Today, 05:34 | view 👀:0 | 🙍 oneddl | redaktor: Baturi | Rating👍:

Reverse Engineering & Malware Analysis Mastery

Name: Reverse Engineering &amp; Malware Analysis Mastery
Author: Baturi

Reverse Engineering & Malware Analysis Mastery

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Reverse Engineering & Malware Analysis Mastery, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 9/2026
Created by Bayt Al Hikmah
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 114 Lectures ( 25h 29m ) | Size: 1.4 GB

What you'll learn

⚡ Read x86-64 assembly straight from compiler output — registers, stack frames, calling conventions, control flow, and optimization artifacts
⚡ Dissect ELF and PE binary formats by hand: headers, sections, program headers, relocations, the PLT/GOT, and stripped-symbol recovery.
⚡ Navigate Ghidra and radare2 like a professional analyst — decompiler cross-checking, function renaming taxonomy, and CLI-driven triage at scale.
⚡ Validate binary behavior safely using GDB, strace, ltrace, filesystem diffing, and isolated network sinkholes — with zero unsafe live-malware execution.
⚡ Recognize defensive malware behavior patterns — persistence, injection concepts, packing/entropy signals, and anti-analysis checks.
⚡ Engineer tested YARA rules and Sigma detections, complete with false-positive test matrices and ATT&CK technique mapping.
⚡ Automate triage pipelines in Python — batch Ghidra headless analysis, JSON Schema–validated evidence, SQLite indexing, and CI-gated detection-as-code.
⚡ Operate a production-style sandbox architecture: disposable workers, resource limits, observability (metrics, structured logs, trace IDs), and Kubernetes/GitOps
⚡ Govern evidence like a regulated analyst — GDPR-aware classification, DORA resilience packs, NIS2 incident-reporting inputs, and guardrailed local AI assistance
⚡ Deliver a full capstone: a sovereign, offline-capable analysis platform with signed evidence bundles, STIX-style intelligence, and executive report

Requirements

❗ Knowledge: Basic comfort with a terminal (running commands, navigating folders). No prior assembly, reverse engineering, or malware analysis experience required — Module 1–2 build the mechanical foundation from zero. Any prior programming exposure (Python especially) helps in Modules 9–12 but isn't mandatory; scripts are explained line by line. No security certifications or prior SOC/IR experience needed. Software (all free/open-source): A computer running Linux (native or via VM) — the course's official environment. Windows/macOS users can follow along using the provided VM/container images. Git, Docker or Podman, Python 3.10+. Ghidra, radare2/Cutter, GDB, binutils (readelf, objdump, nm), YARA, and the coursectl lab harness (provided open-source scaffold). Optional: Kubernetes (Kind) and kubectl for the Module 10 orchestration labs — a lightweight local cluster is all that's needed. Hardware: 40GB+ free disk space, virtualization enabled in firmware (VT-x/AMD-V) for isolated sandbox labs. No physical malware samples, no real customer data, and no internet-exposed execution required — every lab uses instructor-provided benign fixtures and a network-isolated runtime by design.

