ai-fde

v0.0.1 suspicious
4.0
Medium Risk

Reserved package name.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package ai-fde v0.0.1 has minimal risks associated with network calls, shell execution, and obfuscation. However, the metadata suggests it might be newly created with little activity, which raises suspicion.

  • Metadata risk score of 4 out of 10 due to recent creation and low activity.
  • No other significant risks identified.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate usage without secret theft concerns.
  • Metadata: The package shows signs of being newly created with minimal activity and metadata, raising some suspicion but not definitive evidence of malice.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Victor Sanh" 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 ai-fde 
Create a Python-based mini-application named 'SecureNote' which allows users to encrypt and decrypt notes using symmetric key cryptography. The application should utilize the 'ai-fde' package, which is assumed to provide functionalities for full disk encryption but will be creatively adapted for file-level encryption of text notes in this scenario.

The application should include the following features:
1. User Registration: Users should be able to register and log in to their accounts.
2. Note Creation: Once logged in, users can create new notes. Each note should be automatically encrypted using a secure key managed by the 'ai-fde' package.
3. Note Encryption: When a user creates or edits a note, it should be encrypted on-the-fly using the 'ai-fde' package.
4. Note Decryption: Upon retrieval, notes should be decrypted seamlessly so that the user can read them without manual intervention.
5. Key Management: The application should securely manage encryption keys, ensuring they are stored safely and not exposed to unauthorized access.
6. Backup and Restore: Users should have the option to back up their encrypted notes and restore them from a backup location.
7. User Interface: Develop a simple command-line interface for interaction. Alternatively, if time permits, consider developing a basic GUI using a Python library such as Tkinter.

The 'ai-fde' package is expected to provide functions for encryption and decryption of files, which you will adapt for text notes. Ensure your implementation demonstrates a good understanding of cryptographic principles and best practices.

💬 Discussion Feed

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