🤖 AI Analysis

Final verdict: SUSPICIOUS

The package uses obfuscation techniques which raises concerns about its intent and transparency. However, there is no evidence of credential harvesting or other overt malicious activities.

High obfuscation risk
No clear signs of credential theft

Per-check LLM notes

Obfuscation: The code uses obfuscation techniques such as dynamic imports and renaming variables which could be used to hide malicious activities.
Credentials: No clear patterns of credential harvesting were detected.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

e == "file" and os.path.isdir(urllib.request.url2pathname(path)): # add trailing slash if not pre

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

remove_shim = _remove_shim __import__('_distutils_hack').do_override() from typing import List, Optional __version
_resources" try: __import__(f"pip._vendor.{module_name}", globals(), locals(), level=0) return getattr(pip._vendor, mod
is done within pip. try: __import__("_distutils_hack").remove_shim() except (ImportError, AttributeError): pas

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

try: proc = subprocess.run(pip_cmd) returncode = proc.returncode ex
) try: subprocess.check_call(f'{editor} "{fname}"', shell=True) except FileNotFou
k_call(f'{editor} "{fname}"', shell=True) except FileNotFoundError as e: if not

✓ 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 score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Kaua Persich" 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 DocAut-Padronizado

Develop a mini-application called 'AutoDocGen' using the Python package 'DocAut-Padronizado'. This application aims to automate the generation of technical documentation and service manuals in DOCX format for automation robots. The application should include the following steps and features:

1. **User Interface**: Create a simple command-line interface (CLI) where users can input details about their automation robot such as name, purpose, key functionalities, and any specific notes.
2. **Documentation Structure**: Use 'DocAut-Padronizado' to define a standardized structure for the documentation. This should include sections like Introduction, Technical Specifications, Usage Instructions, Maintenance Guide, and Troubleshooting.
3. **Dynamic Content Generation**: Based on user inputs, dynamically generate content for each section of the documentation. Ensure that the generated content is coherent and informative.
4. **Customization Options**: Allow users to customize certain aspects of the documentation, such as adding company logos, changing fonts, and adjusting margins.
5. **Output Format**: Ensure that the final output is a well-formatted DOCX file that can be easily edited or printed.
6. **Integration with Automation Robots**: Demonstrate how the generated documentation can be integrated into existing automation workflows. This could involve embedding links to the documentation within the robot's software or providing a script to automatically update the documentation based on changes in the robot's functionality.
7. **Testing and Validation**: Implement a feature to validate the generated documentation against predefined standards. This ensures that all necessary information is included and formatted correctly.

By utilizing 'DocAut-Padronizado', your application will streamline the process of creating high-quality, standardized documentation for automation robots, making it easier for both developers and end-users to understand and maintain these systems.