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Python for Security and Networking (José Manuel Ortega)(Z-Library)

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Computer Network Technology
Language English

Gain a firm, practical understanding of securing your network and utilize Python's packages to detect vulnerabilities in your application Key Features Discover security techniques to protect your network and systems using Python Create scripts in Python to automate security and pentesting tasks Analyze traffic in a network and extract information using Python Book DescriptionPython's latest updates add numerous libraries that can be used to perform critical security-related missions, including detecting vulnerabilities in web applications, taking care of attacks, and helping to build secure and robust networks that are resilient to them. This fully updated third edition will show you how to make the most of them and improve your security posture. The first part of this book will walk you through Python scripts and libraries that you'll use throughout the book. Next, you'll dive deep into the core networking tasks where you will learn how to check

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【One-Line Pitch】 A hands-on guide that turns Python into a practical toolkit for network security work, from writing sockets and packet sniffers to scanning for vulnerabilities and extracting forensic evidence. Best suited to network engineers, sysadmins, and security professionals who already know basic Python and want working scripts rather than theory. 【Book Arc】 - **Opening (~0%–12%)**: Sets up the Python foundation the rest of the book depends on — data structures, functions, classes, files, exceptions, modules, dependency management, and virtual environments, plus development environments like IDLE and PyCharm. - **Early (~12%–31%)**: Moves into system and network scripting — interacting with the OS and filesystem, subprocess and threading/multiprocessing, then socket programming (TCP/UDP clients and servers, port scanning, TLS/SSL) and HTTP programming with web authentication. - **Middle (~31%–57%)**: Shifts to offensive tooling — working with the Nmap scanner and its vulnerability scripts, then interacting with vulnerability scanners such as OpenVAS and OWASP ZAP programmatically, and reporting with WriteHat. - **Late (~57%–73%)**: Covers server and web application vulnerabilities — CMS scanning, Tomcat weaknesses, SQL injection with sqlmap, open redirect detection — and pulling exploit information from CVE, NVD, and Vulners databases. - **Ending (~73%–100%)**: Applies Python to forensics and defense — extracting geolocation and metadata from images, PDFs, and browser stores, brute-force attack tooling, and cryptography/obfuscation with pycryptodome, cryptography, secrets, hashlib, and pyarmor. 【Key Takeaways】 - **The book is a script cookbook, not a theory text** (Opening): every concept is paired with runnable Python, so value comes from typing and adapting the code rather than reading passively. - **Python fundamentals are treated as prerequisites, not taught from scratch** (Opening): the first chapter reviews lists, tuples, dictionaries, classes, and virtual environments quickly, assuming you already know basic syntax. - **Sockets are the backbone of network scripting** (Early): TCP/UDP servers and clients, port scanners, reverse shells, and TLS/SSL all build on the socket module, making this the most transferable skill in the book. - **System programming bridges Python and the OS** (Early): subprocess, threading, multiprocessing, and filesystem access let you automate tasks that would otherwise be manual shell work. - **Nmap and vulnerability scanners are driven programmatically** (Middle): the book shows how to call Nmap, OpenVAS, and OWASP ZAP from Python, turning point-and-click tools into automatable pipelines. - **Web application flaws get concrete tooling** (Late): CMS scanners, Tomcat scanners, sqlmap, and open-redirect detection demonstrate how to find real weaknesses in web targets. - **Vulnerability databases are queryable from code** (Late): CVE, NVD, and Vulners lookups show how to enrich scans with exploit context instead of stopping at a port list. - **Forensics and cryptography round out the defensive side** (Ending): metadata extraction from images, PDFs, and browsers, plus encryption and obfuscation, cover the evidence-gathering and protection end of security work. 【Reading Tips】 - **Skim Chapter 1 if you are already comfortable with Python** — use it as a reference for virtual environments and dependency management, not as a tutorial. - **Deep-read the socket and Nmap chapters** — these are the most reusable and the foundation for everything that follows. - **Run the code against a lab environment** — scanners, brute-force tools, and reverse shells are unsafe on production or third-party systems; set up isolated targets. - **Treat the vulnerability-scanner chapters as integration guides** — the real skill is wiring Python to OpenVAS, ZAP, and sqlmap, not memorizing their UIs. - **Keep the forensics and cryptography chapters for last** — they are self-contained and useful as reference material when a specific task arises. 【Coverage Limits】 The excerpts cover the book's structure, chapter topics, and opening material in detail, but do not include the full body of later chapters, so specific code examples, outputs, and edge cases from the middle and ending sections are not summarized here.

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Excerpt 1
is book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable fo...
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Excerpt 2
Hacking Database Maltego Photon The Harvester Censys crt.
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Excerpt 3
abilities with Nmap-vulners script Detecting vulnerabilities with the Nmap-vulscan script Port scanning via online services Scanless port scanner Summary Que...
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Excerpt 4
stand vulnerabilities and exploits What is an exploit?
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