AI Analysis
The package shows low risks in terms of network, shell, obfuscation, and credential misuse. However, the lack of a GitHub repository and sparse maintainer information raise concerns about its origin and maintenance, leading to a moderate suspicion level.
- No GitHub repository associated
- Sparse maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal and expected.
- Shell: Subprocess calls to flake8 and mypy are likely for code quality checks, indicating benign use.
- Obfuscation: The obfuscation pattern appears to be a standard method for extending module paths and is not indicative of malicious activity.
- Credentials: No suspicious patterns indicating credential harvesting were detected.
- Metadata: The package has no associated GitHub repository and the maintainer information is sparse, raising some suspicion.
Package Quality Overall: Low (3.6/10)
Test suite present — 7 test file(s) found
7 test file(s) detected (e.g. __init__.py)
Some documentation present
Detailed PyPI description (5121 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
Found 3 obfuscation pattern(s)
__path__ = __import__("pkgutil").extend_path(__path__, __name__) __path__ = __import__("pkath__, __name__) __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Copyright (c) Microsofhe MIT License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) __version__ = '1.0.0b3'
Found 2 shell execution pattern(s)
) result = subprocess.run( [sys.executable, '-m', 'flake8', package_dir],) result = subprocess.run( [sys.executable, '-m', 'mypy', package_dir, '-
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application using Azure Functions and the 'azurefunctions-extensions-connectors' package to automate email notifications for specific events in an Office365 environment. This application will serve as a bridge between Azure Functions and Office365, allowing for real-time notifications based on predefined triggers within Office365 services. Step 1: Set up your development environment by installing necessary tools such as Azure CLI and Visual Studio Code. Ensure you have the Azure Functions extension installed in VSCode. Step 2: Create a new Azure Function App in your Azure subscription through the Azure portal or Azure CLI. Choose Python as the runtime stack. Step 3: Integrate the 'azurefunctions-extensions-connectors' package into your function app. This package will enable you to connect to Office365 services directly from your Azure Function. Step 4: Define a trigger for your function. This could be based on new emails received in a specific mailbox, calendar events, or any other Office365 service event that requires immediate attention. Step 5: Implement the logic inside your function to process the event triggered from Office365. For example, if a new email is received, the function could extract information from the email and send a notification via another channel, like Slack or SMS. Suggested Features: - Real-time monitoring of Office365 mailboxes for new emails or updates. - Automatic generation and sending of notifications when certain keywords or phrases are detected in emails. - Integration with external services for alerting, such as Slack or SMS gateways. - Logging and auditing of all processed events for compliance and troubleshooting purposes. How 'azurefunctions-extensions-connectors' is Utilized: This package simplifies the interaction between Azure Functions and Office365 by providing a set of connectors and workers that handle authentication, data retrieval, and event processing. By leveraging these connectors, developers can focus on implementing business logic rather than dealing with low-level API integrations and authentication flows.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue