Course Malware Analysis: Static, Dynamic, and Memory Techniques

[protectaccount]

​

Unlock the world of malware analysis and become proficient in uncovering how malicious programs work. This course takes you from the foundations of reverse engineering to advanced techniques in static analysis, dynamic analysis, and memory forensics.

You will learn to:

Examine malware binaries without execution using static techniques.
Perform sandboxed execution to observe runtime behavior safely.
Use memory forensics to uncover hidden processes, injected code, and persistence mechanisms.
Analyze real-world malware samples step by step in a controlled lab environment.
Build a solid foundation for careers in cybersecurity, reverse engineering, and malware research .

By the end of this course, you’ll have hands-on experience dissecting malware like a professional analyst, using industry-standard tools and methodologies to understand, detect, and defend against cyber threats.Ideal for aspiring malware analysts, cybersecurity students, and professionals looking to strengthen their practical skills in malware research and digital forensics.

What You’ll Learn

Static Analysis
Explore PE files and executable structures
Identify strings, imports, and obfuscation techniques
Detect malware capabilities without running it
Dynamic Analysis
Safely execute malware in controlled environments
Monitor network traffic, file system changes, and registry modifications
Detect persistence techniques and payload delivery methods
Memory Forensics
Capture and analyze system memory images
Detect injected code, hidden processes, and rootkits
Use Volatility and other memory forensic frameworks for real-world cases
Hands-On Practice
Work with real-world malware samples step by step
Build your own safe malware analysis lab
Use industry-standard tools like IDA, Ghidra, x64dbg, Process Monitor, Wireshark, and Volatility

To see this hidden content, you need to "Reply & React" with one of the following reactions: Like

 

[fihagiv553]

w

 

[LuckyStrike47]

khgf

 

[noah69]

Going see

 

[meca3019]

thank'you

 

[NullSec_Praetorian]

dh

 

[NullSec_Praetorian]

r