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İçerik Black Hat and Jeff Moss tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Black Hat and Jeff Moss veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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Chris Eng: Breaking Crypto Without Keys: Analyzing Data in Web Applications

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Manage episode 153984322 series 1109074
İçerik Black Hat and Jeff Moss tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Black Hat and Jeff Moss veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
How often have you encountered random-looking cookies or other data in a web application that didn‚t easily decode to human readable text? What did you do next-ignore it and move on, assuming that it was encrypted data and that brute forcing the key would be infeasible? At the end of the test, when the application developer informed you that they were using 3DES with keys rotating hourly, did you tell them they were doing a good job, secretly relieved that you didn't waste your time trying to break it? This presentation will discuss penetration testing techniques for analyzing unknown data in web applications and demonstrate how encrypted data can be compromised through pattern recognition and only a high-level understanding of cryptography concepts. Techniques will be illustrated through a series of detailed, step-by-step case studies drawn from the presenter‚s penetration testing experience. This is not a talk on brute forcing encryption keys, nor is it a discussion of weaknesses in cryptographic algorithms. Rather, the case studies will demonstrate how encryption mechanisms in web applications were compromised without ever identifying the keys or even the underlying ciphers."
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iconPaylaş
 
Manage episode 153984322 series 1109074
İçerik Black Hat and Jeff Moss tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Black Hat and Jeff Moss veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
How often have you encountered random-looking cookies or other data in a web application that didn‚t easily decode to human readable text? What did you do next-ignore it and move on, assuming that it was encrypted data and that brute forcing the key would be infeasible? At the end of the test, when the application developer informed you that they were using 3DES with keys rotating hourly, did you tell them they were doing a good job, secretly relieved that you didn't waste your time trying to break it? This presentation will discuss penetration testing techniques for analyzing unknown data in web applications and demonstrate how encrypted data can be compromised through pattern recognition and only a high-level understanding of cryptography concepts. Techniques will be illustrated through a series of detailed, step-by-step case studies drawn from the presenter‚s penetration testing experience. This is not a talk on brute forcing encryption keys, nor is it a discussion of weaknesses in cryptographic algorithms. Rather, the case studies will demonstrate how encryption mechanisms in web applications were compromised without ever identifying the keys or even the underlying ciphers."
  continue reading

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