FinLogic

v0.7.1 safe
3.0
Low Risk

Finance toolkit for listed Brazilian companies

🤖 AI Analysis

Final verdict: SAFE

The package FinLogic v0.7.1 shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential risks. The metadata risk is slightly elevated due to the author having only one package, but this alone does not suggest a supply-chain attack.

  • No network calls
  • No shell execution
  • No obfuscation
  • No credential harvesting
  • Single package from author
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution detected, indicating no direct command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, which might indicate a new or less active account, but there are no other suspicious flags.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ 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: outlook.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository crdcj/FinLogic appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Carlos Carvalho" 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 FinLogic 
Create a financial analysis tool called 'Brazilian Stock Scout' using the Python package 'FinLogic'. This application will allow users to input the stock symbol of a listed Brazilian company and receive a comprehensive financial report. The report should include key metrics such as market capitalization, earnings per share (EPS), price-to-earnings ratio (P/E), dividend yield, and revenue growth over the last five years. Additionally, the app should provide a comparative analysis feature where users can compare two different stocks based on these metrics. Utilize the 'FinLogic' package to fetch real-time financial data and perform calculations. The user interface should be simple and intuitive, possibly implemented using a web framework like Flask. Include features such as saving favorite stocks, setting up alerts for significant changes in financial metrics, and generating PDF reports of the financial analyses. Ensure the application handles errors gracefully and provides informative feedback to the user.

💬 Discussion Feed

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