aiphoria

v0.9.5 suspicious
4.0
Medium Risk

Dynamic MFA tool

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation through the use of eval with dynamically named variables, raising concerns about code injection risks. However, the absence of network calls, shell executions, and credential risks, along with incomplete maintainer information, suggest a moderate risk that does not definitively point to a supply-chain attack but warrants further investigation.

  • Obfuscation risk due to eval usage
  • Incomplete maintainer information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires it.
  • Shell: No shell execution detected, indicating the package does not attempt to execute system commands.
  • Obfuscation: The use of eval with dynamically named variables is suspicious and could indicate obfuscation or code injection risks.
  • Credentials: No clear evidence of credential harvesting patterns detected.
  • Metadata: The maintainer's author information is incomplete, indicating potential lack of transparency.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 14 test file(s) found

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

Some documentation present

  • 1 documentation file(s) (e.g. dynamic_stock.py)
  • Detailed PyPI description (4500 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 186 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 6 unique contributor(s) across 100 commits in EuropeanForestInstitute/aiphoria
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • y_name('Cover') IM = eval(IndexMatch) # List that matches model aspects to parameter i
  • arfile['Cover'] IM = eval(IndexMatch) # List that matches model aspects to parameter i
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: efi.int>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository EuropeanForestInstitute/aiphoria 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 aiphoria 
Your task is to develop a mini-application that leverages the 'aiphoria' Python package to implement a dynamic Multi-Factor Authentication (MFA) system for user accounts. This system will enhance security by requiring users to provide multiple forms of verification before gaining access to their account. The application should include a user-friendly interface for both administrators and end-users.

### Key Features:
1. **User Registration:** Users should be able to register new accounts with basic information (username, email, password).
2. **MFA Setup:** After registration, users should be guided through setting up MFA. They can choose from various factors such as SMS, email, authenticator apps, or hardware tokens.
3. **Login Process:** During login, users must first authenticate with their username and password, followed by a second factor chosen during MFA setup.
4. **Admin Interface:** Administrators should have access to manage MFA settings for all users, including enabling/disabling MFA, resetting MFA keys, and viewing MFA status.
5. **Security Alerts:** Implement real-time alerts for suspicious activities, such as multiple failed login attempts or MFA bypass attempts.
6. **User Feedback:** Provide clear feedback messages to guide users through each step of the authentication process.
7. **Backup Codes:** Generate backup codes for users in case they lose access to their primary MFA method.

### Utilizing 'aiphoria':
- Use 'aiphoria' to dynamically configure and enforce multi-factor authentication based on user preferences and security policies.
- Leverage 'aiphoria's capabilities to integrate different MFA methods seamlessly into your application.
- Implement real-time monitoring and alerting functionalities using 'aiphoria's security features.
- Ensure the application can handle exceptions gracefully and securely, maintaining user data integrity at all times.

Your goal is to create a robust, secure, and user-friendly MFA solution that demonstrates the power and flexibility of the 'aiphoria' package.

💬 Discussion Feed

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