AI Analysis
Final verdict: SUSPICIOUS
The package shows high obfuscation risk and low activity in terms of package maintenance, raising concerns about its legitimacy and potential hidden functionality.
- High obfuscation risk
- Low metadata risk indicating possible new or less active account
Per-check LLM notes
- Network: No network calls detected, which is normal for a PDF processing package.
- Shell: No shell execution detected, indicating the package does not attempt to run external commands.
- Obfuscation: The observed patterns resemble obfuscated or encoded data rather than clear text, indicating potential for malicious activity or secure data handling.
- Credentials: No clear signs of credential harvesting or secret handling are present in the provided snippets.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 10.0
Found 5 obfuscation pattern(s)
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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
Repository chinapandaman/PyPDFForm appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Jinge Li" 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 PyPDFForm
Your task is to develop a simple yet powerful PDF form management tool using the PyPDFForm package in Python. This tool will allow users to easily fill out PDF forms programmatically, which can be particularly useful for repetitive tasks such as generating invoices, surveys, or any other form-based data entry processes.
The application should include the following core functionalities:
1. **Form Loading**: The user should be able to load a PDF form file into the application. The form must be a valid PDF form with fields that can be filled out.
2. **Field Filling**: Users should be able to specify field values either through direct input or from a provided CSV file. Each row in the CSV file corresponds to one set of field values.
3. **Form Saving**: Once all fields are filled, the application should save the filled form as a new PDF file. Optionally, it could also send the filled form via email if configured.
4. **Batch Processing**: For efficiency, the application should support batch processing where multiple sets of field values can be applied to the same form template, producing multiple filled forms.
5. **Error Handling**: Robust error handling should be implemented to manage cases where a field cannot be found in the form or when the form loading fails.
Additionally, consider implementing these optional advanced features:
- **Field Validation**: Implement validation rules for each field to ensure the data entered meets certain criteria (e.g., date format, email validation).
- **User Interface**: Create a simple GUI interface using a library like Tkinter or PyQt for better usability.
- **Configuration File**: Allow users to configure settings such as default form paths, email recipients, etc., through a configuration file.
- **Logging**: Implement logging to keep track of operations performed by the application, including successes and failures.
For each feature, describe how you would use the PyPDFForm package to achieve the functionality. For example, to load a form, you might use `form = PyPDFForm.load('path/to/form.pdf')`. To fill out a field, you might use `form.fill_field('field_name', 'field_value')`. Finally, to save the filled form, you would use `form.save('path/to/filled_form.pdf')`.