amelis2dame

v0.2.6 safe
3.0
Low Risk

A library and CLI tool to fetch and decrypt S/MIME encrypted emails and extract PDF attachments.

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with minimal risks identified. The lack of network calls, shell executions, obfuscation, and credential harvesting suggests a low-risk profile.

  • No network calls detected.
  • No shell execution detected.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API interactions.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or system compromise.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Low activity and lack of additional information suggest potential low effort or new maintainer, but no clear indicators of malicious intent.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (8419 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

  • 19 type-annotated function signatures detected in source
○ 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

Email domain looks legitimate: nerdocs.at>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Christian Gonzalez" 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 amelis2dame 
Create a Python-based mini-application named 'SMEasyDecrypt' that leverages the 'amelis2dame' package to simplify the process of fetching, decrypting, and extracting PDF attachments from S/MIME encrypted emails. This application should serve as a user-friendly tool for individuals or businesses that frequently deal with secure email communications containing sensitive PDF documents.

Step-by-Step Functionality:
1. User Authentication: Upon launching SMEasyDecrypt, users should authenticate their credentials to access their email account via IMAP protocol.
2. Email Fetching: Once authenticated, the application should allow users to specify a date range or search criteria to fetch relevant emails.
3. Decryption Process: For each fetched email, the application should use the 'amelis2dame' package to decrypt any S/MIME encrypted content.
4. Attachment Extraction: After decryption, the application should identify and extract all PDF attachments from the email.
5. Output Management: Users should have options to save extracted PDFs to a specified directory or view them directly within the application.
6. Error Handling: Implement robust error handling to manage issues such as invalid credentials, missing attachments, or decryption errors.
7. Logging & Reporting: Maintain logs of operations performed and generate reports summarizing the number of emails processed, decrypted, and the number of PDFs extracted.

Suggested Features:
- Support for multiple email accounts.
- Option to automatically process new emails based on user-defined rules.
- Integration with cloud storage services for storing extracted PDFs.
- GUI interface for ease of use.
- Command-line interface for batch processing and scripting capabilities.
- Notifications for successful operations and error alerts.

The 'amelis2dame' package will be crucial in facilitating the decryption and attachment extraction processes, ensuring that the application can handle the complexities of S/MIME encryption efficiently.

💬 Discussion Feed

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