AI Analysis
Final verdict: SUSPICIOUS
The package is rated as suspicious due to the high risk associated with the use of eval() on user input, which could enable code injection attacks.
- High obfuscation risk due to use of eval()
- Incomplete author metadata
Per-check LLM notes
- Network: No network calls suggest the package does not communicate externally, which is normal for a calculator package.
- Shell: No shell execution suggests the package does not run external commands, which aligns with typical benign package behavior.
- Obfuscation: The use of eval() on user input is highly suspicious and risky, indicating potential for code injection attacks.
- Credentials: No clear evidence of credential harvesting patterns was found.
- Metadata: The author's information is incomplete, which raises some suspicion, but there are no clear signs of malicious intent or typosquatting.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 4.0
Found 2 obfuscation pattern(s)
) == 0: result = eval(self.jisuan_input.text()) show(result))): result = eval(self.jisuan_input.text()) show(result)
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: 163.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository limingkang12345/CalculusCalculator appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 CalculusCalculator
Create a user-friendly desktop application called 'MathMentor' using Python and the 'CalculusCalculator' package. This app aims to assist students and professionals in understanding and solving complex calculus problems through interactive visualizations and detailed explanations. Here are the steps and features to include in your project: 1. **Setup Environment**: Begin by setting up your development environment with Python, along with the 'CalculusCalculator' package. 2. **User Interface Design**: Design a sleek, intuitive GUI that allows users to input mathematical expressions easily. Include buttons for common operations like addition, subtraction, multiplication, division, exponentiation, and logarithms. 3. **Core Functionality**: Implement the core functionalities of 'CalculusCalculator' into MathMentor. Users should be able to perform symbolic differentiation and integration, solve limits, and find extrema of functions. Each operation should display the result alongside a step-by-step breakdown of how it was computed. 4. **Graphical Visualization**: Integrate a graphing module that plots the function entered by the user along with its derivative and integral curves. This will help users visualize the relationships between functions and their derivatives/integrals. 5. **Interactive Tutorials**: Provide interactive tutorials within the app that guide users through solving various types of calculus problems. These tutorials should include examples, quizzes, and feedback mechanisms to enhance learning. 6. **History and Favorites**: Allow users to save past calculations and favorite functions for quick access in future sessions. A history feature can also track previous inputs and outputs. 7. **Export Results**: Enable users to export their results and visualizations as PDF files or images for use in reports or presentations. 8. **Customization Options**: Offer customization options such as color themes and language settings to cater to diverse user preferences. Remember to leverage the 'CalculusCalculator' package for its robust symbolic computation capabilities and ensure that the application is both educational and engaging.