autojinja

v1.14.2 suspicious
5.0
Medium Risk

Content generation with Jinja templates in between comments

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package autojinja v1.14.2 is flagged as suspicious due to its use of compile and exec functions which can be used for obfuscation and potential malicious activity. While there are no direct signs of malicious intent, the risks associated with these features and the maintainers' metadata warrant caution.

  • Obfuscation risk due to use of compile/exec
  • Maintainer has only one package, indicating potential risk
Per-check LLM notes
  • Network: No network calls were detected, which is generally not suspicious.
  • Shell: Shell execution might be used for legitimate purposes like running scripts, but it requires further investigation to ensure it's not being misused.
  • Obfuscation: The usage of compile and exec on potentially modified source code indicates obfuscation techniques, which could be used to hide malicious activities.
  • Credentials: No patterns indicative of credential harvesting were found.
  • Metadata: The maintainer has only one package, suggesting a new or less active account which could indicate potential risk.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

  • 6 test file(s) detected (e.g. test_exceptions.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5381 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

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

Limited contributor diversity

  • 1 unique contributor(s) across 93 commits in ldflo/autojinja
  • Single author but highly active (93 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • rom_spec(spec) codeobj = compile(new_source, module.__spec__.origin, "exec") exec(codeobj, module.__dict__) sys.modules[modu
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • in files: process = subprocess.Popen([sys.executable, "-u", script],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ldflo/autojinja appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Florian Popek" 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 autojinja 
Develop a dynamic personal resume generator using the 'autojinja' package in Python. This application will allow users to input their personal details, professional experience, education, and skills, which will then be dynamically rendered into a professional-looking PDF resume. The resume will be customized based on the user's preferences for layout and style.

### Features:
- User-friendly form for data entry
- Support for multiple sections such as personal information, work experience, education, and skills
- Customizable templates for different job roles (e.g., software engineer, graphic designer)
- Option to preview the resume before generating the final PDF
- Ability to download the generated resume in PDF format

### Steps to Build the Application:
1. **Set Up Your Environment**: Ensure you have Python installed along with necessary packages including 'autojinja', 'PyPDF2', and 'tkinter'.
2. **Design the User Interface**: Use 'tkinter' to create a simple GUI where users can input their details. Each section (personal info, work experience, etc.) should have its own frame within the GUI.
3. **Implement Data Entry Forms**: For each section, design forms where users can enter relevant information. Include fields for dates, descriptions, locations, etc.
4. **Integrate 'autojinja'**: Use 'autojinja' to dynamically render the content from the user's input into a Jinja template. The template should be designed to accept placeholders for all the information provided by the user.
5. **Customize Templates**: Provide a selection of predefined templates that users can choose from. Each template should have its own Jinja file stored locally.
6. **Preview Functionality**: Implement a preview button that allows users to see how their resume will look before downloading it. This should render the Jinja template with the current user inputs.
7. **Generate PDF Resume**: Once the user is satisfied with the preview, implement a function to generate the resume in PDF format using the rendered Jinja template and 'PyPDF2'.
8. **Save and Download**: Allow users to save and download the generated PDF resume.

### Utilizing 'autojinja':
'autojinja' simplifies the process of rendering Jinja templates directly within your Python script. Instead of manually parsing and substituting placeholders in a string, 'autojinja' allows you to write your template within comments in your Python code. This makes it easy to manage complex templates while keeping your logic clean and readable. In this project, you'll use 'autojinja' to dynamically insert user-provided content into your resume templates, ensuring that each generated resume is unique and tailored to the individual.

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