This course is designed for professionals that are expected to do malware analysis. A skills focus enables the student to better absorb the subject matter and perform successfully on the job. This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics Reverse Engineering Malware.
Attendees to TN-999: Reverse Engineering Malware will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Toolkit and Lab Assembly
Malware Code and Behavioral Analysis Fundamentals
Malicious Static and Dynamic Code Analysis
Collecting/Probing System and Network Activities
Analysis of Malicious Document Files
Analyzing Protected Executables
Analyzing Web-Based Malware
DLL Construction and API Hooking
Common Windows Malware Characteristics in x86 Assembly
Unpacking Protected Malware
In-Depth Analysis of Malicious Browser Scripts, Flash Programs and Office
In-Depth Analysis of Malicious Executables
Windows x86 Assembly Code Concepts for Revers-Engineering Memory Forensics for Rootkit Analysis
Prerequisites:
Strong understanding of core systems and network concepts
Exposure to programming and assembly concepts
Comfortable with command line access
Comments
Latest comments from students
User: marcus.osullivan
Instructor comments: Good stuff. I like the beginning half where there was help from an additional instructor to facilitate fixing computer errors that inevitably popped up.
Facilities comments: The baby deer were neat! I like the resort.
Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use
The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries
Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.
By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.
This course provides security professionals with the skills and knowledge to perform vulnerability and compliance scanning of supported operating systems, devices, and applications. Students will construct custom scan policies for topology discovery, network vulnerability detection, credentialed patch audits, and compliance benchmarks, and discuss the underlying technologies utilized by the Nessus scanner.
This course provides students with the necessary information to prepare for the Tenable Certified Nessus Auditor (TCNA) exam.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Introduction to Nessus and Vulnerability Scanning
Nessus Installation and Administration
Basic Nessus Scan Operation
Nessus Scan Configuration and Policy Creation
Vulnerability Analysis and Reporting with Nessus
Advanced Scan Configuration and Policy Creation
Introduction to Compliance and Auditing
Nessus Auditing Features
Windows System Auditing
Unix System Auditing
Cisco IOS Auditing
Nessus Database Auditing
Nessus Content Auditing
Auditing to Industry Guidelines
Auditing to Federal Guidelines
Prerequisites:
Students should possess a basic understanding of TCP/IP networking, operating systems security, and common client/server applications.