🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate risk due to its shell execution patterns and low maintainer engagement, suggesting potential misuse or lack of proper control over Docker interactions.

High shell risk indicating potential for Docker service interaction without proper documentation
Low maintainer engagement and poor metadata quality

Per-check LLM notes

Network: The network call pattern is somewhat unusual but may be legitimate for package functionality.
Shell: The shell execution patterns indicate potential for executing commands that could interact with Docker services, which could be risky if not properly controlled and documented.
Obfuscation: No obfuscation patterns detected in the provided code snippets.
Credentials: The code appears to be prompting for passwords but does not show any clear signs of malicious behavior; however, proper handling and storage of credentials should be ensured.
Metadata: The package shows low maintainer engagement and poor metadata quality, raising suspicion but lacking clear malicious indicators.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

eout else None async with aiohttp.ClientSession(timeout=timeout_config) as session: async with sessi

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

try: docker_check = subprocess.run( ["docker", "--version"], check=Fals
ne = None compose_check = subprocess.run( ["docker", "compose", "version"], check=Fal
legacy_compose_check = subprocess.run( ["docker-compose", "--version"],
否存在 check_checkpoint_db = subprocess.run( [ "docker", "exec",
create_checkpoint_db = subprocess.run( [ "docker", "ex
"info" ) compose_up = subprocess.run( compose_cmd + [ "-f",

⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

t_code=2) password = getpass.getpass("Password: ") if password == "": raise C
").strip() password = getpass.getpass("Password: ") confirm_password = getpass.getpass("Co
") confirm_password = getpass.getpass("Confirm password: ") else: raise CLIError(
else: old_password = getpass.getpass("Old password: ") new_password = getpass.getpass("Ne
rd: ") new_password = getpass.getpass("New password: ") res = userModifyPassword( id=
_value.strip() return getpass.getpass(f"{label}: ").strip() cwd = Path.cwd() local_env_ex

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ 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 Digital-Immortality

Create a mini-application named 'EternalEcho' using the Python package 'Digital-Immortality'. This application aims to simulate digital immortality by allowing users to record messages that will be periodically broadcasted over a network, ensuring their words live on even after they're gone. Here’s a detailed breakdown of the project scope and requirements:

1. **Setup Environment**: Ensure you have either `uv` installed or a Python 3.12+ environment set up on your machine. Follow the instructions provided in the package documentation to install `uv` if necessary.

2. **Application Features**:
   - **Message Recording**: Users should be able to input and record text-based messages through a simple command-line interface.
   - **Broadcasting Mechanism**: Utilize the 'Digital-Immortality' package to schedule and automatically broadcast these messages at predefined intervals. Consider implementing a feature where messages can be tagged with keywords or topics, making it easier for users to categorize their messages.
   - **Persistence**: Messages should persist even after the application is closed and reopened, leveraging the package’s capabilities to ensure continuous service without interruption.
   - **User Interface**: While the primary interaction will be via the command line, consider adding basic UI elements like prompts and feedback messages to enhance user experience.

3. **Integration with 'Digital-Immortality' Package**: Use the 'Digital-Immortality' package to manage the lifecycle of message broadcasts. Explore its core functionalities such as scheduling, persistence, and possibly integrating with external services if available.

4. **Testing**: After development, thoroughly test the application to ensure all features work as expected. Pay special attention to the persistence of messages and the reliability of the broadcasting mechanism.

5. **Documentation**: Provide clear instructions on how to run the application and use its features. Include any setup steps required for the 'Digital-Immortality' package and any dependencies.

Your goal is to create a functional, user-friendly tool that demonstrates the potential of digital immortality in a practical, accessible way.