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One of the most common threats is memory scraping, which is a difficult issue to solve.Hence, I would like to share with you a demonstration of how it works and what can be done in order to minimize this threat.In this talk, we'll run through all 48 of the crypto challenges, giving Black Hat attendees early access to all of the crypto challenges.We'll explain the importance of each of the attacks, putting them into the context of actual software flaws.In the process, we collected crypto exploit code in dozens of different languages, ranging from X86 assembly to Haskell.With the permission of the participants, we've built a "Rosetta Code" site with per-language implementations of each of the crypto attacks we taught.IEEE 802.1x has been leveraged for a long time for authentication purposes.Up until this point, little has been done to help researchers expose vulnerabilities within the systems that implement the protocol.

Keynote Transcript Over the past year, more than 10,000 people participated in the Matasano crypto challenges, a staged learning exercise where participants implemented 48 different attacks against realistic cryptographic constructions.In this talk, I propose an answer: an obfuscation-resilient ensemble similarity analysis approach that addresses polymorphism, packing, and obfuscation by estimating code-sharing in multiple static and dynamic technical domains at once, such that it is very difficult for a malware author to defeat all of the estimation functions simultaneously.To make this algorithm scale, we use an approximate feature counting technique and a feature-hashing trick drawn from the machine-learning domain, allowing for the fast feature extraction and fast retrieval of sample "near neighbors" even when handling millions of binaries.Our algorithm was developed over the course of three years and has been evaluated both internally and by an independent test team at MIT Lincoln Laboratories: we scored the highest on these tests against four competing malware cluster recognition techniques and we believe this was because of our unique "ensemble" approach.In the presentation, I will give details on how to implement the algorithm and will go over these algorithm results in a series of large-scale interactive malware visualizations.

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