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32 items tagged "evolution"
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evolution game [+],
evolution 1 [+],
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5:55
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Packet Storm Security Advisories
Secunia Security Advisory - A weakness has been reported in Evolution, which can be exploited by malicious people to disclose potentially sensitive information.
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12:00
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Hack a Day
Can Super Mario teach you to think? That’s the idea behind using a simple version of the game to teach artificial intelligence. [Oddball] calls this The Mario Genome and wrote at program that can take on the level with just two controls, right and jump. He gave the script 1000 Marios to run through the [...]
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21:02
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SecDocs
Authors:
Peter Silberman Ero Carrera Tags:
malware malware analysis Event:
Black Hat EU 2010 Abstract: Over the last few years malware has gravitated towards a few major families rather than the single or small-sized families of the past. Families of hundreds or even thousands are not uncommon. These families grouped together demonstrate the evolution of malware over time. This evolution may originate in simple bugfixes and small enhancements or entirely new sets of functionality added over an existing code base. Studying the ties between families, both within and across families, provides us with a context in which to study the development pace and technical improvements as they appear. We will examine how families grow and change amongst the mass malware and targeted attack malware. While examining how families grow and change we will attempt to identify features across all families that are both common and implemented in the same way. This could lead to quick static identification of malware features as well as signaturing these features. We hope to show how multiple families are derived from one code base, we will not just address mass malware, targeted malware but also rootkits and code sharing amongst them.
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17:12
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SecDocs
Authors:
Peter Silberman Ero Carrera Tags:
malware malware analysis Event:
Black Hat EU 2010 Abstract: Over the last few years malware has gravitated towards a few major families rather than the single or small-sized families of the past. Families of hundreds or even thousands are not uncommon. These families grouped together demonstrate the evolution of malware over time. This evolution may originate in simple bugfixes and small enhancements or entirely new sets of functionality added over an existing code base. Studying the ties between families, both within and across families, provides us with a context in which to study the development pace and technical improvements as they appear. We will examine how families grow and change amongst the mass malware and targeted attack malware. While examining how families grow and change we will attempt to identify features across all families that are both common and implemented in the same way. This could lead to quick static identification of malware features as well as signaturing these features. We hope to show how multiple families are derived from one code base, we will not just address mass malware, targeted malware but also rootkits and code sharing amongst them.