Cracking: Red team Hacking: Kali Linux, Parrot OS, BackBox & BlackArch
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About this ebook
Are you ready to dive deep into the world of offensive security? Cracking: Red Team Hacking is your ultimate guide to mastering the four powerhouse pentesting distributions:
? Kali Linux – The industry standard for penetration testing, loaded with Metasploit, Nmap, Burp Suite, and hundreds more tools. Learn how to configure, customize, and conquer every engagement.
? Parrot OS – A nimble, privacy-first alternative that balances performance with stealth. Discover built-in sandboxing, AnonSurf integration, and lightweight workflows for covert ops.
?️ BackBox – Ubuntu-based stability meets pentest prowess. Seamlessly install meta-packages for web, wireless, and reverse-engineering testing, all wrapped in a polished XFCE desktop.
⚔️ BlackArch – Arch Linux’s rolling-release power with 2,500+ specialized tools at your fingertips. From RFID to malware analysis, build bespoke toolchains and automate complex workflows.
Why You Need This Book ?
- Hands-On Tutorials: Step-by-step guides—from initial OS install to advanced exploit chaining—that you can follow in real time.
- Custom Toolchains: Learn to curate and automate your perfect toolkit with Docker, Ansible, and Packer recipes.
- Real-World Scenarios: Walk through cloud attacks, wireless exploits, and container escapes to sharpen your red team skills.
- OSINT & Social Engineering: Integrate reconnaissance tools and phishing frameworks for full-spectrum assessments.
- Persistence & Post-Exploitation: Master C2 frameworks (Empire, Cobalt Strike, Sliver) and implant stealthy backdoors.
What You’ll Walk Away With ?
- Confidence to choose the right distro for every engagement
- Velocity to spin up environments in minutes
- Precision in tool selection and workflow automation
- Stealth for covert operations and anti-forensics
- Expertise to beat blue team defenses and secure real-world networks
Perfect For ?
- Aspiring pentesters & seasoned red team operators
- Security consultants & in-house defenders sharpening their offense
- DevOps & SREs wanting to “think like an attacker”
- Hobbyists craving a structured, professional roadmap
? Limited-Time Offer ?
Get your copy of Cracking: Red Team Hacking NOW and transform your penetration testing game. Equip yourself with the knowledge, scripts, and configurations that top red teams rely on—no fluff, pure action.
? Order Today and start cracking the code of modern security! ?✨
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Cracking - Rob Botwright
Introduction
In an age where digital fortresses protect everything from personal correspondence to critical infrastructure, red team hacking has become the crucible in which both offensive skillsets and defensive postures are tested and refined, and this book—Cracking: Red Team Hacking—guides you through four of the most influential penetration-testing distributions in use today. Kali Linux sets the stage with its comprehensive, battle-hardened suite of tools and a vast community that ensures rapid updates and support, making it the de facto standard for security professionals seeking proven exploits, reconnaissance utilities, and post-exploitation frameworks. Parrot OS arrives next as a lighter-weight, privacy-focused alternative, offering the same powerful toolsets alongside integrated sandboxing and anonymity features that let you conduct stealthy operations without sacrificing performance. BackBox follows with its Ubuntu-based stability and polished desktop environment, streamlining the deployment of essential security testing tools and making it an ideal choice for those who value ease of use and reliability in live environments or virtual machines. Finally, BlackArch pushes the boundaries of choice and customization, delivering an Arch-based platform with over two thousand pre-packaged utilities that cater to specialists in wireless attacks, reverse engineering, and niche exploit development, all maintained under a rolling-release model that keeps your toolkit at the cutting edge. Throughout these chapters, you will learn not only how to install and configure each distribution, but also how to craft tailored workflows, automate complex tasks, and select the right tool for every phase of an engagement, empowering you to operate with precision, adaptability, and the confidence required to stay one step ahead in the ever-evolving landscape of cybersecurity.
BOOK 1:
MASTERING KALI LINUX
ADVANCED PENETRATION TESTING TECHNIQUES
ROB BOTWRIGHT
Chapter 1: Deep Dive into Kali’s Architecture and Toolchain
Kali Linux is built upon a Debian testing branch foundation, providing a stable yet up-to-date baseline for security tools, and its architecture begins with a monolithic Linux kernel that has been patched to support a wide array of hardware, network adapters, and virtualization environments. At the heart of Kali’s system is the Advanced Package Tool (APT), which manages software installation, updates, and dependency resolution; using commands like
sudo apt update
sudo apt install kali-linux-large
administrators can fetch meta-packages that bundle hundreds of specialized tools into one cohesive installation. The packaging ecosystem in Kali relies on .deb archives, and maintainers frequently rebuild Debian packages with custom patches to enable features such as wireless injection support, so one often encounters kernel modules like aircrack-ng or rtl8187 that owe their existence to this curated toolchain.
