Latest Research

TrackBack Spam: Abuse and Prevention Contemporary blogs receive comments and TrackBacks, which result in cross-references between blogs. We conducted a longitudinal study of TrackBack spam, collecting and analyzing almost 10 million samples...

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XCS: cross channel scripting and its impact on web... We study the security of embedded web servers used in consumer electronic devices, such as security cameras and photo frames, and for IT infrastructure, such as wireless access points and lights-out management...

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Embedded Management Interfaces: Emerging Massive Insecurity Over the last few years, the number of devices that embed user-friendly management interfaces accessible from the network has drastically increased. These interfaces can be found on almost every kind of...

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Decaptcha: Breaking 75% of eBay Audio CAPTCHAs. CAPTCHA tests aim at preventing attackers from performing automatic registration. In this paper we show that our prototype Decaptcha is able to successfully break 75% of eBay audio captchas. We compare...

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Extending Anticipation Games with Location, Penalty... Over the last few years, attack graphs have became a well recognized tool to analyze and model complex network attack. The most advanced evolution of attack graphs, called anticipation games, is based...

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Apsm: Apache Status Monitor

Posted on : 28-05-2008 | By : Elie Bursztein | In : Software

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Apsm is a desktop application that gathers Apache status mod data to plot charts and compute statistics. Its goal is to help you analyze how the load of your HTTP servers evolves real time. It is written in Java so it should run on every OS.

Download it from Google Code

While fully functional, this is a very early release: I have spent only a day to code it. I will put more effort into it, if I see that it fulfill a need hence do not hesitate to provide your feedback :) As far as I know, this is the first software that use apache mod to make charts.

Here is some screenshot, If you want to see what it look like before using it:

Probabilistic Identification for Hard to Classify Protocol (Best Paper Award)

Posted on : 20-05-2008 | By : Elie Bursztein | In : Article, Publications

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Published at WISTP 2008 and Awarded Best Paper

With the growing use of protocols obfuscation techniques, protocol identification for Q.O.S enforcement, traffic prohibition, and intrusion detection has became complex task. This paper address this issue with a probabilistic identification analysis that combines multiples advanced identification techniques and returns an ordered list of probable protocols. It combines a payload analysis with a classifier based on several discriminators, including packet entropy and size.
We show with its implementation, that it overcomes the limitations of traditional port-based protocol identification when dealing with hard to classify protocol such as peer to peer protocols. We also details how it deals with tunneled session and covert channel.

Author Version (PDF)