apache-airflow-providers-smtp

v3.0.1 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has some red flags such as missing author information and an insecure link, but lacks clear signs of malicious intent. It is recommended for further review.

  • missing author information
  • insecure link
Per-check LLM notes
  • Obfuscation: The observed pattern is a common technique used for extending module search paths and does not indicate malicious obfuscation.
  • Credentials: No suspicious patterns indicative of credential harvesting were detected.
  • Metadata: The package shows some red flags such as missing author information and an insecure link, but no clear indicators of malicious intent.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

  • 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-smt
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3506 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
  • 18 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 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-smtp 
Create a simple notification system using Apache Airflow and the 'apache-airflow-providers-smtp' package. This system will monitor a specific directory for new files, process these files, and send email notifications based on the content of the files.

### Steps:
1. **Setup Environment:** Ensure you have Apache Airflow installed along with the 'apache-airflow-providers-smtp' package.
2. **Define DAG Structure:** Create a Directed Acyclic Graph (DAG) in Apache Airflow that includes tasks for monitoring the directory, processing the file, and sending emails.
3. **Directory Monitoring Task:** Implement a task that periodically checks a specified directory for new files.
4. **File Processing Task:** Once a new file is detected, implement a task that reads the file content and processes it according to your defined logic.
5. **Email Notification Task:** Use the 'apache-airflow-providers-smtp' package to send an email notification containing details about the processed file or its content.
6. **Error Handling:** Add error handling mechanisms to ensure robustness in case of failures during file processing or email sending.
7. **Testing:** Test the entire workflow from file creation to email receipt to ensure everything works as expected.

### Suggested Features:
- Ability to configure the directory path, email settings, and processing logic via environment variables or configuration files.
- Logging of all actions taken within the DAG for debugging purposes.
- Support for multiple file formats (e.g., CSV, JSON).
- Customizable email templates based on file content or type.
- Periodic execution of the DAG (e.g., daily).

### Utilization of 'apache-airflow-providers-smtp':
- Configure SMTP settings in your Airflow environment using the 'smtp' connection type provided by the 'apache-airflow-providers-smtp' package.
- Use the 'EmailOperator' or similar operators from the 'apache-airflow-providers-smtp' package to define tasks that send emails.
- Customize the email content dynamically based on the results of file processing.

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