While the filesystem hierarchy in Kali adheres to the Filesystem Hierarchy Standard, there are dedicated directories such as /usr/share/wordlists/ for pentesting dictionaries and /etc/kali/ for distribution-specific configuration files. For example, customizing the default wordlist path for hydra might involve editing /etc/hydra/hydra.conf and pointing it to /usr/share/wordlists/rockyou.txt. Kernel modules are managed through /etc/modules-load.d/ and /etc/modprobe.d/, ensuring that wireless drivers and tun/tap interfaces necessary for tunneling are available at boot. The init system is provided by systemd, where units for services like postgresql.service and mysql.service kick in automatically if the user installs database-backed tools like metasploit-framework.
Building tools from source is a common practice in the Kali community, and the distribution provides a ready environment with compilers and language interpreters. A typical workflow might start with cloning a Git repository:
git clone https://github.com/someauthor/someexploit.git
cd someexploit
make
sudo make install
and the use of gcc, g++, or even rustc for newer projects is seamless because development meta-packages such as build-essential and rustc are preinstalled or easily fetched via APT. Python remains the lingua franca of many security tools, and the inclusion of both Python 2 and Python 3 interpreters, along with virtual environment support (python3-venv), means that scripts like sqlmap.py or wpscan.rb (for Ruby) can be executed without version conflicts.
The Kali repositories themselves are segmented into kali-rolling, kali-last-snapshot, and experimental branches, allowing users to choose between the latest tool updates and more thoroughly tested versions. The sources.list file located in /etc/apt/ can be edited to include entries such as
deb http://http.kali.org/kali kali-rolling main non-free contrib
after which sudo apt update && sudo apt dist-upgrade ensures the entire system and toolchain remain synchronized. For users who want to maintain older environments, snapshot archives provide a point-in-time capture of the rolling release, making it possible to reproduce tests against the same tool versions used months earlier.
Kali’s toolchain also integrates with containerization platforms: Docker images are officially maintained, and leveraging an image such as docker pull kalilinux/kali-rolling allows pentesters to spin up isolated environments. Inside a container, the default non-root user kali can employ sudo without a password prompt for convenience, though security-minded operators often adjust /etc/sudoers.d/kali to require a password. Similarly, Kali supports deployment on Kubernetes clusters, where each pod can run specialized tools like nmap in parallel, orchestrated via YAML manifests:
apiVersion: v1
kind: Pod
metadata:
name: nmap-scanner
spec:
containers:
- name: nmap
image: kalilinux/kali-rolling
command: [nmap
, -sV
, 10.0.0.0/24
]
One of the most powerful aspects of Kali’s architecture is the integration of virtualization guests and hypervisors; the distribution ships OVA images for VMware and VirtualBox, complete with guest additions that facilitate clipboard sharing, folder mapping, and seamless screen resolution adjustment. For manual installation, setup involves mounting the ISO, choosing either UEFI or BIOS boot modes, and partitioning through anaconda installer or the Debian installer interface. Post-installation, security-focused sysadmins often enforce full disk encryption by enabling LUKS during the setup, which prompts for a passphrase at boot to unlock /dev/mapper/kali-root.
The toolchain extends beyond low-level utilities into graphical user interfaces like GNOME with the Kali-specific dark theme, where one finds menu entries organized by categories such as Information Gathering, Vulnerability Analysis, Wireless Attacks, Exploitation Tools, and Forensics. Each category is a collection of .desktop files that point to executables; to hide or show specific tools in the menu, one can edit the NoDisplay=true entries in /usr/share/applications/
Networking layers are carefully constructed: network-manager manages interfaces by default, but pentesters often disable it using
sudo systemctl stop NetworkManager
sudo systemctl disable NetworkManager
to avoid interference with tools like airmon-ng, which need to put wireless cards into monitor mode (sudo airmon-ng start wlan0). IPv6 can be disabled by echoing into /proc/sys/net/ipv6/conf/all/disable_ipv6 or adding net.ipv6.conf.all.disable_ipv6=1 to /etc/sysctl.conf, ensuring scans focus on IPv4 unless IPv6 testing is specifically required.
Finally, Kali’s rolling updates are supplemented by the community-driven Kali NetHunter project, which packages the OS for mobile devices and integrates with Android’s bootloader. Installing NetHunter involves flashing a custom kernel and chroot environment, and accessing tools via a terminal emulator or a NetHunter app menu. The chroot is mounted over /data/nhsystem on Android, and updates can be applied via scripts such as
./bootstrap.sh
./kali-installer.sh
making the entire Kali architecture portable from server to desktop to handheld device without sacrificing the cohesion of its toolchain.
