arsia-protocol

v1.0.0.post2 suspicious
7.0
High Risk

ARSIA Protocol SDK — EdDSA signing, message types, compliance profiles for autonomous AI agent infrastructure

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high obfuscation and credential risks, with no clear benign explanation for these features. The missing maintainer information adds to the suspicion, though it does not conclusively indicate malicious intent.

  • High obfuscation risk due to deeply nested eval() calls
  • Potential credential harvesting through path traversal attempts
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external communications for its functionality.
  • Shell: No shell execution detected, indicating no direct command-line interface manipulations.
  • Obfuscation: The presence of deeply nested eval() calls and obfuscated patterns suggests potential for code execution, indicating high risk.
  • Credentials: The detection of path traversal attempts and validation of agent IDs with suspicious strings indicates potential for credential harvesting, indicating significant risk.
  • Metadata: The maintainer's author name is missing and they appear to be new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.8/10)

✦ High Test Suite 9.0

Test suite present — 15 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 15 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://arsiaprotocol.org
  • Detailed PyPI description (6545 chars)
✦ High Contributing Guide 9.0

Has contribution guidelines and governance files

  • Governance file: security.py
  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 435 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 10 commits in arsialabs/arsia-protocol-sdk
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • xt/html", "<script", "eval(", "function(", "import(", ) def _contains_executa
  • lf): """Deeply nested eval() must still be detected. Threat: Hide executable co
  • d = {"a": {"b": {"c": [{"d": "eval(malicious_code)"}]}}} assert _contains_executable_co
✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 7.5

Found 3 credential access pattern(s)

  • """agent:evil/../../../etc/passwd must be rejected. Threat: Path traversal in agent I
  • _agent_id("agent:evil/../../../etc/passwd") is False assert len(validate_agent_id("agent:evil
  • _agent_id("agent:evil/../../../etc/passwd")) > 0 def test_agent_id_with_unicode_homoglyph(self):
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: arsialabs.ai>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository arsialabs/arsia-protocol-sdk appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with arsia-protocol 
Create a mini-application named 'AgentComplianceChecker' using the Python package 'arsia-protocol'. This application will serve as a tool for developers and administrators to ensure their autonomous AI agents comply with specific message types and signing protocols defined by the ARSIA protocol. Here’s a detailed breakdown of the project requirements:

1. **Application Overview**: Develop a command-line interface (CLI) tool that allows users to validate whether an AI agent's messages adhere to the ARSIA protocol standards. The application should support different compliance profiles, enabling it to verify messages based on varying security and operational requirements.

2. **Core Features**:
   - **Message Validation**: Implement functionality to check if incoming messages from AI agents are properly signed using the EdDSA algorithm as specified by the ARSIA protocol.
   - **Profile Configuration**: Allow users to configure different compliance profiles within the application. Each profile should define specific rules for message types, required signatures, and other relevant criteria.
   - **Interactive CLI**: Provide a user-friendly CLI where users can input messages, select compliance profiles, and receive validation results.

3. **Implementation Steps**:
   - **Setup Project Environment**: Initialize a new Python project and install necessary dependencies, including the 'arsia-protocol' package.
   - **Define Compliance Profiles**: Create a module within your application to store and manage different compliance profiles. These profiles should be customizable and include settings like required message types and signature algorithms.
   - **Message Parsing and Validation**: Utilize the 'arsia-protocol' package to parse incoming messages and validate them against the selected compliance profile. Ensure the application can handle both successful and failed validations, providing appropriate feedback to the user.
   - **User Interface Design**: Design an intuitive CLI that guides users through the process of selecting compliance profiles and inputting messages for validation.

4. **Advanced Features (Optional)**:
   - **Automated Testing**: Include a feature that automatically tests the application against predefined sets of compliant and non-compliant messages.
   - **Logging and Reporting**: Implement logging and reporting capabilities to track validation outcomes over time, helping users identify trends and potential issues.

5. **Utilization of 'arsia-protocol' Package**:
   - Use the 'arsia-protocol' package to facilitate EdDSA signing and verification processes. Leverage its message type definitions and compliance profiles to ensure your application adheres to the ARSIA protocol standards.

By following these steps, you'll create a valuable tool for ensuring the integrity and security of communications between autonomous AI agents, all while showcasing the power and versatility of the 'arsia-protocol' package.

💬 Discussion Feed

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