Rezultati pretraživanja
  1. 10. lis 2019.

    Fuzzing closed source applications using by

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  2. 11. pro 2019.

    Finding Vulnerabilities in Closed Source Windows Software by Applying Fuzzing

  3. 16. sij
  4. 20. pro 2019.

    Qt Gif parsing null deref rediscovered with

  5. 6. stu 2019.
  6. 10. lis 2019.
  7. 19. ruj 2019.

    A set of helpers and examples to fuzz Win32 binaries with AFL++ QEMU

  8. 27. kol 2019.

    Some bugs I've discovered recently with . It's in 3rd party image viewer on windows: ACDSsee, XnView, FastStone and I IrfanView. There are 20+ CVEids but It seems it's not so simple to build least one exploit on top of it

  9. added option to AFL_Runner.py to first run winafl with drrun.exe in debug mode to generate log.

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  10. Releasing a quick and dirty script i coded, afl_runner.py . winafl takes lot of arguments and a user might make some mistake in passing parameters. with this script, you can configure different parameter once and then run it when you want.

  11. The hardest part in fuzzing with is writing a harness. Rest win AFL will take care 😎

  12. 26. velj 2019.
  13. 22. velj 2019.

    Extracting a 19 Year Old Code Execution from WinRAR - Check Point Research

  14. 21. velj 2019.

    😯Extracting a 19 Year Old Code Execution from -> 👉In this article, we tell the story of how we found a logical bug using the fuzzer and exploited it in to gain full control over a victim’s computer.

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  15. 20. velj 2019.

    *UNREGISTERED VERSION* aka 99% of winrar installs 🤣

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  16. 3. sij 2019.

    Tra il 2016 e il 2018 le vulnerabilità scoperte sono raddoppiate. Secondo uno studio di ciò può essere dovuto alla crescente popolarità assunta dai "". Interessante esperimento su Reader.

  17. 23. pro 2018.

    My first DLL reversing, writing harness for , wish me some crashes

  18. 19. pro 2018.

    53 new critical vulnerabilities discovered thanks to . experts performed a 50-day experiment with . Automatic vulnerability-finding tools use is increasing against threats

  19. 16. pro 2018.

    Excellent research article on finding 50 Adobe Reader vulnerabilities in 50 days using using automatic vulnerability finding tools (also known as "fuzzers).

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