Full Code of jimmyraj18/Cloud-DDoS for AI

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Repository: jimmyraj18/Cloud-DDoS
Branch: main
Commit: fff8b80c1616
Files: 5
Total size: 3.6 KB

Directory structure:
gitextract_rbk0kyhn/

├── AWS
├── Azure
├── README.md
├── blacklist.py
└── main.py

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FILE: AWS
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FILE: Azure
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FILE: README.md
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# Cloud-DDoS (Distributed Denial of Service (DDoS))
Welcome to the DDoS Mitigation Project! This repository contains resources and tools aimed at detecting, mitigating, and preventing Distributed Denial of Service (DDoS) Cyber attacks. The project is designed to help organizations safeguard their network infrastructure from malicious traffic and ensure the availability and security of their services.

Table of Contents
Introduction
Features
Installation
Usage
Configuration
Contributing
License
Contact
Introduction
DDoS attacks are a significant threat to online services, causing downtime and loss of revenue. This project provides a comprehensive solution to detect and mitigate such attacks using various techniques and tools. The repository includes scripts, configurations, and documentation to help you set up and manage DDoS protection for your network.

Features
Traffic Monitoring: Real-time monitoring of network traffic to identify potential DDoS attacks.
Anomaly Detection: Algorithms to detect unusual traffic patterns indicative of DDoS attacks.
Rate Limiting: Tools to limit the rate of incoming traffic to prevent overwhelming the server.
IP Blacklisting: Automatic and manual blacklisting of IP addresses identified as sources of malicious traffic.
Alerting System: Notifications and alerts to inform administrators of potential attacks.
Scalability: Designed to scale with your infrastructure, supporting both small and large networks.
Installation
To get started with the DDoS Mitigation Project, follow these steps:

Clone the Repository:

Bash

git clone https://github.com/jimmyraj18/Cloud-DDoS.git
cd ddos-mitigation
Install Dependencies: Ensure you have Python and pip installed. Then, install the required Python packages:

Bash

pip install -r requirements.txt
Set Up Configuration: Copy the sample configuration file and customize it according to your environment:

Bash

cp config.sample.json config.json
Usage
To start monitoring and mitigating DDoS attacks, run the main script:

Bash

python main.py
You can also use the following commands for specific tasks:

Monitor Traffic:

Bash

python monitor.py
Blacklist IP:

Bash

python blacklist.py --ip <IP_ADDRESS>
View Logs:

Bash

python view_logs.py
Configuration
The configuration file (config.json) includes various settings to customize the behavior of the DDoS mitigation tools. Key parameters include:

threshold: The traffic threshold to trigger DDoS detection.
alert_email: Email address to send alerts.
blacklist_duration: Duration (in minutes) to blacklist an IP address.
Refer to the config.sample.json file for a complete list of configurable parameters and their descriptions.

Contributing
We welcome contributions to the DDoS Mitigation Project! If you have ideas for improvements or new features, please follow these steps:

Fork the repository.
Create a new branch for your feature or bug fix.
Commit your changes and push the branch to your fork.
Submit a pull request with a detailed description of your changes.
Please ensure that your code adheres to our coding standards and includes appropriate tests.

License
This project is licensed under the MIT License. See the LICENSE file for more details.



Thank you for using the DDoS Mitigation Project! We hope it helps you protect your network and maintain the availability of your services.



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FILE: blacklist.py
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FILE: main.py
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from pcpi import session_loader

# Load Prisma Cloud credentials
session_manager = session_loader.load_from_file()
cspm_session = session_manager.create_cspm_session()

# Get a list of cloud accounts
accounts = cspm_session.get('/cloud/accounts')

# Get compliance violations for an account
violations = cspm_session.get(f'/compliance/{account_id}/violations')

# ... and more
Download .txt
gitextract_rbk0kyhn/

├── AWS
├── Azure
├── README.md
├── blacklist.py
└── main.py
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