Malware Detection and Analysis with Python [2022, ENG] torrent

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Malware Detection and Analysis with Python

Год выпуска: 12/2022
Сайт производителя: Pluralsight
Автор: Cristian Pascariu
Продолжительность: 1h. 8m.
Тип раздаваемого материала: Видеоурок
Язык: Английский
Файлы примеров: присутствуют
Формат видео: MP4
Видео: MPEG4 Video (H264) 1280x720 30fps 168kbps
Аудио: AAC 48000Hz stereo 96kbps

Описание: Malware triage and classification can become time-consuming. This course will teach you automate malware analysis with Python.

What you'll learn
Organizations are faced with a high volume of threats on a daily basis, with defenders having a finite capacity to investigate these threats by performing manual analysis and correlation. In this course, Malware Detection and Analysis with Python, you’ll learn to automate malware triage, detection, and analysis. First, you’ll explore some of the core packages such as yara-python that facilitate triage and classification. Next, you’ll discover how to interact with 3rd-party services to establish the file disposition/reputation. Finally, you’ll learn how to extract artifacts and indicators from files to enable more in- depth analysis. When you’re finished with this course, you’ll have the skills and knowledge of python scripting and automation needed to uplift malware detection and analysis workflows and capabilities.
[spoiler="About the author"]

Cristian Pascariu
Cristian took part in auditing and implementation of infosec capabilities to uplift security posture. He managed codification efforts to extract indicators of compromise and created rules in the scope of defending against new emerging threats. He has also developed tools and scripts to overcome security gaps within the corporate network. Cristian has mentored L1 and L2 analysts to increase triage efficiency and combat new threats. He has experience in the field of Application Security and has provided Source Code Auditing for AAA game titles on mobile and PC platforms. Cristian has delivered Secure Coding training to development teams based on common SDLC pitfalls and industry best practices.
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[spoiler="Содержание"]
[spoiler="1. Course Overview (2 mins)"]
1. Course Overview (2 m)
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[spoiler="2. Detecting Malicious Files with Python (44 mins)"]
1. Introduction (3 m)
2. Performing File Classification with Python (4 m)
3. Demo: Performing File Classification with Python (8 m)
4. Working with File Hashes (4 m)
5. Demo: Creating File and Import Hash Signatures with Python (9 m)
6. Identify Malicious Patterns with Yara (5 m)
7. Integrate with the VirusTotal API (8 m)
8. Getting Familiar with Existing Solutions (3 m)
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[spoiler="3. Conducting Malware Analysis with Python (24 mins)"]
1. Introduction (0 m)
2. Analyzing Malicious Documents with Python (8 m)
3. Analyzing Packed Executables ( 5 m)
4. Demo: Detecting Packed Executables with Python (7 m)
5. Summary (4 m)
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[spoiler="Скриншоты"]

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