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Shawn Embleton, Sherri Sparks & Ryan Cunningham: "Sidewinder": An Evolutionary Guidance System for Malicious Input Crafting

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Content provided by Black Hat and Jeff Moss. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Black Hat and Jeff Moss or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Black box testing techniques like fuzzing and fault injection are responsible for discovering a large percentage of reported software vulnerabilities. These techniques typically operate by injecting random or semi random input into a program and then monitoring its output for unexpected behavior. While their high potential for automation makes them desirable, they frequently suffer from a lack of "intelligence". That is, the random nature of input space exploration makes the probability of discovering vulnerabilities highly non-deterministic. Black box inputs are similar to unguided missiles. In this talk, we will discuss how we might turn these inputs into guided missiles by intelligently driving their selection using ideas borrowed from probability theory and evolutionary biology.
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86 episoade

Artwork
iconDistribuie
 
Manage episode 153984291 series 1109074
Content provided by Black Hat and Jeff Moss. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Black Hat and Jeff Moss or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Black box testing techniques like fuzzing and fault injection are responsible for discovering a large percentage of reported software vulnerabilities. These techniques typically operate by injecting random or semi random input into a program and then monitoring its output for unexpected behavior. While their high potential for automation makes them desirable, they frequently suffer from a lack of "intelligence". That is, the random nature of input space exploration makes the probability of discovering vulnerabilities highly non-deterministic. Black box inputs are similar to unguided missiles. In this talk, we will discuss how we might turn these inputs into guided missiles by intelligently driving their selection using ideas borrowed from probability theory and evolutionary biology.
  continue reading

86 episoade

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