ArmurAI/Pentest_AI

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Apr 17, 2024Architecture:Transformer0.0K Cold

ArmurAI/Pentest_AI is an instruction-tuned language model based on the OpenHermes-2.5-Mistral-7B architecture, specifically designed for penetration testing. This model has been jailbroken and fine-tuned with commands for popular Kali Linux tools. It provides guided, actionable steps and automates command execution for comprehensive pen tests, making it suitable for both novices and experienced professionals in cybersecurity.

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PentestAI: An Assistant for Penetration Testing

PentestAI is an innovative assistant for penetration testing, built upon a modified and fine-tuned version of the OpenHermes-2.5-Mistral-7B model. This model has been uniquely adapted by ArmurAI to provide specialized support for cybersecurity professionals and enthusiasts.

Key Capabilities

  • Guided Penetration Testing: Simplifies complex pen-testing processes by offering step-by-step guidance, starting from target IP acquisition and adapting advice to the current phase of the test.
  • Command Automation: Integrates extensive knowledge of Kali Linux tools, providing executable command examples that can be used directly or modified.
  • Adaptive Learning: Dynamically adjusts suggestions based on user progress and shared results, enhancing efficiency and effectiveness.
  • Ethical Framework: Emphasizes adherence to ethical standards and legal compliance throughout the testing process.
  • User-Friendly Interaction: Allows seamless interaction and session conclusion with simple commands like 'exit' or 'hacked'.

When to Use PentestAI

PentestAI is ideal for users who need a streamlined and guided approach to penetration testing. It supports both beginners learning the ropes and experienced professionals looking to automate and optimize their workflow. The model's focus on Kali Linux tools and ethical guidelines makes it a valuable resource for responsible and efficient security assessments. For more details, visit the GitHub repository.