amd-node-scraper

v1.1.6 suspicious
5.0
Medium Risk

A framework for automated error detection and data collection

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate risk profile due to its execution of arbitrary shell commands and lack of clear documentation regarding external network interactions. These factors raise concerns about potential misuse.

  • High shell risk due to execution of arbitrary commands
  • Lack of clear documentation for external network calls
Per-check LLM notes
  • Network: The use of an SSL session with verification suggests secure network interaction, but the absence of clear documentation or purpose for external calls is concerning.
  • Shell: Executing arbitrary commands via the shell can be risky and may indicate potential for misuse or embedding of a backdoor, especially without explicit user consent.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author 'AMD' has only one package, which could indicate a new or less active maintainer, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "documentation" -> https://github.com/amd/node-scraper
  • 7 documentation file(s) (e.g. generate_plugin_doc_bundle.py)
  • Detailed PyPI description (23593 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 5.0

Partial type annotation coverage

  • 186 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 8 unique contributor(s) across 100 commits in amd/node-scraper
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • self._session = requests.Session() self._session.verify = self.verify_ssl
  • _params self.client = paramiko.SSHClient() self.client.load_system_host_keys() self.c
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • end -->. """ result = subprocess.run( [sys.executable, "-m", "nodescraper.cli.cli", "-h"]
  • udo {command}" res = subprocess.run( command, encoding="utf-8",
  • encoding="utf-8", shell=True, errors="replace", timeout=timeout,
✓ 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

Repository amd/node-scraper appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AMD" 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 amd-node-scraper 
Create a web-based stock monitoring tool using Python's 'amd-node-scraper' package. This application will allow users to track multiple stocks in real-time and receive alerts when specific conditions are met. Here’s a detailed breakdown of the project requirements:

1. **User Authentication**: Implement user registration and login functionalities to ensure secure access to the stock tracking dashboard.
2. **Stock Selection Interface**: Develop a user-friendly interface where users can select stocks they wish to monitor. This includes searching for stocks by ticker symbol and adding them to their watchlist.
3. **Real-Time Data Collection**: Utilize 'amd-node-scraper' to scrape real-time stock price data from financial websites such as Yahoo Finance or Google Finance. Ensure the scraper is efficient and respects website scraping policies.
4. **Alert System**: Users should be able to set up custom alerts based on stock price changes. For example, if a stock price increases by 5% from its current value, the system should notify the user via email or SMS.
5. **Dashboard Display**: Design a dashboard that visually represents the performance of each monitored stock. Include graphs showing historical trends and real-time updates.
6. **Notification Engine**: Integrate a notification engine that triggers alerts based on predefined conditions. Notifications can be sent through emails or SMS using services like SendGrid or Twilio.
7. **Data Persistence**: Store user data and stock information in a database. Consider using SQLite for simplicity or PostgreSQL for more advanced features.
8. **Responsive Design**: Ensure the web application is responsive and works well on both desktop and mobile devices.

**Utilizing 'amd-node-scraper'**: The core functionality of 'amd-node-scraper' lies in its ability to automate the process of data collection from web pages. In this project, it will be used to periodically fetch updated stock prices from financial websites. Users will be able to specify which stocks they want to monitor, and 'amd-node-scraper' will handle the task of fetching the latest data at regular intervals. Additionally, it can be configured to detect errors in the data collection process, ensuring reliable and accurate stock price information is provided to the users.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!