Malware Analysis Course

Mastering malware analysis opens doors to exciting and critical roles in cybersecurity:

• High demand: As cyber threats increase in complexity, organizations desperately need skilled malware analysts.
• Cutting-edge field: Stay at the forefront of technology, constantly learning about new threats and defense techniques.
• Impactful work: Your skills directly contribute to protecting individuals, businesses, and national security.
• Lucrative career: Malware analysts are among the highest-paid professionals in cybersecurity.
• Diverse applications: Your skills will be valuable in various sectors, from finance and healthcare to government and technology.
• Intellectual challenge: Engage in a constant battle of wits against some of the world's most sophisticated cyber adversaries.
• Gateway to advanced roles: Malware analysis skills can lead to positions like Threat Hunter, Security Architect, or Chief Information Security Officer.

Our curriculum is designed to transform you into a proficient malware analyst:

• Fundamentals of Malware:
  • Types of malware (viruses, worms, trojans, ransomware, etc.)
  • Malware infection vectors and propagation methods
  • Historical and current malware trends
• Reverse Engineering Techniques:
  • Assembly language (x86 and x64)
  • Disassemblers and decompilers (IDA Pro, Ghidra)
  • Code analysis and algorithm recognition
• Static Analysis:
  • File format analysis (PE, ELF, Mach-O)
  • Identifying malicious indicators
  • String analysis and cryptography detection
• Dynamic Analysis:
  • Sandboxing techniques
  • Debugging malware (OllyDbg, WinDbg)
  • Monitoring system changes and network activity
• Advanced Malware Techniques:
  • Obfuscation and packing
  • Anti-analysis and anti-debugging tricks
  • Rootkits and bootkits
• Network Traffic Analysis:
  • Protocol analysis
  • Command and Control (C2) communication
  • Detecting data exfiltration
• Memory Forensics:
  • Volatile memory acquisition
  • Memory structure analysis
  • Detecting hidden processes and injected code
• Automated Malware Analysis:
  • Building custom analysis tools
  • Scripting for automated unpacking and deobfuscation
  • Integrating machine learning for malware classification
• Threat Intelligence:
  • Attribution techniques
  • APT group tactics, techniques, and procedures (TTPs)
  • Threat hunting methodologies
• Defensive Strategies:
  • Developing signatures and detection rules
  • Implementing malware defenses in enterprise environments
  • Incident response and malware outbreak containment

Using a SIEM (Security Information and Event Management) platform, it's possible to collect logs from the network and filter them for further analysis and identification of problematic patterns that pose a threat. SIEM can scan vast amounts of information and alert to dangers, comparing data groups where each individual might be considered normal, but when the platform performs its function and identifies certain patterns, it can alert to a threat.

The use of SIEM is common and highly sought after in the local and international cybersecurity industry among many organizations. In this course, we will learn practically about hackers' methods for planting malware, worms, Trojan horses, and any other malicious action that serves the purpose of infiltration to perform malicious acts in the digital space. Through learning Malware analysis and practical use of SIEM, one can gain diverse and practical knowledge to perform effective and important actions as cybersecurity professionals, thus bringing great value to defense efforts against hackers.

As part of our comprehensive Malware Analysis course, we dive deep into the use of Security Information and Event Management (SIEM) systems:

• SIEM Fundamentals:
  • Understanding SIEM architecture and components
  • Log collection and normalization techniques
  • Correlation rules and alert generation
• Threat Detection with SIEM:
  • Identifying malicious patterns across diverse data sources
  • Real-time monitoring and alerting
  • Threat hunting using SIEM data
• SIEM in Practice:
  • Hands-on experience with popular SIEM platforms
  • Developing custom correlation rules
  • Integrating SIEM with other security tools
• Advanced SIEM Techniques:
  • Machine learning and AI in SIEM
  • Behavioral analytics for anomaly detection
  • SOAR (Security Orchestration, Automation and Response) integration

By mastering SIEM alongside malware analysis, you'll be equipped to detect, analyze, and respond to sophisticated cyber threats in real time. This combination of skills is highly sought after in the cybersecurity industry, both locally and internationally, positioning you as a valuable asset in the fight against cyber criminals.

A basic level of computer literacy is expected, using a computer running Windows.

• Basic computer literacy, particularly with Windows operating systems.
• Fundamental understanding of network concepts.
• While no prior cybersecurity experience is required for this course, we strongly recommend enrolling in our full cybersecurity track for a comprehensive education in the field.