# Malware Data Science | Attack Detection & Attribution

**URL:** <https://onehack.st/t/malware-data-science-attack-detection-attribution/104848>\
**Category:** Tutorials & Methods\
**Tags:** ebook\
**Created:** [September 5, 2020, 2:05pm UTC](https://onehack.st/t/malware-data-science-attack-detection-attribution/104848 "2020-09-05T14:05:40Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![TheStrength](https://onehack.st/user_avatar/onehack.st/thestrength/32/46753_2.png) [@TheStrength](https://onehack.st/u/TheStrength)\
**Post date:** [September 5, 2020, 2:05pm UTC](https://onehack.st/t/malware-data-science-attack-detection-attribution/104848/1 "2020-09-05T14:05:40Z")

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![image](https://onehack.st/uploads/default/original/3X/2/0/20a74c8a35ce5268906562eec45c84aea479aca4.jpeg)

**You’ll learn how to:**

- Analyze malware using static analysis

- Observe malware behavior using dynamic analysis

- Identify adversary groups through shared code analysis

- Catch 0-day vulnerabilities by building your own machine learning detector

- Measure malware detector accuracy

- Identify malware campaigns, trends, and relationships through data visualization

Go To **Base64** & Decode:

```
aHR0cHM6Ly9hbm9uZmlsZXMuY29tL05iMDZJN0Qwb2QvTWFsd2FyZV9EYXRhX1NjaWVuY2VfcGRm

```

**Happy learning!**

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<div class="post-metadata">

**Author:** ![Tejonhax](https://onehack.st/user_avatar/onehack.st/tejonhax/32/31317_2.png) [@Tejonhax](https://onehack.st/u/Tejonhax)\
**Post date:** [September 5, 2020, 7:29pm UTC](https://onehack.st/t/malware-data-science-attack-detection-attribution/104848/2 "2020-09-05T19:29:01Z")

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Great share. Thanks a lot