arc-avs-sdk

v1.0.0a10 suspicious
5.0
Medium Risk

ARC privacy framework: PQ-encrypted, attested, validator-anchored data layer for any application.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation and lacks a public repository, raising concerns about its legitimacy and transparency.

  • High obfuscation risk due to base64 decoding and custom decoding functions.
  • No publicly available repository, indicating low activity or newness.
Per-check LLM notes
  • Network: The network call pattern suggests legitimate HTTP POST requests, possibly for API interactions or service communications.
  • Shell: No shell execution patterns detected.
  • Obfuscation: The use of base64 decoding and custom decoding functions may indicate an attempt to obfuscate code, but without additional context, it could also be legitimate data handling.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The repository is not found and the maintainer has only one package, indicating potential low activity or newness which raises some suspicion.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://arc-avs.com/sdk
  • Detailed PyPI description (5960 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 170 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • essages}) async with httpx.AsyncClient(timeout=60) as client: r = await client.post(
Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • env = decode_envelope(base64.b64decode(props["envelope"])) shredded = base64.b64enc
  • env = decode_envelope(base64.b64decode(str(props["envelope"]))) idx = index_fields_from_jso
Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

No author email provided

Suspicious Page Links

All external links appear legitimate

Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ARC AVS" 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 arc-avs-sdk
Create a secure, privacy-focused mini-app called 'SecureNote' using the Python package 'arc-avs-sdk'. SecureNote will allow users to store and share encrypted notes while ensuring data privacy and integrity through the use of post-quantum encryption, attestation, and validator-anchored storage mechanisms provided by 'arc-avs-sdk'.

### Project Goals:
1. **User Authentication**: Implement user registration and login functionalities. Each user should have a unique identifier and be able to securely authenticate their identity.
2. **Note Creation & Storage**: Users should be able to create and store encrypted notes. These notes should be stored in a way that only the owner can decrypt them.
3. **Data Integrity**: Ensure that each note's integrity is maintained and that any tampering attempts can be detected.
4. **Note Sharing**: Allow users to share their notes with other users securely. When sharing, ensure that the recipient can verify the authenticity of the shared note.
5. **Validator-Anchored Storage**: Utilize the validator-anchored storage feature of 'arc-avs-sdk' to ensure that the data is not only stored securely but also verified by trusted validators.

### Suggested Features:
- **Post-Quantum Encryption**: Use the PQ-encrypted capabilities of 'arc-avs-sdk' to encrypt all stored notes.
- **Attestation**: Implement attestation to verify the authenticity of the users and the notes they create or receive.
- **Validator Verification**: Integrate the validator-anchored storage mechanism to verify the integrity and origin of the notes.
- **User Interface**: Develop a simple and intuitive web interface where users can interact with the app.
- **Security Alerts**: Notify users if there are any security breaches or suspicious activities related to their account or notes.

### How to Utilize 'arc-avs-sdk':
- For User Authentication: Use 'arc-avs-sdk' to securely manage user credentials and authenticate users.
- For Note Creation & Storage: Encrypt notes using the PQ-encryption methods provided by 'arc-avs-sdk' before storing them.
- For Data Integrity: Leverage the attestation and validator-anchored storage features to maintain the integrity of the notes.
- For Note Sharing: Use 'arc-avs-sdk' to securely share notes between users, including verifying the recipient's identity and the note's authenticity.

Develop 'SecureNote' as a fully functional mini-app that demonstrates the practical application of 'arc-avs-sdk' in real-world scenarios, focusing on enhancing data privacy and security.

💬 Discussion Feed

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