AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low technical risks but has significant metadata concerns, such as an untraceable repository and incomplete maintainer information, raising suspicion about its legitimacy.
- Metadata risk due to untraceable repository
- Incomplete maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The package shows several red flags including an untraceable repository and a newly created maintainer account with incomplete information.
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: aethexai.net>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 aethex
Develop a web-based mini-application that integrates the 'aethex' Python package to provide real-time threat verification services for financial transactions. This application will serve as a tool for banks and financial institutions to quickly assess the risk level of incoming transactions and make informed decisions about whether to approve them. The application should have the following core functionalities: 1. User Authentication: Users should be able to log in securely using OAuth2.0 authentication protocol. 2. Transaction Input Form: A simple form where users can input details of the transaction such as amount, sender/receiver information, and any additional notes. 3. Threat Verification: Upon submission of the form, the application should use the 'aethex' package to verify the transaction against multiple threat vectors including cyber threats, financial frauds, and potential risks associated with large language models. 4. Explainable Reasoning: The application should display an explanation for each risk assessment decision made by 'aethex', providing transparency and trustworthiness to the end-users. 5. Decision Output: Based on the verification process, the application should output a clear decision (approve/deny) along with a confidence score indicating the level of certainty behind the decision. 6. Historical Data Storage: All transactions and their corresponding verification results should be stored in a database for future reference and analysis. To utilize the 'aethex' package effectively, you'll need to: - Install the package via pip. - Authenticate your application with Aethex's API using appropriate credentials. - Integrate the SDK into your application's backend logic to handle request/response cycles for threat verification. - Implement error handling and logging mechanisms to ensure robustness and reliability of the application.