AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network, shell, and obfuscation activities. However, its metadata suggests low maintainer activity and missing critical details, which raises concerns about its legitimacy and maintenance.
- Low maintainer activity
- Lacks important metadata
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no immediate risk of executing external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
- Metadata: The package shows low maintainer activity and lacks important metadata, raising suspicion but not definitive proof of malice.
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: avalara.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "Developer Support" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with Avalara.SDK
Create a comprehensive tax compliance management tool using the Avalara SDK Python package. This tool will primarily focus on streamlining the process of managing 1099 and W-9 forms for businesses. The application should allow users to perform the following tasks: 1. **Upload W-9 Forms**: Users should be able to upload W-9 forms from various vendors and contractors. The application should validate the uploaded forms against predefined rules and store them securely. 2. **Generate 1099 Forms**: Based on the transactions recorded throughout the year, the application should generate 1099 forms automatically. It should support different types of 1099 forms as required by the IRS. 3. **Tax Calculations**: Utilize the Avalara SDK to perform real-time tax calculations based on the vendor/contractor information and transaction details. 4. **Reporting**: Provide detailed reporting functionalities that include summaries of all transactions, tax liabilities, and a breakdown of 1099 form generation. 5. **User Management**: Implement user roles and permissions to ensure only authorized personnel can access sensitive information like W-9 forms and financial data. 6. **Notifications**: Set up notifications for critical events such as when a 1099 form needs to be generated, when a W-9 form expires, or when a vendorβs tax status changes. 7. **Integration with External Systems**: Allow integration with other business systems like accounting software or CRM tools to sync relevant data seamlessly. The Avalara SDK will be integral in performing tax calculations, validating tax IDs, and ensuring compliance with tax regulations. The project should demonstrate proficiency in handling complex APIs and managing financial data securely.