🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential typosquatting and has a new maintainer with limited history, raising concerns about its legitimacy and security posture.

Potential typosquatting targeting 'keras'
New maintainer with limited history

Per-check LLM notes

Network: The network call pattern suggests the package is making HTTP requests, which could be legitimate for API interactions or updates. However, without more context, there's a slight risk of unexpected behavior.
Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious intent related to stealing secrets or credentials.
Metadata: The package shows signs of potential typosquatting and has a new maintainer with limited history.
⚠ Typosquatting target: keras

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

None else None req = urllib.request.Request(url, data=data, headers=self._headers(auth), method=
try: with urllib.request.urlopen(req) as resp: if resp.status == 204:

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 3.0

Possible typosquat of: keras

"FERS" is 2 edit(s) from "keras"

✓ Registered Email Domain

Email domain looks legitimate: ferscloud.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 FERS

Create a fully functional mini-application that simulates structural analysis using the FERS package, a powerful finite element method (FEM) library written in Rust with a Python interface. This application will serve as a tool for engineers and students to better understand and visualize the behavior of different structures under various loading conditions. The project will include the following steps and features:

1. **Project Setup**: Initialize a new Python project and install the FERS package.
2. **Define Geometry**: Implement a user-friendly interface where users can input basic geometric parameters of the structure they want to analyze (e.g., length, width, height, number of elements).
3. **Material Properties**: Allow users to specify material properties such as Young's modulus and Poisson's ratio for the structure being analyzed.
4. **Boundary Conditions**: Provide options for defining boundary conditions (e.g., fixed, pinned, roller supports).
5. **Loading Conditions**: Enable users to apply different types of loads (e.g., point loads, distributed loads) to the structure.
6. **Mesh Generation**: Use FERS to automatically generate a mesh based on the defined geometry and desired element size.
7. **Analysis Execution**: Utilize FERS to solve the system of equations resulting from the FEM discretization, obtaining displacements, stresses, and strains at each node and element.
8. **Visualization**: Develop a visualization component that displays the deformed shape of the structure, stress distribution, and other relevant results.
9. **Results Export**: Include functionality to export the results in a readable format like CSV or JSON for further analysis or reporting.

Throughout the development process, ensure that the application is well-documented, modular, and adheres to best coding practices. Focus on making the application intuitive and accessible to users who may not have extensive programming experience but are familiar with engineering concepts.