airbyte

v0.47.0 suspicious
5.0
Medium Risk

PyAirbyte

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to potential misuse of shell commands for Docker operations and low maintainer activity, although no direct evidence of malicious intent was found.

  • Shell risk due to execution of Docker-related commands
  • Low maintainer activity and poor metadata quality
Per-check LLM notes
  • Network: The network calls seem to be part of checking URLs or fetching resources which is not inherently risky but should be verified against the package's intended functionality.
  • Shell: Execution of shell commands, especially those related to Docker operations, could indicate legitimate functionality but also poses a risk if misused, potentially leading to system manipulation or data exfiltration.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. pyproject.toml)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5817 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 258 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • stry.json" response = requests.get(registry_url, timeout=10) response.raise_for_status(
  • h("http"): response = requests.get( registry_url, headers={"User-Agent"
  • t_found = 404 response = requests.get(url, timeout=10) if response.status_code == http_not_fou
  • registry_url() response = requests.get(registry_url, timeout=10) response.raise_for_status()
  • try: response = requests.get( changelog_url, headers={"User-Agent
  • ersion, ) response = requests.get( url=manifest_url, headers={"User-Agent": f"
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • t[str]) -> None: result = subprocess.run( args, check=False, stderr=subproces
  • se log_file process = subprocess.Popen( args, stdin=subprocess.PIPE,
  • se log_file process = subprocess.Popen( args, stdin=stdin, stdo
  • ledProcessError): subprocess.check_output( ["docker", "rmi", self.image_name_full],
  • r]) -> None: result = subprocess.run( args, check=False, stde
  • ) return subprocess.check_output( [ self.interpreter_path
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: airbyte.io>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with airbyte 
Your task is to develop a mini-application that leverages the PyAirbyte package to streamline data integration between various sources and destinations. This tool will serve as a bridge, allowing users to easily transfer data from one platform to another without needing to write complex SQL queries or API integrations manually. Here’s a detailed breakdown of what your application should accomplish:

1. **User Interface**: Design a simple yet effective user interface where users can select their data source (e.g., Google Sheets, PostgreSQL) and destination (e.g., Amazon S3, MongoDB).
2. **Configuration Management**: Implement a feature that allows users to configure connection details for both the source and destination databases or APIs. These configurations should be stored securely.
3. **Data Mapping**: Provide a mechanism for users to map fields from the source dataset to the destination schema. This ensures that the data is correctly formatted upon arrival at the destination.
4. **Scheduling**: Enable users to schedule when these data transfers should occur. Options could include hourly, daily, weekly, or on-demand transfers.
5. **Status Tracking**: Develop a system that tracks the status of each data transfer job. Users should be able to see if a job is pending, running, succeeded, or failed, along with any relevant error messages.
6. **Logging & Notifications**: Integrate logging so that all activities related to data transfers are recorded. Additionally, set up notifications (email/SMS) to alert users about the completion status of their jobs.
7. **Security Measures**: Ensure all sensitive information such as API keys and database passwords are encrypted and stored securely using methods like hashing.
8. **Testing & Validation**: Before finalizing a transfer, implement a feature that validates the source data against the destination schema to ensure compatibility and avoid errors during the actual transfer process.

The PyAirbyte package will be used extensively throughout this project to handle the core functionalities of data extraction, transformation, and loading (ETL). Specifically, you'll utilize its connectors and sync capabilities to facilitate seamless data movement between different platforms. Your application will act as a wrapper around PyAirbyte, providing a user-friendly interface and additional features like scheduling and notification.

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