avacube

v0.1.0a7 suspicious
5.0
Medium Risk

The official Python library for the avacube API

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of obfuscation and metadata risks, which raise suspicion but do not conclusively point to malicious intent. Further scrutiny is advised.

  • Obfuscation risk due to encoded strings
  • Metadata risk due to insecure links and a new maintainer with no history
Per-check LLM notes
  • Network: The use of httpx.Client without a timeout might indicate risky network behavior, but the presence of network calls alone does not confirm malicious activity.
  • Shell: No shell execution patterns detected, indicating low risk of direct system command execution.
  • Obfuscation: The presence of encoded strings suggests potential obfuscation to hide code logic, but it's not conclusive without further analysis.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The presence of non-secure links and a new maintainer with no history raises concerns.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 15 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 15 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (12661 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 521 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 32 commits in codemusket/avacube-python
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • t should be used with httpx.Client(timeout=None) as http_client: client = Avacube(
  • he httpx default with httpx.Client() as http_client: client = Avacube(
  • it being ignored with httpx.Client(timeout=HTTPX_DEFAULT_TIMEOUT) as http_client: c
  • arg"): async with httpx.AsyncClient() as http_client: Avacube(
  • True, http_client=httpx.Client(transport=MockTransport(handler=mock_handler)), ) as
  • , http_client=httpx.Client(), ), ], ids=["standard", "custo
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • \xd0\xb7\xd0" yield b"\xb2\xd0\xb5\xd1\x81\xd1\x82\xd0\xbd\xd0\xb8" yield b'"}\n' yield b"\n" iterator =
✓ 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: avacube.com>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://my.test.server.example.com:8083
  • Non-HTTPS external link: http://my.test.proxy.example.com
⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 avacube 
Create a mini-application that serves as a personal finance tracker using the avacube Python package. This application will integrate seamlessly with the user's financial accounts through the avacube API, allowing for real-time tracking of spending habits and income. Here’s a detailed plan on how to approach building this application:

1. **Setup**: Begin by installing the necessary packages including avacube. Ensure your environment is set up correctly for development.
2. **Authentication**: Implement a secure method for users to authenticate their financial accounts through avacube. This involves setting up OAuth2 or similar protocols to allow users to connect their accounts without exposing sensitive information.
3. **Data Retrieval**: Utilize the avacube package to retrieve financial data such as transaction history, account balances, and investment performance. Ensure you handle the data efficiently to provide real-time updates.
4. **User Interface**: Develop a simple yet intuitive UI where users can view their financial data. Consider using frameworks like Streamlit or Flask for quick prototyping.
5. **Analysis & Visualization**: Implement basic analysis tools within the app to help users understand their spending patterns better. Visualizations such as pie charts showing spending categories or line graphs illustrating monthly expenses over time can be very insightful.
6. **Budgeting Tools**: Allow users to set budgets and track their spending against these budgets. Provide alerts when they are nearing their limits.
7. **Reporting**: Enable users to generate reports summarizing their financial activities over specific periods. These could include monthly summaries, yearly reviews, etc.
8. **Security Measures**: Since dealing with financial data, ensure all data transmissions are encrypted and stored securely. Follow best practices for handling sensitive information.
9. **Testing & Validation**: Thoroughly test the application to ensure accuracy and reliability of data retrieval and display. Validate all user inputs and outputs.

The avacube package plays a crucial role here by providing the interface to interact with financial APIs, retrieving and processing financial data efficiently. By leveraging avacube, you can focus more on building the application logic and user experience rather than worrying about the intricacies of financial data handling.

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