awid-service

v0.5.11 suspicious
6.0
Medium Risk

awid.ai identity registry service and shared awid primitives package

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to its execution of shell commands and incomplete metadata, which could indicate potential security vulnerabilities or low effort in maintenance.

  • High shell risk
  • Incomplete metadata
Per-check LLM notes
  • Network: The use of an HTTP client is common and may be necessary for the package's functionality.
  • Shell: Executing shell commands can be risky if not properly sanitized or controlled, suggesting potential for unintended behavior or security vulnerabilities.
  • Obfuscation: Base64 decoding is commonly used for data encoding and may not necessarily indicate malicious activity.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: Low author activity and incomplete metadata suggest potential low effort or abandoned project, but no clear signs of malicious intent.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 20 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/awebai/aweb/tree/main/docs
  • Detailed PyPI description (1129 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

  • 394 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in awebai/aweb
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • "_http_client", httpx.AsyncClient( timeout=self.timeout_seconds,
⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • ing") try: return base64.b64decode(value + "=" * (-len(value) % 4), validate=True) except E
  • )) % 4) signature_bytes = base64.b64decode(padded) digest = hashlib.sha256(identity_canonical + sig
  • ) % 4) try: raw = base64.b64decode(padded, altchars=b"-_", validate=True) except Exception:
  • try: raw = base64.b64decode(padded, validate=True) except Exception:
  • % 4) try: return base64.b64decode(padded, validate=True) except Exception as exc:
  • n None try: raw = base64.b64decode(value, validate=True) cert = json.loads(raw) exc
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • lay}", flush=True) return subprocess.run( cmd, cwd=str(cwd), env=env,
  • ql: str) -> str: result = subprocess.run( ["psql", "-At", "-v", "ON_ERROR_STOP=1", database_u
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: juanreyero.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository awebai/aweb appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with awid-service 
Create a mini-application called 'IdentityGuard' using the 'awid-service' Python package. IdentityGuard is designed to streamline user identity management for a small organization, leveraging the awid.ai identity registry service. The application will allow users to register, verify their identities, and manage access levels based on predefined roles within the organization. Here's a detailed step-by-step guide on what your application should do and how it should utilize the 'awid-service' package:

1. **User Registration**: Implement a feature where new users can register with basic information such as name, email, and role within the organization. Utilize the 'awid-service' package to securely store and manage this user data.
2. **Identity Verification**: After registration, users need to verify their identity. This can be done through a verification process facilitated by the 'awid-service', which might include email confirmation or other secure methods.
3. **Role-Based Access Control**: Define different roles within the organization (e.g., Admin, Manager, Employee). Use the 'awid-service' to assign and manage these roles for each user, ensuring that only authorized users have access to specific functionalities within the application.
4. **User Dashboard**: Create a dashboard where users can view their profile information, update their details, and see their assigned roles and permissions. Ensure that the dashboard reflects the latest changes made via the 'awid-service'.
5. **Security Enhancements**: Integrate security measures provided by the 'awid-service' to protect user data and ensure the integrity of the identity management system. This includes encryption of sensitive data and secure transmission protocols.
6. **Reporting and Analytics**: Implement reporting features that provide insights into user activity and compliance with organizational policies. Use the analytics capabilities of the 'awid-service' to generate these reports.

To achieve these functionalities, you will need to familiarize yourself with the 'awid-service' package's API documentation, particularly focusing on how to integrate its services for user registration, identity verification, role management, and security enhancements. Additionally, consider designing a user-friendly interface for both administrators and regular users to interact with the IdentityGuard application.

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