AI Analysis
Final verdict: SAFE
The package shows very low risk across all categories except for metadata, where there are some concerns about the new maintainer and the quality of the metadata. However, these factors alone do not indicate a supply-chain attack.
- Low risk scores in network, shell, obfuscation, and credential checks.
- Concerns about the new maintainer and metadata quality need further investigation.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell executions detected, indicating the package does not attempt to execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low risk due to lack of suspicious elements, but concerns about new maintainer and low metadata quality.
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: desy.de
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository f-allum/PyCESim appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "Felix Allum" 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 PyCESim
Create a Python-based mini-application named 'CoulombExplosionSimulator' that utilizes the PyCESim package to simulate and visualize the classical dynamics of particles undergoing Coulomb explosion. This application will serve as an educational tool for students and researchers interested in understanding the behavior of charged particles under the influence of electrostatic forces. The application should allow users to input various parameters such as initial particle positions, velocities, charges, and masses, and then run simulations to observe the resulting trajectories and interactions. Additionally, the application should provide visualization capabilities using libraries like Matplotlib or Plotly to graphically represent the simulation outcomes. Key features to include are: 1. A user-friendly interface for setting up simulation parameters. 2. Real-time visualization of particle trajectories during the simulation. 3. Post-simulation analysis tools to calculate final particle positions and velocities. 4. An option to save simulation results and visualizations. 5. Documentation and help sections explaining the physics behind Coulomb explosions and how to use the application effectively.