AI Analysis
The package exhibits medium obfuscation and shell execution risks, which may indicate attempts to conceal functionality or execute arbitrary commands. While there's no direct evidence of malicious intent, these features warrant further scrutiny.
- medium obfuscation risk
- potential for shell execution
Per-check LLM notes
- Network: No network calls detected.
- Shell: Detection of shell execution suggests potential for executing arbitrary commands, which could be used for malicious purposes.
- Obfuscation: The code snippet suggests the use of dynamic importing with potential obfuscation techniques, which could be used for malicious purposes such as hiding code structure.
- Credentials: No clear evidence of credential harvesting is present in the provided code snippet.
- Metadata: The maintainer has only one package, indicating a new or less active account which could be suspicious but not necessarily malicious.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (11748 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
172 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 9 commits in ZYPGITA/astra-fluxTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
ss_path)) module = __import__(module_name, globals=globals(), locals=locals(), fromlist=[class_name]) importl
Found 4 shell execution pattern(s)
return PID process = subprocess.Popen(command) self.run_process.append(process.pid)== 'nt': subprocess.run( ['taskkill', '/F', '/PID', str(pidcess subprocess.run( ['taskkill', '/F', '/PID', strbprocess subprocess.run( ['taskkill', '/F', '/PID', str(pro
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: foxmail.com
All external links appear legitimate
Repository ZYPGITA/astra-flux appears legitimate
1 maintainer concern(s) found
Author "YanPing" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application named 'StellarSimulator' using the 'astraflux' package. This application will simulate the flux of stellar radiation across different astronomical objects in our solar system. The app should allow users to input parameters such as distance from the Sun, size of the object, and albedo (reflectivity). It should then calculate and display the flux of solar radiation received by the object based on these inputs. Core Features: 1. User Interface: Develop a simple yet intuitive command-line interface (CLI) where users can input the required parameters. 2. Calculation Engine: Utilize the 'astraflux' package to perform accurate calculations of stellar flux. Ensure the application can handle various units of measurement seamlessly. 3. Visualization: Integrate a basic visualization module to graphically represent the calculated flux over time or distance. Use matplotlib or a similar library for plotting. 4. Documentation: Provide comprehensive documentation explaining how to use the application, including examples and explanations of the underlying physics involved in calculating stellar flux. 5. Extensibility: Design the application to be easily extensible. For instance, add support for additional astronomical objects beyond those initially included, without requiring major code changes. How 'astraflux' is Utilized: - Import and utilize functions from the 'astraflux' package to calculate the flux of solar radiation. Specifically, use the package's core functionalities to compute flux based on user-provided parameters. - Ensure that the application demonstrates the versatility of 'astraflux' by showcasing its ability to handle complex astronomical calculations efficiently.
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