Welcome to the Meta AI Bug Bounty repository! This project showcases a detailed report on vulnerabilities found in Meta AI's Instagram Group Chat. We focus on two primary types of vulnerabilities: prompt injection and command execution. This README provides insights into the findings, methodologies, and implications of these vulnerabilities.
- Introduction
- Vulnerabilities
- Methodology
- Impact
- Responsible Disclosure
- Getting Started
- Releases
- Contributing
- License
- Acknowledgments
In the age of AI, security remains a critical concern. This report aims to highlight significant vulnerabilities within Meta AI's systems, specifically focusing on Instagram Group Chat. By identifying these issues, we contribute to a safer digital environment.
Prompt injection occurs when an attacker manipulates the input to influence the behavior of an AI model. In our findings, we demonstrated how an attacker could exploit this vulnerability in Instagram Group Chat.
An attacker sends a carefully crafted message that alters the model's output, potentially leading to harmful or misleading responses. This can be particularly damaging in group settings where misinformation can spread rapidly.
Command execution vulnerabilities allow attackers to execute arbitrary commands on a system. We discovered that Instagram Group Chat could be manipulated to perform unauthorized actions.
An attacker could send a message that triggers a command execution, allowing them to access sensitive information or perform malicious actions. This poses a significant risk to users and the platform's integrity.
Our approach involved a systematic examination of the Instagram Group Chat's architecture. We employed both automated tools and manual testing to uncover vulnerabilities. Key steps included:
- Reconnaissance: Gathering information about the system's architecture and components.
- Vulnerability Scanning: Using tools to identify potential weaknesses.
- Exploitation: Attempting to exploit identified vulnerabilities to confirm their existence.
- Reporting: Documenting findings and providing recommendations for remediation.
The implications of these vulnerabilities are far-reaching. Successful exploitation could lead to:
- Data breaches
- Misinformation spread
- Loss of user trust
- Regulatory scrutiny
It is crucial for Meta AI to address these vulnerabilities promptly to maintain the integrity of their platforms.
We believe in responsible disclosure practices. Upon discovering these vulnerabilities, we notified Meta AI and provided them with a detailed report. We encourage others to follow this approach to ensure that vulnerabilities are addressed without putting users at risk.
To explore the findings in detail, you can download the report from the Releases section.
Follow these steps to get started:
- Visit the Releases section.
- Download the report.
- Review the findings and recommendations.
For detailed findings and reports, please check the Releases section. You will find the necessary files to download and execute.
We welcome contributions from the community. If you have insights, findings, or suggestions, please consider contributing to this repository. Here’s how you can help:
- Fork the repository.
- Create a new branch for your feature or fix.
- Commit your changes.
- Push to the branch.
- Submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for more details.
We would like to thank the following for their contributions to this project:
- The security research community for their ongoing efforts in identifying vulnerabilities.
- Meta AI for their responsiveness and commitment to improving security.
- Tools and resources that made this research possible.
For more information, please refer to the Releases section. Your feedback and contributions are valuable to us. Thank you for your interest in improving the security of AI systems!