Cheating on Windows, Fuzzing and Buffer Overflow: Attack Scenarios and Protection Methods

Cybercriminals are constantly developing more sophisticated ways to hack into systems. According to an April 2021 report, between the third and fourth quarters of 2020 : Microsoft Office malware increased by 199%. Account hijackings are targeted at Office 365 accounts. Exploits targeting new vulnerabilities meanwhile shot up 100% in Q4. Targeted attacks increased 43%. To protect organisations and people from cybercrime, we have a duty to continuously level up our skills. That’s why we created this advanced cybersecurity training: “Cheating on Windows, Fuzzing and Buffer Overflow: Attack Scenarios and Protection Methods.” This advanced training is a recorded lesson extracted from our AWSC 2020 edition. In just 2 hours, you’ll learn how to identify buffer-overflow vulnerabilities in Windows applications, exploit remote code execution vulnerability, and use various modern mitigations for vulnerabilities. In short, you will learn how to apply additional mitigations against software attacks in a short time. We highly recommend this advanced training to cybersecurity specialists, penetration testers, offensive security specialists, and any cybersecurity expert wanting to add to their repertoire of skills and boost their career.
Course Syllabus & Modules
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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
CQURE
Cheating on Windows, Fuzzing and Buffer Overflow: Attack Scenarios and Protection Methods
8 Structured Modules / Lessons
1 Verified Assets (558 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:
- CQURE
- Syllabus Topics:
- 8
- Download Files:
- 1
- Total Archive Size:
- 558 MB
- Formats:
- ZIP
- Password:
- cyberlabarchive