apache-airflow-providers-fab

v3.6.4 safe
3.0
Low Risk

Provider package apache-airflow-providers-fab for Apache Airflow

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories except for a moderate obfuscation risk, which does not indicate any malicious activity.

  • moderate obfuscation risk
  • no network or shell execution risks
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on local operations and not expected to communicate externally.
  • Shell: No shell execution patterns detected, consistent with a package designed for integration within an environment rather than executing external commands.
  • Obfuscation: The observed patterns suggest some level of obfuscation but do not indicate malicious intent; they could be part of normal package management or encoding practices.
  • Credentials: No suspicious patterns indicative of credential harvesting were detected.
  • Metadata: The package has some minor issues but no clear signs of malicious intent.

📦 Package Quality Overall: High (8.8/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • 9 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-fab
  • 2 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (4883 chars)
✦ High Contributing Guide 9.0

Has contribution guidelines and governance files

  • Governance file: security.py
  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 67 type-annotated function signatures detected in source
✦ 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 8.0

Found 4 obfuscation pattern(s)

  • (tmp[0:-1]) package = __import__(module_path) return reduce(getattr, tmp[1:], package) except
  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # # Licensed to the Apache
  • _C0_CONTROL_OR_SPACE = ( "\x00\x01\x02\x03\x04\x05\x06\x07\x08\t\n\x0b\x0c" "\r\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x1
  • 6\x07\x08\t\n\x0b\x0c" "\r\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f " ) class FabIndexView(IndexView): """ A simple v
✓ 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-fab 
Your task is to develop a small but comprehensive project using Apache Airflow and the 'apache-airflow-providers-fab' package. This project will automate the management of user permissions and roles within a Fab-based authentication system, ensuring that your organization's security policies are enforced automatically and efficiently.

### Project Overview:
- **Project Name:** AutoRoleManager
- **Objective:** To create a system that automatically manages user roles and permissions based on predefined rules and conditions.
- **Key Features:**
  - Schedule periodic checks to verify if users should have access to specific resources based on their department, role, or other attributes.
  - Automatically update user roles and permissions in the Fab-based authentication system when necessary.
  - Log all changes made to user roles and permissions for auditing purposes.
  - Send notifications to administrators whenever a change is made.
- **Technologies Used:**
  - Apache Airflow for scheduling and workflow management.
  - 'apache-airflow-providers-fab' for interfacing with the Fab-based authentication system.
  - Python for scripting and automation.

### Step-by-Step Guide:
1. **Setup Environment:** Ensure you have Python, pip, and Apache Airflow installed. Install the 'apache-airflow-providers-fab' package using pip.
2. **Define Data Sources:** Identify where user data and role definitions are stored. These could be CSV files, databases, or APIs.
3. **Create DAGs:** Write DAGs in Apache Airflow to periodically fetch user data from the defined sources and compare it against the role definitions.
4. **Implement Role Management Logic:** Use the 'apache-airflow-providers-fab' package to manage user roles and permissions within the Fab-based authentication system. This includes adding, removing, or updating roles as needed.
5. **Logging and Notifications:** Implement logging to track all changes made to user roles and permissions. Set up notifications to alert administrators about any updates.
6. **Testing and Deployment:** Test the application thoroughly in a staging environment before deploying it to production.
7. **Documentation:** Provide clear documentation on how to set up, run, and maintain the AutoRoleManager application.

### Utilizing 'apache-airflow-providers-fab':
- Use the package to interact with the Fab-based authentication system's API endpoints for managing users and roles.
- Automate the process of checking user roles and permissions against the current state in the authentication system.
- Handle exceptions and errors gracefully to ensure the system remains robust and reliable.

This project not only showcases the power of Apache Airflow for automating complex tasks but also demonstrates how the 'apache-airflow-providers-fab' package can be leveraged to integrate with existing systems, enhancing security and compliance.

💬 Discussion Feed

Leave a comment

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