Description

This course contains the use of artificial intelligence.
We only charge a fee solely for the time invested in building this comprehensive curriculum.
The "I Ran Strings and Called It a Day" Problem
There's a specific kind of false confidence in security work: someone opens a binary in a disassembler, scrolls around for ten minutes, spots a suspicious-looking string, and writes "malicious" in a ticket. It feels like analysis. It isn't. Real incident response, threat research, and detection engineering require something much more rigorous — the ability to read assembly-level behavior, validate it dynamically without guessing, and turn that evidence into a detection rule that will actually hold up against a false-positive test matrix and an auditor's questions.
That gap between "I poked around in a tool" and "I can prove, with reproducible evidence, exactly what this binary does and why my detection fires on it" is what this course is built to close. This is not a course about writing malware. It is a defensive, evidence-first curriculum: every lab uses benign fixtures, controlled samples, and network-isolated sandboxes, and every technique is taught in service of analysis, detection, and governance — never offensive tooling.
The Solution: 100 Labs, One Reproducible Lab Contract
Every single lab in this course follows the same Zero-Failure harness: a pre-flight check, an automatic backup, a scripted rollback, a verification step, and an evidence export — all run through a provided open-source scaffold called coursectl. That means you can never truly break your environment, and every finding you produce is automatically hashed, timestamped, and stored as defensible evidence from Lab 1 onward. By Lab 5 you'll have written your first mini reverse-engineering report. By Lab 100, that same discipline scales into a full production-style analysis platform.
What's Inside
✨Modules 1–2 build your safe workstation and the mechanical foundation — hex, endianness, registers, the stack, the instruction pointer, flags, and memory addressing — so assembly stops being mysterious symbols and starts being a physical model you can picture.
✨Module 3 is where you learn to actuallyread x86-64 assembly: calling conventions, prologues/epilogues, loops, switch/jump tables, structs, recursion, and — critically — how optimization changes what you see, so you're never fooled by a compiler's shorthand.
✨Module 4 takes you inside ELF and PE binary formats by hand: headers, program headers, dynamic linking, the PLT/GOT, and symbol stripping, so you can orient yourself inany unknown binary in minutes.
✨Module 5 puts professional open-source tooling in your hands — Ghidra project workflows, decompiler cross-validation, radare2 CLI triage, algorithm recovery, and compiler fingerprinting — building the exact static-analysis checklist a working analyst uses on an unknown sample.
✨Module 6 moves to safe dynamic analysis: GDB breakpoints and watchpoints, strace/ltrace, filesystem diffing, and isolated network sinkhole captures — every technique validated against a snapshot-based VM recovery drill so nothing you do is irreversible.
✨Modules 7–8 cover defensive malware behavior recognition (persistence, injection concepts, packing/entropy, anti-analysis checks — all via safe, annotated fixtures) and full detection engineering: YARA rules with false-positive test matrices, Sigma detections, IOC extraction, STIX 2.1 bundles, and ATT&CK-mapped, version-controlled detection-as-code.
✨Modules 9–10 industrialize everything: Python triage automation, batch Ghidra headless analysis, JSON Schema–validated evidence, SQLite indexing, CI gates for rules and reports, queue-based pipelines, and a full sandbox architecture with disposable workers, resource limits, Prometheus-style metrics, and Kubernetes/GitOps deployment blueprints.
✨Module 11 is the part almost no RE course covers honestly: GDPR-aware evidence classification, DORA resilience packs, NIS2 incident-reporting inputs, a third-party tooling risk register, and — critically — governed local AI-assisted analysis with human-validation guardrails against hallucination and prompt injection from untrusted binary strings.
The Climax: Lab 100 — The Sovereign Malware Analysis Platform
Lab 100 isn't a final quiz — it's a full capstone build, scored against a 100-point rubric spanning safe lab operation, static and dynamic analysis quality, detection engineering, automation reproducibility, evidence governance, ATT&CK mapping, operational reliability, and communication. You will process a controlled case package end-to-end: static analysis with Ghidra and radare2, dynamic validation in an isolated runtime, tested YARA and Sigma detections, a privacy-reviewed STIX-style intelligence bundle, and three final reports written for three different audiences — executive, SOC, and technical. When you finish, you won't have watched someone else analyze a sample. You'll have built, tested, and defended your own reproducible, offline-capable analysis platform.
Why Enroll Now
The market gap this course closes is real and growing: most RE courses teach isolated tool walkthroughs, while senior malware analyst, threat researcher, and security research engineer roles increasingly expect thefull pipeline — assembly literacy through governed, automated detection engineering. Every tool here is free and open-source (Ghidra, radare2, YARA, Sigma, GDB), so what you build is yours to keep, extend, and put directly into your portfolio — no vendor lock-in, no license expiring the day you change jobs.

Who this course is for

⭐ The Aspiring Malware Analyst / SOC-to-Threat-Research Transition You've triaged alerts or read vendor reports, but the moment someone hands you a raw binary and asks "what does this actually do," you're stuck clicking around a disassembler with no plan. This course builds the exact hard-skill cluster job postings for malware analyst and threat researcher roles ask for — assembly literacy, Ghidra/radare2 fluency, and detection engineering — in a structured, evidence-driven order.
⭐ The Software/Backend Engineer Curious About the Machine Beneath the Code You write software fluently but assembly, binary formats, and "what actually happens when this compiles" feel like a black box you've always wanted to open. This course treats reverse engineering as applied systems knowledge — you'll go from hex and registers to reading real compiled control flow, using skills that make you a sharper engineer even outside security.
⭐ The Senior Security Engineer Building a Defensible, Auditable Analysis Practice You already know some RE tools, but your current workflow is ad hoc — no reproducibility, no evidence trail, no way to prove a detection actually works before it ships. This course is built around a Zero-Failure lab contract (pre-flight, backup, rollback, verified evidence export) and closes with a full sovereign, offline-capable analysis platform — governance, observability, and compliance mapping included — so your findings hold up to an auditor, not just a demo.

Homepage

https://www.udemy.com/course/reverse-engineering-malware-analysis-mastery/?couponCode=MT260902G1B

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

Rapidgator
kzjmb.Reverse.Engineering..Malware.Analysis.Mastery.part1.rar.html
kzjmb.Reverse.Engineering..Malware.Analysis.Mastery.part2.rar.html
AlfaFile
kzjmb.Reverse.Engineering..Malware.Analysis.Mastery.part1.rar
kzjmb.Reverse.Engineering..Malware.Analysis.Mastery.part2.rar

No Password - Links are Interchangeable

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload

In today's era of digital learning, access to high-quality educational resources has become more accessible than ever, with a plethora of platforms offering free download video courses in various disciplines. One of the most sought-after categories among learners is the skillshar free video editing course, which provides aspiring creators with the tools and techniques needed to master the art of video production. These courses cover everything from basic editing principles to advanced techniques, empowering individuals to unleash their creativity and produce professional-quality content.