Course Overview:

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

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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.


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Welcome to TechNow! The Leader in Information Security Training & Computer Training.

The world of information security and computer training is ever changing.  The techniques and systems continue to evolve and we must stay current and diligent.  To do this, you can count on TechNow®…the leader in cybersecurity training and computer system training.

TechNow® has been training the leaders in the computer community for many years.  We provide training for students in a number of areas.  Our cybersecurity trainings include popular courses like D0D 8140, Security , CISM, CISSP, CEH,CCNA, and more.  With over 34 years of experience, we’re able to provide you with unmatched training and certification programs.

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    Course Overview:

    Red Hat System Administration: Linux Automation with Ansible is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration.  TechNow’s  Ansible course facilitates the dynamic IT infrastructure through automation.

    This course also supports DevOps practices through Ansible playbooks automating workflows.  TechNow has operated Automated Unix and Linux environment for over 35 years and brings this field experience to the classroom utilizing ansible and discussing its impact on: Infrastructure (Linux, Windows, network devices), Cloud automation (AWS and Azure), Application deployment, Security & compliance, and CI/CD pipelines.

    This course also ties in nicely with the TechNow course CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration which provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1).

    Dates/Locations:

    No Events

    Duration: 5 days

    Course Objectives:

    • An introduction to Ansible
    • Install and configure Ansible development tools in VS Code and configure Ansible setting
    • Create and update inventories of managed hosts and manage connections to them
    • Automate administration tasks with Ansible Playbooks
    • Write effective playbooks at scale
    • Protect sensitive data used by Ansible Automation Platform with Ansible Vault
    • Reuse code and simplify playbook development with Ansible Roles and Ansible Content Collections
    • Developing Automation Content: Variables, Task Control, Deploying Files
    • Developing Automation Content at Scale
    • Reusing Code with Ansible Roles and Content Collections
    • Automate Linux Administration Tasks

    Prerequisites:

    Comments

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    Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

    The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

    Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

    By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

     

    Course Outline: 

    01. Offensive AI and AI System Hacking Methodology

    02. AI Reconnaissance and Attack Surface Mapping

    03. AI Vulnerability Scanning and Fuzzing

    04. Prompt Injection and LLM Application Attacks

    05. Adversarial Machine Learning and Model Privacy Attacks

    06. Data and Training Pipeline Attacks

    07. Agentic AI and Model-to-Model Attacks

    08. AI Infrastructure and Supply Chain Attacks

    09. AI Security Testing, Evaluation, and Hardening

    10. AI Incident Response and Forensics 

     

    Prerequisites: 

    TN-412: Artificial Intelligence Essentials (AI|E) 

     

    Dates/Locations:

    No Events