apache-airflow-providers-telegram

v4.9.4 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories with no network calls, shell executions, or credential harvesting activities detected. The metadata issues do not indicate any malicious intent.

  • Low risk scores in all major categories
  • Incomplete author information and unsecure license URL
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: The observed pattern is likely for package extension and not malicious obfuscation.
  • Credentials: No suspicious patterns indicating credential harvesting were detected.
  • Metadata: The author's information is incomplete and the license URL is not secure, but no clear signs of malice or typosquatting.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

  • Test runner config found: conftest.py
  • 10 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-tel
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3491 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
  • 9 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-telegram 
Create a monitoring system using Apache Airflow and the 'apache-airflow-providers-telegram' package to notify users of job statuses via Telegram messages. Your project should include the following steps and features:

1. Set up an Apache Airflow environment.
2. Install the 'apache-airflow-providers-telegram' package to integrate with Telegram.
3. Create a Telegram bot and obtain its API token and chat ID.
4. Design DAGs (Directed Acyclic Graphs) that represent different workflows, such as data processing tasks, backup operations, or any other relevant processes.
5. Implement operators within these DAGs that send notifications to the Telegram bot when a task starts, succeeds, fails, or encounters errors.
6. Ensure that the system can handle multiple users or teams, each with their own Telegram chat ID.
7. Add a feature to allow users to customize notification messages based on the type of event (start, success, failure).
8. Include a dashboard-like interface within Airflow's UI to view recent notifications sent to Telegram.
9. Test the entire system thoroughly, ensuring that notifications are correctly sent under various scenarios.

This project will help you understand how to use Apache Airflow for workflow management and integrate external services like Telegram for real-time communication.

💬 Discussion Feed

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