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Predefined Scripts
PROJECT ZERO edited this page Jan 18, 2025
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1 revision
This document provides an overview of predefined scripts available in the system. These scripts are designed to automate various tasks and enhance the functionality of the platform.
-
Network Scan Script
- Description: Scans the network for active devices and open ports.
- Usage:
network_scan.sh
- Example:
./network_scan.sh
-
Vulnerability Assessment Script
- Description: Performs a vulnerability assessment on specified targets.
- Usage:
vulnerability_assessment.sh
- Example:
./vulnerability_assessment.sh -t target_ip
-
Exploit Deployment Script
- Description: Deploys exploits to target systems.
- Usage:
exploit_deployment.sh
- Example:
./exploit_deployment.sh -e exploit_name -t target_ip
-
Data Exfiltration Script
- Description: Exfiltrates data from compromised systems.
- Usage:
data_exfiltration.sh
- Example:
./data_exfiltration.sh -s source_path -d destination_path
-
Incident Response Script
- Description: Automates incident response actions.
- Usage:
incident_response.sh
- Example:
./incident_response.sh -i incident_id
-
Log Analysis Script
- Description: Analyzes logs for suspicious activities.
- Usage:
log_analysis.sh
- Example:
./log_analysis.sh -l log_file
-
System Hardening Script
- Description: Applies security hardening measures to the system.
- Usage:
system_hardening.sh
- Example:
./system_hardening.sh
-
Backup Script
- Description: Creates backups of critical data.
- Usage:
backup.sh
- Example:
./backup.sh -d destination_path
-
Malware Analysis Script
- Description: Analyzes malware samples.
- Usage:
malware_analysis.sh
- Example:
./malware_analysis.sh -m malware_sample
-
Threat Intelligence Script
- Description: Fetches threat intelligence data from external sources.
- Usage:
threat_intelligence.sh
- Example:
./threat_intelligence.sh -s source_url
These predefined scripts are designed to streamline various security operations and enhance the overall efficiency of the platform. Users can customize and extend these scripts to meet their specific requirements.
Defense Intelligence Agency • Special Access Program • Project Red Sword
TABLE OF CONTENTS
- Home
- Advanced Attack Features
- Advanced Data Loss Prevention
- Advanced Data Loss Prevention (DLP)
- Advanced Network Traffic Analysis
- Advanced Threat Intelligence
- AI Control Over Evasion
- AI Driven Attack and Defense
- AI Operating Procedures
- AI Powered Red Teaming
- AI‐Driven Attack Simulations
- AI‐Powered Defense Mechanisms
- Alerts and Notifications
- API Keys and Credentials
- Automated Actions
- Automated Incident Response
- Automated Threat Detection
- Automated Workflows
- AWS Deployment
- Azure Deployment
- C2 Dashboard and Device Details
- Clone The Repository
- Cloud Deployment
- Cloud Security
- Compliance Management
- Compliance With Local Laws
- Container Security
- Continous Authentication and Authorization
- Continuous Authentication and Authorization
- Controlled Environments
- Create a New Branch
- Custom Scripts
- Custom Themes
- Customizable Dashboards
- Custon AI Models
- Dark Mode
- Deception Technology
- Device Relationships
- Digital Ocean Deployment
- Docker Deployment
- Email Notifications
- Enhancements to Add
- Environment Variables
- Ethical and Legal Use
- Evasion Techniques
- Exploit Payload and Development
- Fork The Repository
- Future Implementations
- Google Cloud Deployment
- Handling Intruders and Compromised Systems
- Incident Response Alerts
- Industry Standards
- IoT Security
- Make Changes and Commit
- Manual Actions
- Manual Workflows
- Network Monitoring
- Network Overview
- Network Topology
- Open a Pull Request
- OpenAI Integration
- Penetration Testing Modules
- Post Exploitation Modules
- Predefined Scripts
- Predictive Analytics
- Pre‐defined Scripts
- Project Checklist
- Push Changes to Fork
- Quantum Computing‐Resistant Cryptography
- Real‐Time Alerts
- Real‐Time Threat Detection and Evasion
- Regulatory Requirements
- Role‐Based Access Control (RBAC)
- Running the Application
- Security Awareness Training
- Security Considerations
- Security Information and Event Management (SIEM)
- Security Orchestration, Automation, and Response (SOAR)
- Serverless Security
- Setup and Installation
- SIEM
- SOAR
- Table of Contents
- Vulnerability Management
- Vulnerability Scanner
- Web Scraping and ReconnaissanceHome
- Advanced Attack Features
- Advanced Data Loss Prevention
- Advanced Data Loss Prevention (DLP)
- Advanced Network Traffic Analysis
- Advanced Threat Intelligence
- AI Control Over Evasion
- AI Driven Attack and Defense
- AI Operating Procedures
- AI Powered Red Teaming
- AI‐Driven Attack Simulations
- AI‐Powered Defense Mechanisms
- Alerts and Notifications
- API Keys and Credentials
- Automated Actions
- Automated Incident Response
- Automated Threat Detection
- Automated Workflows
- AWS Deployment
- Azure Deployment
- C2 Dashboard and Device Details
- Clone The Repository
- Cloud Deployment
- Cloud Security
- Compliance Management
- Compliance With Local Laws
- Container Security
- Continous Authentication and Authorization
- Continuous Authentication and Authorization
- Controlled Environments
- Create a New Branch
- Custom Scripts
- Custom Themes
- Customizable Dashboards
- Custon AI Models
- Dark Mode
- Deception Technology
- Device Relationships
- Digital Ocean Deployment
- Docker Deployment
- Email Notifications
- Enhancements to Add
- Environment Variables
- Ethical and Legal Use
- Evasion Techniques
- Exploit Payload and Development
- Fork The Repository
- Future Implementations
- Google Cloud Deployment
- Handling Intruders and Compromised Systems
- Incident Response Alerts
- Industry Standards
- IoT Security
- Make Changes and Commit
- Manual Actions
- Manual Workflows
- Network Monitoring
- Network Overview
- Network Topology
- Open a Pull Request
- OpenAI Integration
- Penetration Testing Modules
- Post Exploitation Modules
- Predefined Scripts
- Predictive Analytics
- Pre‐defined Scripts
- Project Checklist
- Push Changes to Fork
- Quantum Computing‐Resistant Cryptography
- Real‐Time Alerts
- Real‐Time Threat Detection and Evasion
- Regulatory Requirements
- Role‐Based Access Control (RBAC)
- Running the Application
- Security Awareness Training
- Security Considerations
- Security Information and Event Management (SIEM)
- Security Orchestration, Automation, and Response (SOAR)
- Serverless Security
- Setup and Installation
- SIEM
- SOAR
- Table of Contents
- Vulnerability Management
- Vulnerability Scanner
- Web Scraping and Reconnaissance