Udemy - Reverse Engineering and Malware Analysis Mastery
About Udemy - Reverse Engineering and Malware Analysis Mastery
Overview
Reverse Engineering & Malware Analysis Mastery https://WebToolTip.com 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, sec
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Reverse Engineering & Malware Analysis Mastery
https://WebToolTip.com
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.