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Security: arcaelas/agent

Security

SECURITY.md

Security Policy for @arcaelas/agent

Introduction

This document outlines the security considerations, potential vulnerabilities, and best practices when using the @arcaelas/agent library.

It is important to note that this tool relies entirely on third-party APIs (OpenAI) and proprietary utilities from Arcaelas Insiders, making it inherently subject to external vulnerabilities that are beyond the direct control of the library’s developers.

Potential Vulnerabilities

1. Risks Inherent to External API Usage (OpenAI)

  • Sensitive Data Leakage: Data sent during conversations with the agent may be processed and stored by OpenAI servers, posing a potential risk of confidential information leakage.

  • Malicious or Inaccurate Responses: LLMs may generate misleading, inaccurate, or potentially harmful responses if manipulated through prompt injection attacks.

  • Dependency on External Availability: Any disruption in OpenAI services will directly impact the functionality of agents built with this library.

2. Credential Management and Protection

  • API Key Exposure: Improper configuration or insecure handling of API keys may lead to unauthorized and potentially costly usage.

  • Credential Compromise Risks: If credentials for OpenAI or Arcaelas Insiders are compromised, an attacker could abuse resources or access historical conversation data.

3. Tool-Related Vulnerabilities

  • Unsafe Code Execution: Tools implementing code execution, file system access, or external service connections can be exploited if not properly secured.

  • Malicious Parameter Injection: Lack of validation and sanitization of tool parameters can lead to injection attacks.

  • Unauthorized Access to Functionality: Without proper authentication and authorization, tools may be misused by unauthorized entities.

4. Automated Execution Risks

  • Destructive Automated Actions: Automating actions based on LLM responses without human verification may lead to destructive or undesired operations.

  • Infinite Loops and Resource Exhaustion: Although the agent has a 6-cycle limit, poor configuration could result in execution loops that exhaust system resources.

Recommendations to Mitigate Risks

1. Input/Output Validation and Sanitization

  • Strictly validate all parameters received by agent tools.
  • Sanitize all outputs generated by the model before processing or displaying them.
  • Set clear limits on the size and content of inputs and outputs.

2. Auditing and Logging

  • Maintain detailed logs of all agent interactions, especially those involving tools with access to critical systems.
  • Implement an alerting system to detect unusual or suspicious usage patterns.
  • Regularly review logs to identify potential vulnerabilities or exploitation attempts.

3. Credential Protection

  • Never hardcode API keys in source code.
  • Use environment variables or secure secret management systems.
  • Rotate credentials regularly and follow the principle of least privilege.
  • Use tokens with limited scope and expiration where possible.

4. Secure Development Practices

  • Keep the library updated with the latest security patches.
  • Integrate security checks into your CI/CD pipeline.
  • Conduct regular security audits on code and dependencies.
  • Consider implementing throttling mechanisms to prevent abuse.

Vulnerability Reporting Policy

How to Report

If you discover a security vulnerability in @arcaelas/agent, please report it immediately via the following channels:

Response Process

  1. Acknowledgment: You will receive confirmation within 24 hours of reporting.
  2. Initial Assessment: The security team will assess the reported issue within 72 hours.
  3. Mitigation Plan: A plan will be created to fix the issue, and you will be informed of the expected timeline.
  4. Patch and Release: Critical vulnerabilities will be addressed with top priority, with a target of releasing a fix within 7 days.

Responsible Disclosure

We kindly request that you:

  • Provide sufficient detail to reproduce and address the vulnerability.
  • Allow reasonable time for a fix before disclosing publicly.
  • Do not exploit the vulnerability to access unauthorized data or disrupt the service.

User Responsibility

It is the responsibility of users of @arcaelas/agent to implement secure and prudent practices in their deployments. This includes:

  • Carefully reviewing all custom tools before integration.
  • Keeping dependencies and the library itself up to date.
  • Implementing additional layers of validation for critical inputs and outputs.
  • Defining strict boundaries for the agent’s capabilities.
  • Never blindly trusting LLM-generated responses when critical systems are involved—always verify.

This security policy will be updated periodically to address emerging risks and improve best practices. Last updated: 2025-07-17

There aren’t any published security advisories