semvec/pypi-packages huggingface dataset:
znuzhgfw 0.3.0
ZNUZHG Pentest Framework — SQLi, XSS, LFI, SSTI, WAF Detection, Directory Enumeration, Spider, Headers Analyzer and more.
Requires Python: >=3.10
Keywords: pentest, security, scanner, vulnerability, xss, sqli, cybersecurity, framework, web security, bug bounty, ethical hacking

# ZNUZHG Pentest Framework v0.2

> ONLY FOR AUTHORIZED SECURITY TESTING & EDUCATIONAL USE

ZNUZHG Pentest Framework, web uygulamalarını otomatik olarak taramak için
tasarlanmış modüler, genişletilebilir bir güvenlik tarayıcısıdır.

## Özellikler

- 🌐 Crawler (aynı domain içinde gezinti, depth kontrollü)
- 🧪 SQL Injection Testleri
  - Boolean-based
  - Error-based
  - Time-based (Blind)
- 💥 XSS Testleri
  - Reflected XSS
  - DOM-based XSS sink tespiti
- 📂 LFI / Path Traversal Testleri
- 🔁 Open Redirect Testleri
- 🧱 Security Header Analizi
- 🚦 Rate Limit Analizi
- 🛡️ WAF (Cloudflare, Sucuri vb.) Basit Tespiti
- 🧠 SSTI (Server-Side Template Injection) Basit Testleri
- 📜 CRLF Injection Denemeleri
- 🧭 HTTP Methods Analizi (OPTIONS, TRACE)
- 📁 Directory Bruteforce (basit wordlist ile)
- 🧵 Multi-threaded tarama
- 📝 Markdown + HTML rapor üretimi
- 📜 Ayrıntılı log dosyası

## Kurulum

```bash
git clone https://github.com/znuzhg/znuzhg_pentest_framework.git
cd znuzhg_pentest_framework
pip install -r requirements.txt

Kullanım
python3 main.py \
  --url "https://hedef-sistem.com/" \
  --depth 1 \
  --threads 5 \
  --cookies "PHPSESSID=xxx; token=yyy" \
  --modules all \
  --report-md report.md \
  --report-html report.html


Belirli modüllerle çalıştırmak için:

python3 main.py \
  --url "https://hedef-sistem.com/" \
  --modules "sqli,xss,headers"

Uyarı (Legal / Etik)

Bu framework yalnızca:

Kendi sistemlerinizde

Açıkça yazılı izin aldığınız hedeflerde

Eğitim ve savunma amaçlı

kullanılmalıdır.

İzinsiz sistemlere karşı kullanmak, hem etik değildir hem de hukuki sonuçlar doğurabilir.
Yazar, bu aracın kötüye kullanımından doğacak sonuçlardan sorumlu değildir.

Lisans

MIT
insurance-risk-engine-x24329274 0.0.8
An insurance risk and premium calculation library.
Requires Python: >=3.7

Insurancde Risk Engine

Insurance-Risk-Engine is a lightweight Python library for calculating motor insurance premiums and modelling risk changes after a claim.
It has no external dependencies and is suitable for use in any Python 3.7+ application. This library was developed as part of a cloud-based insurance claims project, where it is used both:
1) Inside a Django web application to generate insurance quotes for users
2) Inside an AWS Lambda validation pipeline to calculate post-claim premium adjustments.
AI-WQ-package 3.0.4
A python package to support forecast submission, evaluation and access to FTP site for DESTIN-E S2S AI prediction project
Requires Python: >=3.8

# AI_weather_quest
To participate in the AI Weather Quest, you will need to install the AI-WQ-package Python package. This package requires Python version 3, and its source code is available on GitHub.

*AI-WQ-package* is a Python library designed to streamline participation in the AI Weather Quest. This guide provides step-by-step instructions on how to:

- Submit a forecast to the AI Weather Quest competition.
- Evaluate sub-seasonal forecasts using tools developed by the AI Weather Quest.
- Download training data for initially developing sub-seasonal forecast models. 

The package leverages capability developed through xarray for efficient data handling.

We highly recommend use the ReadTheDocs documentation as a guide for using this package: *https://ecmwf-ai-weather-quest.readthedocs.io/en/latest/*

Installation
--------------
To install the *AI-WQ-package* on Linux, run the following command:

**python3 -m pip install AI-WQ-package**

For guidance on installing Python 3 or pip, refer to the official documentation.

Dependencies
------------
The AI-WQ-package requires the following dependencies:

- **numpy** (version 1.23 or higher)
- **xarray** (version 2024.09.0 or higher)
- **dask** (version 2024.9.0)
- **pandas** (version 2.2.3 or higher)
- **scipy** (version 1.14.1 or higher)
- **netCDF4** (version 1.7.2 or higher)
- **requests** (versions 2.32.2 or higher)
- **matplotlib** (versions 3.8 or higher)
- **cartopy** (versions 0.22 or higher)

If these dependencies conflict with your current working environment, consider installing the package in a new virtual environment.

Upgrading the Package
----------------------
To upgrade to the latest version, run:

**python3 -m pip install --upgrade AI-WQ-package**

This project is being actively developed. New updates may be released periodically with detailed annoucements given on the ECMWF-hosted forum.