The complete curriculum. Every keyword, every library, every project — from core Python to writing your first exploit. No fluff. Just the map.
bytes and bytearray are critical — almost all network and binary data is raw bytes. Learn the difference early or it will break you later.break and continue cold — stopping a scan on first hit matters a lot in practice.encode()/decode() bridges str↔bytes which you'll do constantly in network code.with open() and iterate line-by-line — never load the entire file into memory. Use 'rb' for anything binary.except:. Know your network error types cold.if __name__ == "__main__" pattern is non-negotiable. It lets your code work as both a runnable script and an importable module inside a larger recon framework.settimeout() is essential — never let a connect hang forever on a dead host.re.compile() in hot loops for speed.shell=True — use a list of args to prevent shell injection in your own code.--target 10.0.0.1 --ports 1-1024 --threads 50 --output results.json. That's what separates a script from a tool.json for API responses and results. struct is critical for binary protocol parsing — reading packet headers, crafting raw payloads, dissecting file formats at byte level.os.walk() is powerful for hunting through directory trees. Combine with regex to find sensitive files: private keys, .env files, database dumps, configs left exposed.& ? = and spaces need encoding in payloads. http.server spins up a file server in one line for payload delivery.Session() persists cookies across requests — essential for authenticated scanning. verify=False skips SSL cert checks on internal lab targets.AuthenticationException for failed logins during credential testing. Lab machines only.number.getPrime() for RSA challenges, long_to_bytes() for BigInteger conversion. Most crypto CTF writeups you'll find are built on this.alg:none attack, weak secret brute-force, and RS256→HS256 algorithm confusion appear constantly across web targets.Scanner class, a Target class, a Vulnerability class. Makes tools composable. Use @dataclass for clean data containers without boilerplate.print() with proper logging. Set level via CLI: --verbose → DEBUG, default → INFO. Log to file and console simultaneously for a clean audit trail.unittest.mock. Parametrize to cover edge cases: closed ports, timeouts, auth failures..env files via python-dotenv. Pydantic BaseSettings validates config and gives type-safe access with sane defaults.requirements.txt + README.md is minimum. A pyproject.toml lets others pip install your tool directly from GitHub.cyclic() finds buffer overflow offsets. ROP() builds ROP chains. ELF() parses binaries. You've probably touched this already in CTFs.struct packs/unpacks binary data for protocol parsing. ctypes calls native C/Windows API functions directly — used in shellcode loaders and DLL injection scripts.// every import and concept flattened into one view
email: admin@notalive.in
discord: _i_am_innocent_
github: github.com/notalive24