Security automation turns repeatable checks into code that can collect, filter, and report evidence consistently. This hands-on course applies core Python features to local network services, HTTP workflows, and web-access logs.
You will build a TCP banner grabber, automate GET/POST requests and cookie-backed sessions, parse Apache-style logs with regular expressions, and export CSV findings. A final challenge combines raw HTTP banner parsing, Basic Authentication, 401-event extraction, and a formatted security summary.
What You Will Learn
- Create IPv4 TCP sockets and exchange encoded byte data
- Connect to a local service, receive its banner, and close the socket cleanly
- Send HTTP GET and POST requests and inspect status codes, headers, and bodies
- Maintain cookies across requests with
requests.Session - Read log files line by line and extract IPv4 addresses with regular expressions
- Flag prepared SQL injection patterns and preserve the raw log context
- Write structured CSV results with Python’s
csvmodule - Combine socket, HTTP authentication, log parsing, and text reporting in one script
Who This Course Is For
This intermediate course is for cybersecurity learners, operations analysts, and Python users who want to automate small security checks. It focuses on readable scripts and data flow rather than production-scale frameworks.
Prerequisites: Basic Python syntax, including variables, functions, imports, loops, dictionaries, and file I/O, plus comfort using a Linux terminal. Basic TCP/IP, HTTP, log, and regex concepts are helpful.
Learning environment: An interactive Ubuntu 22.04 terminal with Python 3, requests, prepared logs, and local mock TCP, Flask, and HTTP services bound to 127.0.0.1. No external target is contacted.
Frequently Asked Questions
Do the scripts scan or authenticate to external systems?
No. Every socket and HTTP exercise uses a prepared service on 127.0.0.1. The credentials, responses, and logs are synthetic and confined to the lab.
How much Python do I need before starting?
You should be able to read and modify short scripts using functions, imports, conditions, loops, collections, and files. The course explains the security-specific libraries, but it is not a first introduction to Python syntax.
Does a regex match prove SQL injection or a brute-force attack?
No. The labs use deliberately simple signatures and treat IPs associated with 401 responses as review candidates. Real detection needs context, thresholds, normalization, tuning, and validation to manage false positives and false negatives.
Are the resulting scripts production-ready?
No. They are compact teaching tools. Production automation also needs robust exception handling, timeouts and retries, secure secret management, TLS validation, configuration, testing, structured logging, and integration controls.
