AI Analysis
Final verdict: SUSPICIOUS
The package shows low individual risk factors but raises concerns due to its anonymous author and low repository activity, suggesting potential lack of transparency or community support.
- Anonymous author
- Low repository activity
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet connectivity.
- Shell: No shell execution patterns detected, indicating no direct system command execution is occurring within the package.
- 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 anonymous author and low activity in the git repository, but there's no clear evidence of malicious intent.
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: aeko.chain>
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 aeko-sdk
Create a fully-functional mini-app that leverages the AEKO Chain Python SDK (aeko-sdk) to facilitate easy interaction with the AEKO blockchain network. This app will serve as a basic wallet management tool, allowing users to perform essential operations such as sending AEKO tokens, checking their balance, and viewing recent transactions. Additionally, the app should include a feature to monitor the health of the AEKO network, providing real-time updates on node status and transaction confirmation times. Step-by-Step Guide: 1. Set up a Python environment with the necessary dependencies including the aeko-sdk package. 2. Implement a user interface using a library like Tkinter or PyQt to create a simple yet functional GUI. 3. Integrate the aeko-sdk to allow for seamless communication between the app and the AEKO blockchain. 4. Develop functionalities within the app to enable users to send AEKO tokens, check their current balance, and view recent transactions. 5. Incorporate a network monitoring feature that periodically fetches data from the AEKO network and displays it in the app. 6. Ensure the app handles errors gracefully and provides informative feedback to the user. 7. Test the app thoroughly under different scenarios to ensure reliability and robustness. 8. Document the code and provide clear instructions for installing and running the app. Suggested Features: - User-friendly GUI for easy navigation. - Secure storage of private keys using encryption. - Real-time transaction status updates. - Historical transaction viewing capabilities. - Network health dashboard showing node status and latency. - Integration with QR code scanning for address sharing. How 'aeko-sdk' is Utilized: - The aeko-sdk package will be used extensively throughout the app to interact with the AEKO blockchain. It will handle tasks such as connecting to the network, signing transactions, and querying the blockchain for information. Developers will utilize the SDK's functions to implement the core functionalities of the app, ensuring a secure and efficient user experience.