Rezultati pretraživanja
  1. 13. ruj 2019.

    Just a little task that enhances my workflow of creating rules: It uses and formats it a little bit with AWK

    1 reply 12 proslijeđenih tweetova 42 korisnika označavaju da im se sviđa
  2. 8. ruj 2019.

    The team release , a machine learning model that automatically ranks strings to aid analysis.

    12 proslijeđenih tweetova 29 korisnika označava da im se sviđa
  3. 7. ruj 2019.

    What if you could magically rank strings based on their maliciousness? Now you can: 🧙‍♂️ We open sourced today at . Built for the blue team, probably useful for red 😉 📺 WATCH 's talk:

    6 replies 136 proslijeđenih tweetova 333 korisnika označavaju da im se sviđa
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  4. 8. ruj 2019.

    open-sourced (an automatic ranking tool for strings found in malware samples)

    3 proslijeđena tweeta 6 korisnika označava da im se sviđa
  5. 7. ruj 2019.

    Thanks for sharing this! Very excited to release today with and at . Check it out

    What if you could magically rank strings based on their maliciousness? Now you can: 🧙‍♂️ We open sourced today at . Built for the blue team, probably useful for red 😉 📺 WATCH 's talk:
    Prikaži ovu nit
    2 proslijeđena tweeta 8 korisnika označava da im se sviđa
  6. 8. ruj 2019.

    Open Sourcing StringSifter

  7. 8. ruj 2019.
    Odgovor korisniku/ci

    Very curious to see how VT's "interesting strings" overlaps with rankings in scenarios where you can use both. I'm not up to speed on how VTi's works under the hood. Something like: static detection ratio x string frequency/prevalence ?

    1 reply 2 korisnika označavaju da im se sviđa
  8. 9. ruj 2019.

    Our Data Science and FLARE teams open sourced , a tool that automatically ranks strings based on relevance for analysis at . >> Blog: >> Code: >> Slides:

    12 proslijeđenih tweetova 37 korisnika označava da im se sviđa
  9. 16. srp 2019.
    Odgovor korisnicima

    It looks like & crew were accepted a few places (including ) to share more. I'm expecting a public tool release too! 🤞

    1 reply 1 proslijeđeni tweet 7 korisnika označava da im se sviđa
  10. 8. ruj 2019.

    publicly releases their utility that, using machine learning, identifies and prioritizes strings according to their relevance for malware analysis

    2 korisnika označavaju da im se sviđa
  11. 21. lis 2019.

    | Don't miss , , , and Jay Gibble at Camlis as they share their findings on , which is an open source based tool that automatically ranks strings. >> More info:

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