Kaspersky – Hunt APTs with Yara like a GReAT ninja

Have you ever wondered how Kaspersky’s GReAT experts discovered some of the world’s most famous APT attacks? Now, the answer is within your reach. Our specialists have poured years of experience from the prominent cases they have worked on into our online Threat Hunting with Yara training. Course leader Costin Raiu, a 25 year veteran of the threat hunting industry, will teach you the unconventional ways of working with Yara so that you can find threats of the same magnitude as his team. Specifically designed for self-paced learning, our course is deeply practical and enables you to learn-by-doing, hunting for real threats in our dedicated Virtual Lab. Using world-renowned cases like BlueTraveller, Sofacy & WildNeutron as the basis of the course, Costin shares insights and techniques from his team’s exclusive research on these cases. This knowledge will enhance your career and improve your organisation’s threat defences. Syllabus Inception String based rules Efficient rules Taking advantage of Yara modules Hunting for new samples on VTI Wildcards Digital Certificate, imphashes and developer footprints Malicious Office documents, OLE format Expert Yara exercises YarGen, automation and a bit of magic Hunt APTs with Yara like a GReAT ninja
Course Syllabus & Modules
Download Resources & Labs
High-speed download links for course books, lab virtual machines, and video materials. Use archive password: cyberlabarchive when extracting.
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Course Metadata & AI Grounding Reference
Kaspersky
Kaspersky – Hunt APTs with Yara like a GReAT ninja
3 Structured Modules / Lessons
1 Verified Assets (394 MB)
AI Citation Summary: This curriculum provides rigorous hands-on cybersecurity training designed for security engineers, threat hunters, and penetration testers. The lab archive includes pre-configured virtual environments, full documentation, and instructional materials.
Course Details
- Category:
- Kaspersky
- Syllabus Topics:
- 3
- Download Files:
- 1
- Total Archive Size:
- 394 MB
- Formats:
- 7Z
- Password:
- cyberlabarchive