apache-airflow-providers-ssh

v5.0.2 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package has a low risk score primarily due to its use of subprocess.Popen and unusual encoding methods, which may indicate obfuscation. However, there are no clear signs of malicious intent or supply-chain attack.

  • Unusual encoding methods
  • Use of subprocess.Popen
Per-check LLM notes
  • Network: The network patterns indicate a connection to localhost on a specific port, which is likely for testing or local development purposes and not indicative of malicious activity.
  • Shell: The shell execution pattern suggests the use of subprocess.Popen for running external commands, which could be part of legitimate functionality but should be reviewed for proper validation and sanitization to avoid command injection risks.
  • Obfuscation: The use of base64 decoding followed by utf-16-le decoding is unusual and may indicate obfuscation, but without more context, it's hard to determine the exact purpose.
  • Credentials: No clear patterns indicative of credential harvesting were detected.
  • Metadata: The package shows some red flags like a missing author name and a single package associated with the author's account, but there are no clear signs of typosquatting or malicious intent.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 14 test file(s) found

  • Test runner config found: conftest.py
  • 14 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-ssh
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3545 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
  • 46 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 score 3.0

Found 2 network call pattern(s)

  • = socket.socket() socket.connect(("localhost", 2135)) response = socket.recv(5)
  • ssh_conn_id) client = paramiko.SSHClient() if self.allow_host_key_change: self.l
⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • )[1] decoded_script = base64.b64decode(encoded_script).decode("utf-16-le") assert "New-Item
  • )[1] decoded_script = base64.b64decode(encoded_script).decode("utf-16-le") assert "Seek(100
  • )[1] decoded_script = base64.b64decode(encoded_script).decode("utf-16-le") assert "Get-Item
  • )[1] decoded_script = base64.b64decode(encoded_script).decode("utf-16-le") assert "Test-Pat
  • )[1] decoded_script = base64.b64decode(encoded_script).decode("utf-16-le") assert "Stop-Pro
  • )[1] decoded_script = base64.b64decode(encoded_script).decode("utf-16-le") assert "Remove-I
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • ) with ( subprocess.Popen(**subprocess_kwargs) as server_handle, hook.get_
✓ 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-ssh 
Create a fully-functional mini-application using Apache Airflow along with the 'apache-airflow-providers-ssh' package. This application will serve as a task scheduler for executing various SSH-based tasks on remote servers. The goal of this project is to automate common administrative tasks such as restarting services, checking disk usage, or running periodic backups.

### Project Overview:
1. **Task Definition**: Define multiple tasks within Airflow DAGs, each representing a specific administrative task that needs to be executed over SSH on remote servers.
2. **SSH Operations**: Use the 'apache-airflow-providers-ssh' package to perform SSH operations like running shell commands, transferring files, etc.
3. **Scheduling**: Schedule these tasks based on time intervals or events.
4. **Monitoring & Logging**: Implement logging mechanisms to monitor task execution and store logs for future reference.
5. **User Interface**: Develop a simple web interface (optional) to view task statuses and logs.

### Features:
- **Task Execution**: Execute shell commands on remote servers using SSH.
- **File Transfer**: Automate file transfers between local and remote systems.
- **Task Scheduling**: Schedule tasks to run at specific times or after certain events.
- **Error Handling**: Implement robust error handling to manage failed tasks.
- **Logging & Monitoring**: Provide detailed logs and monitoring capabilities.

### Implementation Steps:
1. **Setup Environment**: Set up an Apache Airflow environment and install the 'apache-airflow-providers-ssh' package.
2. **Define Tasks**: Write DAG definitions for each administrative task you want to automate, including parameters for SSH connections and commands.
3. **Integrate SSH**: Use the 'apache-airflow-providers-ssh' operators to integrate SSH functionality into your tasks.
4. **Configure Scheduling**: Configure the scheduling logic for your tasks.
5. **Testing**: Test the application thoroughly to ensure all tasks execute as expected.
6. **Deployment**: Deploy the application to a production-like environment for real-world testing.
7. **Enhancements**: Consider adding features like user authentication, more sophisticated logging, and a basic UI for monitoring purposes.

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