aps-common-libraries

v1.0.41 suspicious
5.0
Medium Risk

APS Common Libraries

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high obfuscation risk which might indicate attempts to hide malicious activities or logic, while other risks remain moderate. Given these factors, the package warrants closer scrutiny.

  • High obfuscation risk
  • Unverified maintainer with limited history
Per-check LLM notes
  • Network: No network calls detected, which is typical and not suspicious.
  • Shell: Shell execution appears to be for opening files based on the operating system, which seems benign but should be reviewed within the context of the package's intended use.
  • Obfuscation: The observed patterns suggest intentional obfuscation which could be used to hide code logic or evade detection, indicating potential risk.
  • Credentials: No clear signs of credential harvesting detected, but further analysis may be required to rule out subtle or indirect methods.
  • Metadata: The repository is not found and the maintainer has only one package, which may indicate a new or less active account.

📦 Package Quality Overall: Low (4.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_splitter.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Separate author ("Luca Rebuffi") and maintainer ("XSD-OPT Group @ APS-ANL") listed
  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 74 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 5 obfuscation pattern(s)

  • ---------------- # __path__ = __import__("pkgutil").extend_path(__path__, __name__) # #########################
  • ################## __path__ = __import__("pkgutil").extend_path(__path__, __name__) #!/usr/bin/env python # -*-
  • six.string_types): package = __import__(package, fromlist=[""]) return os.path.dirname(package.__file__) #############
  • ance(package, str): package = __import__(package, fromlist=[""]) return os.path.dirname(package.__file__) def round_to_
  • hex_tring(hex_string): return pickle.loads(bytes.fromhex(hex_string)) class SerializableObject(object)
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • if system == "Darwin": subprocess.run(["open", str(path)], check=True) elif system == "Windows
  • elif system == "Linux": subprocess.run(["xdg-open", str(path)], check=True) else: raise OSError
  • open, PIPE def sys_exec(cmd, shell=True, env=None): if env is None: env = os.environ a = Po
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: anl.gov

✓ 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 2.0

1 maintainer concern(s) found

  • Author "Luca Rebuffi" 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 aps-common-libraries 
Your task is to develop a simple yet powerful personal finance tracker app using Python, leveraging the 'aps-common-libraries' package. This app will allow users to log their daily expenses, categorize them, view monthly summaries, and export data in CSV format for further analysis.

### Project Overview:
- **Name:** FinTrack
- **Purpose:** To help users manage their finances efficiently by logging expenses and generating reports.
- **Target Users:** Individuals looking to track their daily spending habits.

### Core Features:
1. **Expense Logging:** Allow users to input their daily expenses with details such as amount, date, and category.
2. **Category Management:** Provide a system where users can create, edit, and delete expense categories.
3. **Monthly Summaries:** Generate monthly summaries of expenses, broken down by category.
4. **CSV Export:** Enable users to export their expense logs into a CSV file for backup or detailed analysis.

### Utilizing 'aps-common-libraries':
- Use 'aps-common-libraries' to handle database interactions efficiently, ensuring data integrity and security.
- Leverage any specific modules within 'aps-common-libraries' that offer utilities for date/time handling, logging, or file management, which are crucial for this application.
- Ensure that your implementation demonstrates the versatility and robustness of 'aps-common-libraries' in real-world applications.

### Development Steps:
1. Set up your development environment with Python and install 'aps-common-libraries'.
2. Design the database schema considering the needs of expense tracking.
3. Implement functionality for adding, editing, and deleting expenses and categories.
4. Develop a feature to generate monthly expense summaries.
5. Add support for exporting expense logs into CSV files.
6. Test each feature thoroughly to ensure reliability.
7. Document your code and write a README.md explaining how to set up and use FinTrack.

### Additional Suggestions:
- Consider adding a GUI interface using a library like Tkinter for better user interaction.
- Implement a feature that suggests budgeting based on historical spending patterns.
- Allow users to set reminders for upcoming bills or payments.

This project aims to showcase not only the capabilities of 'aps-common-libraries' but also your ability to design and implement a functional, user-friendly application.

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