Visible to the public Analysis of a #x201c;/0 #x201d; Stealth Scan From a Botnet

TitleAnalysis of a #x201c;/0 #x201d; Stealth Scan From a Botnet
Publication TypeJournal Article
Year of Publication2015
AuthorsDainotti, A., King, A., Claffy, K., Papale, F., Pescape, A.
JournalNetworking, IEEE/ACM Transactions on
Volume23
Pagination341-354
Date PublishedApril
ISSN1063-6692
Keywordsanimation, Botnet, Communication system security, darknet, Geology, Internet, Internet background radiation, Internet telephony, IP networks, network probing, Network Telescope, Ports (Computers), scanning, Servers, Telescopes, VoIP
Abstract

Botnets are the most common vehicle of cyber-criminal activity. They are used for spamming, phishing, denial-of-service attacks, brute-force cracking, stealing private information, and cyber warfare. Botnets carry out network scans for several reasons, including searching for vulnerable machines to infect and recruit into the botnet, probing networks for enumeration or penetration, etc. We present the measurement and analysis of a horizontal scan of the entire IPv4 address space conducted by the Sality botnet in February 2011. This 12-day scan originated from approximately 3 million distinct IP addresses and used a heavily coordinated and unusually covert scanning strategy to try to discover and compromise VoIP-related (SIP server) infrastructure. We observed this event through the UCSD Network Telescope, a /8 darknet continuously receiving large amounts of unsolicited traffic, and we correlate this traffic data with other public sources of data to validate our inferences. Sality is one of the largest botnets ever identified by researchers. Its behavior represents ominous advances in the evolution of modern malware: the use of more sophisticated stealth scanning strategies by millions of coordinated bots, targeting critical voice communications infrastructure. This paper offers a detailed dissection of the botnet's scanning behavior, including general methods to correlate, visualize, and extrapolate botnet behavior across the global Internet.

DOI10.1109/TNET.2013.2297678
Citation Key6717049