AI Analysis
Final verdict: SUSPICIOUS
The package shows moderate risks due to basic authentication usage and potential credential interaction. While there are no definitive signs of malicious intent, the combination of these factors warrants further scrutiny.
- Basic authentication usage
- Potential credential interaction
Per-check LLM notes
- Network: Basic authentication usage might indicate legitimate network interactions but could also be used for unauthorized data access.
- Shell: No shell execution patterns detected, suggesting low risk for direct system command execution.
- Obfuscation: No obfuscation patterns detected.
- Credentials: The use of 'keyring.get_password' indicates potential interaction with user credentials but may be legitimate for storing and retrieving secure information.
- Metadata: The maintainer has a single package and the git repository is not available, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
ication.""" session = requests.Session() session.auth = HTTPBasicAuth(self.config.username,
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
score 5.0
Found 2 credential access pattern(s)
om keyring password = keyring.get_password(service_name, username) if password is None:retrieved_password = keyring.get_password(test_service, test_username) # Clean up test creden
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: poverty-action.org>
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 2.0
1 maintainer concern(s) found
Author "Innovations for Poverty Action" 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 DataSure
Create a fully-functional mini-application called 'DataSure Dashboard' using the Python package 'DataSure'. This application will serve as a user-friendly dashboard for managing and visualizing data related to Information Processing Architecture (IPA). The goal is to provide users with real-time insights into their IPA data, including metrics such as processing speed, data throughput, error rates, and more. The application should have the following core functionalities: 1. **Data Ingestion**: Allow users to upload IPA-related data files (CSV, JSON, etc.) to the dashboard for analysis. 2. **Real-Time Monitoring**: Display real-time graphs and charts showing key performance indicators (KPIs) of IPA operations. 3. **Historical Analysis**: Provide tools for analyzing historical IPA data, enabling users to identify trends and patterns over time. 4. **Alert System**: Implement an alert system that notifies users via email or SMS when certain thresholds are exceeded or errors occur. 5. **Customizable Dashboards**: Enable users to customize their dashboards according to their preferences, choosing which KPIs to display and how they are presented. To achieve these functionalities, utilize the 'DataSure' package to handle data management tasks such as storage, retrieval, and transformation. Specifically, use DataSure's capabilities for: - Efficient data storage and retrieval mechanisms. - Real-time data processing and analysis. - Integration with external data sources. - Data visualization tools. - User authentication and access control. Your task is to design and implement this application from scratch, ensuring it is well-documented and easy to use. Include instructions for setting up the environment, running the application, and customizing it further if needed.