Phishing Attacks Rising, But Dollar Losses Down
IEEE Security and Privacy
Detection of phishing webpages based on visual similarity
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding the network-level behavior of spammers
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Cantina: a content-based approach to detecting phishing web sites
Proceedings of the 16th international conference on World Wide Web
Learning to detect phishing emails
Proceedings of the 16th international conference on World Wide Web
The web is smaller than it seems
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
A framework for detection and measurement of phishing attacks
Proceedings of the 2007 ACM workshop on Recurring malcode
Filtering spam with behavioral blacklisting
Proceedings of the 14th ACM conference on Computer and communications security
Spamscatter: characterizing internet scam hosting infrastructure
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
On the Effectiveness of Techniques to Detect Phishing Sites
DIMVA '07 Proceedings of the 4th international conference on Detection of Intrusions and Malware, and Vulnerability Assessment
There is no free phish: an analysis of "free" and live phishing kits
WOOT'08 Proceedings of the 2nd conference on USENIX Workshop on offensive technologies
Identifying suspicious URLs: an application of large-scale online learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A Case Study on Asprox Infection Dynamics
DIMVA '09 Proceedings of the 6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment
Phishnet: predictive blacklisting to detect phishing attacks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Detecting algorithmically generated malicious domain names
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
An analysis of rogue AV campaigns
RAID'10 Proceedings of the 13th international conference on Recent advances in intrusion detection
Learning to detect malicious URLs
ACM Transactions on Intelligent Systems and Technology (TIST)
HARMUR: storing and analyzing historic data on malicious domains
Proceedings of the First Workshop on Building Analysis Datasets and Gathering Experience Returns for Security
Detecting malicious web links and identifying their attack types
WebApps'11 Proceedings of the 2nd USENIX conference on Web application development
Evaluating a semisupervised approach to phishing url identification in a realistic scenario
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Identifying botnets by capturing group activities in DNS traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
Colonel blotto in the phishing war
GameSec'11 Proceedings of the Second international conference on Decision and Game Theory for Security
Taster's choice: a comparative analysis of spam feeds
Proceedings of the 2012 ACM conference on Internet measurement conference
Behavioral analysis of botnets for threat intelligence
Information Systems and e-Business Management
Detecting algorithmically generated domain-flux attacks with DNS traffic analysis
IEEE/ACM Transactions on Networking (TON)
Fluxing botnet command and control channels with URL shortening services
Computer Communications
Two years of short URLs internet measurement: security threats and countermeasures
Proceedings of the 22nd international conference on World Wide Web
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We develop new techniques to map botnet membership using traces of spam email. To group bots into botnets we look for multiple bots participating in the same spam email campaign. We have applied our technique against a trace of spam email from Hotmail ...