93 lines
1.9 KiB
Markdown
93 lines
1.9 KiB
Markdown
# 🐍 Core Python (your foundation)
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These are built-in. You’ll use them everywhere.
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* `socket` → low-level networking (port scanners, connections)
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* `subprocess` → run system commands (e.g. `ping`, `nmap`)
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* `os` → interact with the operating system
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* `sys` → handle arguments and runtime behavior
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* `threading` / `concurrent.futures` → speed up scans
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* `time` → delays, timing attacks (basic)
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* `re` → regex (log analysis, pattern detection)
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* `json` → handle API and structured data
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* `argparse` → clean CLI tools (very useful)
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---
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# 🌐 Networking & Web
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Where most beginner cybersecurity action happens.
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* `requests` → send HTTP requests (GET, POST, etc.)
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* `urllib` → lower-level web handling
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* `http.client` → raw HTTP interactions
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👉 You’ll use these for:
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* Web scanners
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* API testing
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* Automation scripts
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---
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# 🍲 Parsing & Scraping
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Turning messy data into something useful.
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* `BeautifulSoup` (bs4) → parse HTML
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* `lxml` → faster HTML/XML parsing
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👉 Useful for:
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* Extracting forms and inputs
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* Web reconnaissance
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---
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# 🔍 Security & Scanning
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More “cyber-flavored” tools.
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* `scapy` → packet crafting/sniffing (very powerful)
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* `nmap` (via `python-nmap`) → automate scans
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* `shodan` → search exposed devices (API)
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👉 These unlock:
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* Network analysis
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* Recon automation
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---
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# 🔐 Cryptography & Hashing
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For passwords, encryption, and security logic.
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* `hashlib` → hashing (MD5, SHA256, etc.)
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* `hmac` → message authentication
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* `cryptography` → encryption/decryption (advanced)
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👉 Use cases:
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* Password crackers
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* Hash verification
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# 📂 File & Log Analysis
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Blue team territory.
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* `pandas` → analyze large datasets/logs
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* `csv` → parse log files
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* `collections` → count patterns (e.g. IP frequency)
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---
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# ⚙️ CLI & Tooling (make your scripts look pro)
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* `argparse` → command-line arguments
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* `colorama` → colored terminal output
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* `rich` → beautiful CLI dashboards
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