Skip to main content

SentinelX Labs

A numbered Python package for displaying the Ethical Hacking practical material included in the supplied source ZIP. It is a reference/code viewer: it displays practical steps and source code; it does not execute the tools or commands shown in the practicals.

Practicals

  1. Encryption, Decryption and Hashing
  2. CrypTool and HashCalc
  3. Reconnaissance and Footprinting
  4. Windows Commands and Network Utilities
  5. Steganography
  6. Scanning using Nmap
  7. Wireshark (Sniffer)
  8. DoS Demonstration using Colasoft Packet Builder
  9. Password Cracking using John the Ripper and Hashcat
  10. System Hacking using auditpol
  11. Stealth and Hidden Files
  12. Cain and Abel Dictionary Attack
  13. DVWA Tool

The practical text is based on the supplied documents. The original ZIP is also included in the package as source_documents.zip to retain embedded images and original document layouts.

Run from Python

import runpy
runpy.run_module("sentinelx_labs", run_name="__main__")

Install from PyPI

python -m pip install --upgrade sentinelx-labs
sentinelx-labs

Or launch the menu with:

python -m sentinelx_labs

Build and publish

From the project folder:

python -m pip install --upgrade build twine
python -m build
python -m twine check dist/*
python -m twine upload dist/*

Safety

This package is educational reference material. Only perform security testing on systems, accounts, and networks you own or have explicit authorization to test. Prefer isolated lab systems and intentionally vulnerable training applications. The package does not perform scans, attacks, password recovery, or network operations itself.

Source

The content comes from the included practicals (Practical 9 and Practical 15 are omitted by request) and supporting files in the uploaded archive. Some source documents contain screenshots or blank output placeholders; those are retained in the original source_documents.zip archive.

Metadata

Release files for sentinelx-labs 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sentinelx-labs 0.1.1
File Size Uploaded Provenance Actions
sentinelx_labs-0.1.1.tar.gz 12.7 MB Without provenance Details for sentinelx_labs-0.1.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for sentinelx-labs 0.1.1
File Interpreter ABI Platform Actions
sentinelx_labs-0.1.1-py3-none-any.whl Python 3 none any Details for sentinelx_labs-0.1.1-py3-none-any.whl

Total release size: 25.3 MB

Release files / sentinelx_labs-0.1.1.tar.gz

Download URL sentinelx_labs-0.1.1.tar.gz
Size 12.7 MB
Tags Source
SHA-256 checksum
How to use checksums
1337f0d9ae5e4f479eb443594e0cb411314061f53d5a7323d5996e6c9b6c7cb2
BLAKE2b-256 checksum
How to use checksums
7d0da6a58e647a70edf4d16750dbb92e4aba309e364a17e2b1bd63340b1b614a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.2

Release files / sentinelx_labs-0.1.1-py3-none-any.whl

Download URL sentinelx_labs-0.1.1-py3-none-any.whl
Size 12.7 MB
Tags Python 3
SHA-256 checksum
How to use checksums
6fb066a341ddab633e9de8298e5106c3567c8f145e951e7a098a1364db386755
BLAKE2b-256 checksum
How to use checksums
848b402190ba676a5b7196e92f7289e99e59cbc35e8fd21af81908a5b403f3b6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.2

Security for sentinelx-labs 0.1.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page