apache-airflow-providers-microsoft-psrp

v3.2.5 safe
4.0
Medium Risk

Provider package apache-airflow-providers-microsoft-psrp for Apache Airflow

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all major categories, with only minor concerns about metadata completeness and an insecure license URL.

  • Low network and shell execution risks
  • Incomplete author information and non-HTTPS license URL
Per-check LLM notes
  • Network: No network calls detected, which is normal for a library focused on local operations.
  • Shell: No shell execution detected, consistent with the expected behavior of a library not designed to run system commands.
  • Obfuscation: The observed pattern is likely a standard method for extending module search paths and does not indicate malicious obfuscation.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The author information is incomplete and the license URL is non-HTTPS, but there are no clear signs of typosquatting or other malicious intent.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

  • Test runner config found: conftest.py
  • 8 test file(s) detected (e.g. conftest.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://airflow.apache.org/docs/apache-airflow-providers-mic
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3664 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 6 type-annotated function signatures (partial)
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 46 unique contributor(s) across 100 commits in apache/airflow
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Licensed to the Apache S
  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # # Licensed to the Apache
✓ 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: airflow.apache.org>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository apache/airflow appears legitimate

⚠ 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 apache-airflow-providers-microsoft-psrp 
Create a fully-functional mini-application using Apache Airflow that leverages the 'apache-airflow-providers-microsoft-psrp' package to automate PowerShell Remoting tasks on Windows machines. Your application should be able to perform the following tasks:

1. **Task Scheduling**: Schedule tasks to run at specific intervals or based on event triggers within the Airflow DAGs.
2. **PowerShell Execution**: Use the 'apache-airflow-providers-microsoft-psrp' package to execute PowerShell scripts or commands on remote Windows machines. Ensure these scripts can perform actions such as file operations, system checks, or software installations.
3. **Task Monitoring**: Implement monitoring capabilities to track the execution status of the PowerShell tasks. This includes logging the output of the scripts, handling errors, and retrying failed tasks.
4. **Configuration Management**: Allow users to configure the target Windows machines, including specifying hostnames/IP addresses, credentials, and PowerShell script paths through Airflow variables or configuration files.
5. **Security Measures**: Incorporate security best practices, such as encrypting credentials and ensuring secure communication between Airflow and the remote Windows machines.
6. **User Interface**: Develop a simple user interface (using Airflow's web UI or integrating with a lightweight frontend like Flask) to manage the DAGs, view task statuses, and interact with the configurations.
7. **Documentation**: Provide comprehensive documentation detailing how to set up the environment, install dependencies, configure the application, and use it effectively.

The 'apache-airflow-providers-microsoft-psrp' package will be used primarily to handle the connection and execution of PowerShell scripts on remote Windows systems. It will facilitate the creation of operators in Airflow that can be scheduled and managed within DAGs. The goal is to create a versatile tool that simplifies the automation of administrative tasks on Windows environments, making it easier to manage and monitor these tasks from a central location.

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