algokit-subscriber

v1.0.1 suspicious
4.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some obfuscation techniques that could be used to conceal malicious activities, though it does not show strong signs of credential theft or other overtly malicious behavior.

  • Use of base64 decoding and hexadecimal conversion suggests potential obfuscation.
  • Maintainer has only one package, indicating possible new or less active account.
Per-check LLM notes
  • Obfuscation: The code uses base64 decoding and hexadecimal conversion which could be part of legitimate data processing but also might indicate an attempt to hide code logic.
  • Credentials: No clear patterns indicative of credential harvesting were detected.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but there are no other suspicious indicators.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (10199 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

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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • ) ] hex_prefixes = [base64.b64decode(log).hex()[:8] for log in logs] # check if any of the h
  • ction.get("id", ""), [base64.b64decode(log) for log in transaction.get("logs") or []], even
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Algorand Foundation" 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 algokit-subscriber 
Create a real-time Algorand blockchain event tracker using the Python package 'algokit-subscriber'. Your application should monitor specific transactions or state changes on the Algorand network and notify users via email or SMS when certain events occur. Here’s a detailed breakdown of the project requirements:

1. **Setup Environment**: Ensure you have Python installed and create a virtual environment for your project.
2. **Install Dependencies**: Use pip to install 'algokit-subscriber' along with other necessary packages such as 'requests' for HTTP requests and 'twilio' for SMS notifications.
3. **Configuration File**: Create a configuration file where you can store API keys, email credentials, and other sensitive information securely.
4. **Event Subscription**: Utilize 'algokit-subscriber' to subscribe to specific types of events on the Algorand blockchain, such as account transactions, asset creations, or smart contract calls.
5. **Notification System**: Implement a notification system that sends alerts via email using SMTP or SMS using Twilio when the subscribed events occur.
6. **User Interface**: Develop a simple web interface using Flask or Django where users can configure their subscriptions and view logs of recent events.
7. **Testing**: Write tests to ensure your application works correctly under various scenarios, including handling network issues and incorrect configurations.
8. **Documentation**: Provide clear documentation on setting up the environment, running the application, and configuring it for different use cases.

This project will not only demonstrate the power of 'algokit-subscriber' but also give you hands-on experience with integrating third-party services and building scalable applications.

💬 Discussion Feed

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