL Certificate Detection: A Step Towards Advanced Persistent Threat Defence
PB - ACM Digital Library
CY - Cambridge, United Kingdom
SN - 9781450348447
KW - Cyber attacks
KW - malware
KW - advanced persistent threat
KW - malicious SSL certificate
KW - intrusion detection system.
UR - https://dl.acm.org/citation.cfm?id=3102331&CFID=996318447&CFTOKEN=91066867
L2 - https://dl.acm.org/citation.cfm?id=3102331&CFID=996318447&CFTOKEN=91066867
N2 - Advanced Persistent Threat (APT) is one of the most serious types of cyber attacks, which is a new and more complex version of multistep attack. Within the APT life cycle, continuous communication between infected hosts and Command and Control (C&C) servers is maintained to instruct and guide the compromised machines. These communications are usually protected by Secure Sockets Layer (SSL) encryption, making it difficult to identify if the traffic directed to sites is malicious. This paper presents a Malicious SSL certificate Detection (MSSLD) module, which aims at detecting the APT C&C communications based on a blacklist of malicious SSL certificates. This blacklist consists of two forms of SSL certificates, the SHA1 fingerprints and the serial & subject, that are associated with malware and malicious activities. In this detection module, the network traffic is processed and all secure connections are filtered. The SSL certificate of each secure connection is then matched with the SSL certificate blacklist. This module was experimentally evaluated and the results show successful detection of malicious SSL certificates.
ER -
GHAFIR, Ibrahim, Václav PŘENOSIL, Mohammad HAMMOUDEH, Liangxiu HAN a Raza UMAR. Malicious SSL Certificate Detection: A Step Towards Advanced Persistent Threat Defence. In \textit{Proceedings of International Conference on Future Networks and Distributed Systems}. Cambridge, United Kingdom: ACM Digital Library, 2017, s.~1-6. ISBN~978-1-4503-4844-7. Dostupné z: https://dx.doi.org/10.1145/3102304.3102331.
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