AI Analysis
Final verdict: SAFE
The package has low risks across all categories except metadata, which has some minor concerns. Overall, it appears to be safe with no indications of malicious intent or supply-chain attack.
- Author lacks a name and uses a new account
- No clear evidence of obfuscation, shell execution, or credential harvesting
Per-check LLM notes
- Network: The observed network calls are likely part of the package's intended functionality, possibly for API interactions.
- Shell: No shell execution patterns detected, indicating low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some red flags such as an author with no name and a new account, but there are no clear signs of typosquatting or malicious intent.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
this": self._client = httpx.Client( **build_httpx_kwargs(self._base_url, self._headthis": self._client = httpx.AsyncClient( **build_httpx_kwargs(self._base_url, self._head
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: aethis.ai>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
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 aethis-sdk
Create a Python-based eligibility checker application using the 'aethis-sdk' package. This application will serve as a user-friendly interface for individuals or organizations to determine their eligibility based on predefined criteria managed through the Aethis platform. Here’s a step-by-step guide on how to build it: 1. **Setup**: Begin by installing the 'aethis-sdk' package and setting up your development environment. Ensure you have an API key from Aethis for authenticating requests. 2. **User Interface**: Design a simple yet intuitive command-line interface (CLI) for users to interact with. Users should be able to input necessary details such as personal information, financial status, etc., which are required to check eligibility. 3. **Eligibility Check Functionality**: Implement a function that takes user inputs and sends a request to the Aethis API via the 'aethis-sdk'. Use the SDK's methods to fetch eligibility rules and apply them to the provided user data. 4. **Display Results**: Once the eligibility decision is received from the Aethis API, display the results back to the user in an easy-to-understand format. Include any additional notes or conditions that affect eligibility. 5. **Error Handling**: Incorporate robust error handling to manage cases where user inputs are invalid or when there are issues connecting to the Aethis API. 6. **Optional Features**: - Allow users to save and load previous eligibility checks. - Provide explanations for why a user might not be eligible based on the ruleset. - Integrate a feature to automatically update eligibility rules if they change on the Aethis platform. 7. **Testing**: Thoroughly test the application under various scenarios to ensure reliability and accuracy. 8. **Documentation**: Write comprehensive documentation detailing how to install, configure, and use the application. Also, include examples of common use cases. By following these steps, you'll create a valuable tool that leverages the power of the 'aethis-sdk' to make complex eligibility determinations accessible and straightforward for end-users.