🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk with no network calls, no obfuscation, and no credential harvesting. The shell execution risk is moderate due to Docker Compose commands and group management, but there's no strong evidence of malicious activity.

moderate shell execution risk
incomplete author metadata

Per-check LLM notes

Network: No network calls detected.
Shell: Shell execution is used for Docker Compose commands and group management, which may be legitimate for certain applications but could indicate potential risks if not properly documented or controlled.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author's information is incomplete and the maintainer might be new or inactive, raising some concerns but not conclusive evidence of malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

_fn: try: subprocess.run( [ *DOCKER_COMPOSE_CMD,
ED, ) subprocess.run( [*DOCKER_COMPOSE_CMD, "-f", docker_compose_
nv, ) subprocess.run( [*DOCKER_COMPOSE_CMD, "-f", docker_compose_
tr(os.getuid()) ret = subprocess.run(cmd + ["groupadd", "--gid", gid, "dirac"], check=False)
={gid}", fg=c.YELLOW) subprocess.run( cmd + [ "useradd",
check=True, ) subprocess.run(cmd + ["chown", "dirac", "/home/dirac"], check=True) ty

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://diracgrid.org

✓ Git Repository History

Repository DIRACGrid/DIRAC 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 DIRAC

Create a distributed computing task manager application using the DIRAC software framework. This application will allow users to submit, monitor, and manage computational tasks across a network of machines. Here are the steps and features to implement:

1. **Setup Environment**: Begin by setting up your development environment with Python and installing the DIRAC package.
2. **User Interface**: Design a simple command-line interface (CLI) for users to interact with the application. Consider adding basic commands like `submit`, `list`, `status`, and `cancel`.
3. **Task Submission**: Implement functionality to submit tasks to the DIRAC system. Each task should have a unique identifier, a description, and parameters specific to the job.
4. **Task Monitoring**: Enable users to check the status of their submitted tasks. This includes getting updates on whether a task is pending, running, succeeded, or failed.
5. **Resource Management**: Integrate DIRAC's resource management capabilities to distribute tasks efficiently based on available resources and priorities.
6. **Logging and Reporting**: Provide logging and reporting features to keep track of task history and performance metrics. Users should be able to view logs and reports directly from the CLI.
7. **Security**: Ensure secure communication between the application and the DIRAC system, including authentication and authorization mechanisms.
8. **Testing and Documentation**: Finally, write tests to ensure the reliability of your application and create comprehensive documentation for users and developers.

Throughout the development process, utilize DIRAC's core functionalities such as task submission, job monitoring, and resource management to build a robust and scalable distributed computing task manager.