Mastering Cybersecurity with Python: From Basics to Advanced Defense Course

Lesson 1 • File and Stream I/O for Security Tasks

Read, write, and parse files including logs, configs, and binary data. Directly supports log analysis and artifact processing in later chapters.

Lesson 2 • Setting Up a Security Python Environment

Configure isolated Python environments and install security-relevant libraries. Establishes a reproducible lab baseline used throughout the course.

Lesson 3 • Scripting Automation and Scheduling

Automate repetitive security tasks using scripts, arguments, and schedulers. Connects Python basics to real operational workflows.

Lesson 4 • Core Python Syntax and Data Types

Master variables, control flow, and built-in data types through security-themed examples. Provides the syntactic foundation for every subsequent script.

Lesson 1 • DNS and HTTP Interaction with Python

Query DNS records and make HTTP requests programmatically for reconnaissance and testing. Bridges low-level sockets to application-layer security tasks.

Lesson 2 • Packet Capture and Analysis with Scapy

Craft, send, and capture packets using the Scapy library. Enables deep protocol inspection and custom probe construction.

Lesson 3 • TCP/IP and OSI Model Essentials

Map the OSI and TCP/IP models to real packet behaviour and address schemes. Provides the conceptual framework for all network-level Python tools.

Lesson 4 • Python Socket API Fundamentals

Create TCP and UDP sockets, bind addresses, and transfer data programmatically. Forms the low-level building block for scanners and listeners.

Lesson 1 • Cryptographic Concepts and Threat Models

Define confidentiality, integrity, and authentication in cryptographic terms. Frames every algorithm choice against realistic attack scenarios.

Lesson 2 • Asymmetric Cryptography and Key Exchange

Generate RSA and elliptic-curve key pairs, encrypt messages, and perform key exchange. Enables secure channel setup and certificate-based authentication.

Lesson 3 • TLS, Certificates, and Secure Connections

Inspect TLS handshakes, validate certificates, and build TLS-wrapped Python sockets. Connects cryptographic theory to real encrypted network communication.

Lesson 4 • Symmetric Encryption with the Cryptography Library

Encrypt and decrypt data using AES in multiple modes via the cryptography package. Covers key generation, IV management, and padding correctly.

Lesson 1 • Certificate Transparency and Shodan Integration

Query certificate transparency logs and the Shodan API to map exposed assets. Reveals attack surface data unavailable through direct scanning.

Lesson 2 • Automating DNS and WHOIS Enumeration

Script bulk DNS lookups, zone transfer attempts, and WHOIS queries. Feeds structured target data into downstream analysis tools.

Lesson 3 • Web Scraping and API-Based OSINT

Extract intelligence from public websites and APIs using BeautifulSoup and requests. Enables automated collection from search engines, code repositories, and social platforms.

Lesson 4 • OSINT Methodology and Legal Boundaries

Define passive vs. active reconnaissance and establish ethical collection boundaries. Grounds all automation in responsible, authorised-use principles.

Lesson 1 • Vulnerability Assessment Concepts

Distinguish vulnerability scanning from penetration testing and map severity scoring. Establishes the risk-based framework guiding all scanning automation.

Lesson 2 • Scripting Exploit Proof-of-Concept Code

Write controlled PoC scripts for known vulnerabilities in authorized lab environments. Demonstrates how vulnerability reports translate into reproducible evidence.

Lesson 3 • Integrating with Vulnerability Management APIs

Query NVD and scanner APIs to enrich findings with metadata and remediation guidance. Connects raw scan output to actionable vulnerability management workflows.

Lesson 4 • Automating Service Version Detection

Script banner grabbing and version fingerprinting across discovered services. Feeds version data into CVE lookup workflows built in the next section.

Lesson 1 • Dynamic Behavior Monitoring

Monitor file system, registry, and network activity during controlled sample execution. Correlates runtime behavior with static indicators found earlier.

Lesson 2 • Indicator Extraction and Threat Intelligence Sharing

Parse analysis results into structured IOCs and export them to threat intelligence formats. Enables sharing findings with SIEM and threat intelligence platforms.

Lesson 3 • Safe Malware Analysis Lab Setup

Configure isolated virtual environments for safe sample handling and execution. Prevents accidental infection while enabling realistic dynamic analysis.

Lesson 4 • Disassembly and Code Analysis Automation

Use Python bindings for disassemblers to automate function and control-flow extraction. Scales manual reverse engineering to large sample sets.

Lesson 1 • Log Sources and Normalization

Ingest and normalize logs from firewalls, web servers, and operating systems. Consistent field mapping is the prerequisite for reliable detection logic.

Lesson 2 • Automated Alert Triage and Response

Enrich alerts with context and trigger automated containment actions via APIs. Reduces analyst workload by automating repetitive triage decisions.

Lesson 3 • Network Traffic Analysis with Python

Parse PCAP files and live streams to detect scanning, exfiltration, and C2 traffic. Applies Scapy skills from Chapter 2 to defensive detection scenarios.

Lesson 4 • Statistical and Anomaly-Based Detection

Compute baselines and flag statistical deviations in traffic and authentication data. Complements signature detection by catching novel or low-and-slow attacks.

Lesson 1 • Building a File Integrity Monitoring System

Implement a daemon that hashes files, detects changes, and alerts on tampering. Integrates cryptography, file I/O, and alerting skills from prior chapters.

Lesson 2 • Secure Coding Practices for Security Tools

Apply input validation, least-privilege execution, and secrets management to tool code. Ensures the tools themselves do not introduce vulnerabilities.

Lesson 3 • Automated Threat Hunting Workflows

Script hypothesis-driven hunts that query logs, correlate IOCs, and surface hidden threats. Operationalizes threat intelligence and detection logic into repeatable hunts.

Lesson 4 • REST API Security Testing Automation

Automate authentication bypass, injection, and authorization tests against REST APIs. Extends web vulnerability scanning to modern API-driven architectures.