Feat: LLM SSH Honeypot, Preserve Session.

Mar 9, 2025 by ADMIN 42 views

Problem Statement

The current LLM SSH honeypot implementations terminate the session immediately upon attacker logout and delete it. This behavior deviates from that of a real server, where session remnants may persist and be reactivated. To increase the realism and fidelity of our LLM honeypot, we should modify the session handling mechanism to preserve session state even after an attacker logs out.

Current Implementation Limitations

The current implementation of LLM SSH honeypot has several limitations that make it less realistic and less effective in detecting and analyzing attacker behavior. Some of the key limitations include:

Immediate Session Termination: The current implementation terminates the session immediately upon attacker logout, which is not how a real server behaves. In a real server, session remnants may persist and be reactivated, providing valuable information to attackers.
Lack of Session Persistence: The current implementation does not preserve session state, making it difficult to analyze and understand attacker behavior.
Inadequate Realism: The current implementation lacks the realism and fidelity of a real server, making it less effective in detecting and analyzing attacker behavior.

Solution Overview

To address the limitations of the current implementation, we propose modifying the session handling mechanism to preserve session state even after an attacker logs out. This will increase the realism and fidelity of our LLM honeypot, making it more effective in detecting and analyzing attacker behavior.

Solution Components

The proposed solution consists of the following components:

Username and IP-based Session Persistence: We will persist the session using the username and IP address of the attacker. This will allow us to preserve session state even after an attacker logs out.
Session State Preservation: We will modify the session handling mechanism to preserve session state, including any changes made by the attacker during the session.
Realistic Session Termination: We will modify the session termination mechanism to mimic the behavior of a real server, where session remnants may persist and be reactivated.

Technical Details

To implement the proposed solution, we will use the following technical details:

Username and IP-based Session Persistence: We will use the username and IP address of the attacker to persist the session. This will be done using a combination of database and file-based storage.
Session State Preservation: We will use a combination of database and file-based storage to preserve session state. This will include any changes made by the attacker during the session.
Realistic Session Termination: We will use a combination of database and file-based storage to mimic the behavior of a real server, where session remnants may persist and be reactivated.

Benefits and Advantages

The proposed solution will provide several benefits and advantages, including:

Increased Realism and Fidelity: The proposed solution will increase the realism and fidelity of our LLM honeypot, making it more effective in detecting and analyzing attacker behavior.
Improved Session Persistence: The proposed solution will preserve session state even after an attacker logs out, providing valuable information to attackers.
Enhanced Analytical Capabilities: The proposed solution will provide enhanced analytical capabilities, allowing us to better understand and analyze attacker behavior.

Implementation Plan

The implementation plan for the proposed solution will consist of the following steps:

Requirements Gathering: We will gather requirements from stakeholders and users to ensure that the proposed solution meets their needs and expectations.
Design and Development: We will design and develop the proposed solution, including the username and IP-based session persistence, session state preservation, and realistic session termination mechanisms.
Testing and Quality Assurance: We will test and quality assure the proposed solution to ensure that it meets the requirements and expectations of stakeholders and users.
Deployment and Maintenance: We will deploy and maintain the proposed solution, including any necessary updates and patches.

Conclusion

The proposed solution will increase the realism and fidelity of our LLM honeypot, making it more effective in detecting and analyzing attacker behavior. The solution will preserve session state even after an attacker logs out, providing valuable information to attackers. The implementation plan will ensure that the proposed solution meets the requirements and expectations of stakeholders and users.

Frequently Asked Questions

Q: What is the current implementation of LLM SSH honeypot?

A: The current implementation of LLM SSH honeypot terminates the session immediately upon attacker logout and deletes it. This behavior deviates from that of a real server, where session remnants may persist and be reactivated.

Q: Why is preserving session state important?

A: Preserving session state is important because it allows us to analyze and understand attacker behavior. By preserving session state, we can gain valuable insights into the tactics, techniques, and procedures (TTPs) used by attackers.

Q: How will the proposed solution preserve session state?

A: The proposed solution will persist the session using the username and IP address of the attacker. This will allow us to preserve session state even after an attacker logs out.

Q: What are the benefits of preserving session state?

A: The benefits of preserving session state include:

Increased Realism and Fidelity: Preserving session state will increase the realism and fidelity of our LLM honeypot, making it more effective in detecting and analyzing attacker behavior.
Improved Session Persistence: Preserving session state will allow us to analyze and understand attacker behavior, providing valuable insights into the TTPs used by attackers.
Enhanced Analytical Capabilities: Preserving session state will provide enhanced analytical capabilities, allowing us to better understand and analyze attacker behavior.

Q: How will the proposed solution be implemented?

A: The proposed solution will be implemented using a combination of database and file-based storage. The username and IP address of the attacker will be used to persist the session, and session state will be preserved using a combination of database and file-based storage.

Q: What are the technical details of the proposed solution?

A: The technical details of the proposed solution include:

Username and IP-based Session Persistence: The username and IP address of the attacker will be used to persist the session.
Session State Preservation: Session state will be preserved using a combination of database and file-based storage.
Realistic Session Termination: The session termination mechanism will be modified to mimic the behavior of a real server, where session remnants may persist and be reactivated.

Q: What are the benefits of the proposed solution?

A: The benefits of the proposed solution include:

Increased Realism and Fidelity: The proposed solution will increase the realism and fidelity of our LLM honeypot, making it more effective in detecting and analyzing attacker behavior.
Improved Session Persistence: The proposed solution will preserve session state even after an attacker logs out, providing valuable insights into the TTPs used by attackers.
Enhanced Analytical Capabilities: The proposed solution will provide enhanced analytical capabilities, allowing us to better understand and analyze attacker behavior.

Q: How will the proposed solution be tested and quality assured?

A: The proposed solution will be tested and quality assured using a combination of manual and automated testing. The solution will be tested to ensure that it meets the requirements and expectations of stakeholders and users.

Q: What are the next steps for the proposed solution?

A: The next steps for the proposed solution include:

Requirements Gathering: We will gather requirements from stakeholders and users to ensure that the proposed solution meets their needs and expectations.
Design and Development: We will design and develop the proposed solution, including the username and IP-based session persistence, session state preservation, and realistic session termination mechanisms.
Testing and Quality Assurance: We will test and quality assure the proposed solution to ensure that it meets the requirements and expectations of stakeholders and users.
Deployment and Maintenance: We will deploy and maintain the proposed solution, including any necessary updates and patches.

Conclusion

The proposed solution will increase the realism and fidelity of our LLM honeypot, making it more effective in detecting and analyzing attacker behavior. The solution will preserve session state even after an attacker logs out, providing valuable insights into the TTPs used by attackers. The implementation plan will ensure that the proposed solution meets the requirements and expectations of stakeholders and users.