OS Fingerprinting: New Techniques and a Study of Information Gain and Obfuscation
June 24, 2017 Β· Declared Dead Β· π IEEE Conference on Communications and Network Security
"No code URL or promise found in abstract"
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Authors
Blake Anderson, David McGrew
arXiv ID
1706.08003
Category
cs.CR: Cryptography & Security
Citations
42
Venue
IEEE Conference on Communications and Network Security
Last Checked
6 months ago
Abstract
Passive operating system fingerprinting reveals valuable information to the defenders of heterogeneous private networks; at the same time, attackers can use fingerprinting to reconnoiter networks, so defenders need obfuscation techniques to foil them. We present an effective approach for passive fingerprinting that uses data features from TLS as well as the TCP/IP and HTTP protocols in a multi-session model, which is applicable whenever several sessions can be observed within a time window. In experiments on a real-world private network, our approach identified operating system major and minor versions with accuracies of 99.4% and 97.5%, respectively, and provided significant information gain. We also show that obfuscation strategies can often be defeated due to the difficulty of manipulating data features from all protocols, especially TLS, by studying how obfuscation affects our fingerprinting system. Because devices running unpatched operating systems on private networks create significant vulnerabilities, their detection is critical; our approach achieved over 98% accuracy at this important goal.
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