AI Analysis
Final verdict: SAFE
The package TPTBox v0.7.2 shows minimal risk indicators with no network calls, shell execution, or credential harvesting detected. The metadata risk is slightly elevated due to the maintainer having only one package, but there are no clear signs of malicious activity.
- No network calls
- No shell execution patterns
- No credential harvesting patterns
- Single package from maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting legitimate use without secret theft concerns.
- Metadata: The maintainer has only one package, which may indicate a new or less active account.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
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: tum.de
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Hendrik-code/TPTBox appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Robert Graf" 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 TPTBox
Create a mini-application named 'TorsoViz' that leverages the TPTBox Python package to process and visualize torso MRI data from BIDS-compatible datasets. The application should allow users to upload a dataset, select specific MRI scans, and generate visualizations of the torso anatomy, including segmentation overlays and point-of-interest markers. Additionally, include features such as filtering scans based on acquisition parameters and exporting the visualizations as images or videos. Utilize TPTBox's capabilities to handle BIDS datasets, perform image processing tasks like segmentation and registration, and support various file formats. Ensure the application is user-friendly and provides clear instructions and feedback throughout the process.