Chapter 2: Advanced Reconnaissance with Custom Scripts
Advanced reconnaissance begins with the systematic enumeration of targets, starting from simple DNS queries and moving into bespoke scripts that merge multiple data sources into coherent intelligence, and it is in this phase that a security professional crafts Python or Bash scripts to automate the retrieval of subdomains, certificates, and historical DNS records; for instance, one might write a Bash loop:
for domain in $(cat targets.txt); do dig +short $domain @8.8.8.8 >> dns_results.txt; done
to quickly assemble DNS resolutions for dozens of domains and then feed those results into a Python parser that correlates IP ranges, autonomous system numbers (ASNs), and geolocation information, thereby producing a richer contextual map of the target’s network footprint. Simultaneously, reconnaissance engineers often leverage APIs—such as the Shodan API—to query for internet-facing services, writing simple scripts in Node.js or Python to automate the process:
from shodan import Shodan
api = Shodan(YOUR_API_KEY
)
result = api.search(hostname:example.com
)
print(result[matches
])
and by integrating this with asynchronous I/O frameworks like asyncio, one can query multiple targets in parallel, drastically reducing the time needed to gather service banners, open ports, and SSL certificate details. Custom scripts can also chain together tools like masscan for high-speed port scans, feeding the output directly to nmap for service fingerprinting via a one-liner:
masscan -p1-65535 --rate 10000 $TARGET -oL masscan.out && nmap -iL masscan.out --open -sV -oN nmap.out
and by capturing these results in JSON with nmap -oX, a Python script using xml.etree.ElementTree can transform the XML into structured data entries for each host.
Beyond network enumeration, tailored reconnaissance scripts often turn to web scraping frameworks like Scrapy or BeautifulSoup to harvest employee names, email address patterns, and organizational charts from company websites and LinkedIn, automating form submissions and handling JavaScript-heavy pages by incorporating headless browsers such as Puppeteer or Playwright; one might start a Playwright script with:
npx playwright run-repl
and then write JavaScript functions that extract DOM elements matching selectors like article.team-member or div.profile-contact, looping through pages of results to build a corporate directory database. These scripts can be enhanced with rate-limiting and proxy rotation—leveraging services such as Tor or residential proxy farms—to avoid triggering WAF blocks or IP-based rate limits, and developers frequently implement exponential backoff and error handling routines that catch HTTP 429 or 503 responses, retrying requests after configurable delays.
Recon operators also employ custom tools to mine OSINT data from social media platforms, using APIs where available or reverse-engineering GraphQL endpoints for platforms like Facebook or Instagram, generating GraphQL queries in Python with libraries such as requests and gql, and pivoting from public posts to private groups or event listings that reveal insider movements or upcoming corporate gatherings; an example script might include:
from gql import Client, gql
client = Client(transport=RequestsHTTPTransport(url=https://graph.facebook.com/graphql
))
query = gql('''query getEvents($id: ID!) { node(id: $id) { events { edges { node { name start_time }}}}}''')
result = client.execute(query, variable_values={id
: 123456789
})
print(result)
and processing the returned JSON allows an analyst to flag events happening at data centers or executive retreats. Once harvested, these datasets are loaded into a SQLite database via custom import scripts, where analysts can perform SQL queries to filter by date, location, or user engagement metrics, enabling the creation of time-based patterns of movement or identifying peak traffic times for physical penetration planning.
Email harvesting scripts can integrate the Hunter.io API or scrape contact pages for HTML mailto: links, parsing out address formats and constructing permutation engines in Python to generate probable combinations of first name, last name, and domain names, which can be tested en masse against SMTP servers using tools like smtp-user-enum or in-house scripts that implement the SMTP handshake up to the RCPT TO stage:
python smtp_enum.py --domain example.com --users userlist.txt
thereby confirming which email addresses are valid without sending actual messages. These valid addresses then feed into phishing simulation scripts or credentials-stuffing tools, blending reconnaissance and initial access phases seamlessly.
Advanced reconnaissance also embraces passive DNS and certificate transparency logs sourced from services such as Censys, utilizing custom Go programs that leverage gRPC APIs to efficiently stream new certificate entries, filtering for those that match the target’s domain suffix, and then extracting SAN (Subject Alternative Name) fields to uncover wildcard domains or development subdomains that may not appear in DNS zone transfers. The Go ecosystem’s concurrency model allows these scripts to achieve high throughput by spawning multiple goroutines for each gRPC stream, aggregating findings in Redis for real-time dashboard display.
In environments where internal reconnaissance is possible, custom PowerShell scripts deliver equally powerful capabilities, querying Active Directory for dormant accounts, group memberships, and ACLs by invoking Get-ADUser and Get-ADObject cmdlets, and exporting results to CSV for later analysis; behind a corporate firewall, these scripts can be deployed via Group Policy or through scheduled tasks to generate daily snapshots of privilege changes.