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0-knowledge fuzzing

The document discusses various fuzzing techniques including dumb fuzzing, smart fuzzing, evolutionary fuzzing, using cyclomatic complexity and dominator trees to guide fuzzing, data tainting to track values through a program, and in-memory fuzzing to mutate program inputs on the fly. It also covers using code coverage scores and halting conditions to evaluate generated test cases and find bugs. The speaker hopes to convey these fuzzing ideas through pictures rather than traditional presentation elements. - Download as a PPTX, PDF or view online for free



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0-knowledge fuzzing

https://www.slideshare.net/cblichmann/0knowledge-fuzzing-3856153

The document discusses various fuzzing techniques including dumb fuzzing, smart fuzzing, evolutionary fuzzing, using cyclomatic complexity and dominator trees to guide fuzzing, data tainting to track values through a program, and in-memory fuzzing to mutate program inputs on the fly. It also covers using code coverage scores and halting conditions to evaluate generated test cases and find bugs. The speaker hopes to convey these fuzzing ideas through pictures rather than traditional presentation elements. - Download as a PPTX, PDF or view online for free



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https://www.slideshare.net/cblichmann/0knowledge-fuzzing-3856153

0-knowledge fuzzing

The document discusses various fuzzing techniques including dumb fuzzing, smart fuzzing, evolutionary fuzzing, using cyclomatic complexity and dominator trees to guide fuzzing, data tainting to track values through a program, and in-memory fuzzing to mutate program inputs on the fly. It also covers using code coverage scores and halting conditions to evaluate generated test cases and find bugs. The speaker hopes to convey these fuzzing ideas through pictures rather than traditional presentation elements. - Download as a PPTX, PDF or view online for free

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      The document discusses various fuzzing techniques including dumb fuzzing, smart fuzzing, evolutionary fuzzing, using cyclomatic complexity and dominator trees to guide fuzzing, data tainting to track values through a program, and in-memory fuzzing to mutate program inputs on the fly. It also covers using code coverage scores and halting conditions to evaluate generated test cases and find bugs. The speaker hopes to convey these fuzzing ideas through pictures rather than traditional presentation elements. - Download as a PPTX, PDF or view online for free

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      The document discusses various fuzzing techniques including dumb fuzzing, smart fuzzing, evolutionary fuzzing, using cyclomatic complexity and dominator trees to guide fuzzing, data tainting to track values through a program, and in-memory fuzzing to mutate program inputs on the fly. It also covers using code coverage scores and halting conditions to evaluate generated test cases and find bugs. The speaker hopes to convey these fuzzing ideas through pictures rather than traditional presentation elements. - Download as a PPTX, PDF or view online for free
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