AI Analysis
Final verdict: SUSPICIOUS
The Avalara v26.5.0 package has a moderate risk score due to potential credential harvesting and a less established author profile.
- Potential credential harvesting from environment variables
- Single package author with limited history
Per-check LLM notes
- Network: No network calls detected, which is typical unless the package requires external API access.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected in the code snippet.
- Credentials: The code snippet suggests potential credential harvesting as it retrieves a password from environment variables without clear justification.
- Metadata: The author has only one package, which may indicate a new or less active account, but no clear signs of malice or typosquatting are present.
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
score 2.5
Found 1 credential access pattern(s)
os.environ.get('PASSWORD', '')) # print(client.ping().text) # tax_document =
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: avalara.com
Suspicious Page Links
score 4.0
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://developer.avalara.com/Non-HTTPS external link: http://docs.python-requests.org/en/master/user/quickstart/#response-content
Git Repository History
Repository avadev/AvaTax-REST-V2-Python-SDK appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Han Bao, Adrienne Karnoski, Robert Bronson, Philip Werner, Genevieve Conty" 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 Avalara
Create a mini-application called 'TaxCalculator' using the Avalara Tax Python SDK. This application will help users calculate taxes for their sales transactions based on their location and the products they sell. Here are the steps and features you need to implement: 1. **Setup**: Begin by setting up your development environment. Install the Avalara Tax Python SDK and ensure you have access to your Avalara account credentials. 2. **User Interface**: Develop a simple command-line interface (CLI) where users can input details of their sales transaction such as product name, quantity, unit price, and location of sale. 3. **Location Handling**: Allow users to enter the location of the sale (country, state/province, city). Use the Avalara SDK to validate the location and retrieve tax rates applicable for that location. 4. **Product Details**: Users should be able to specify the type of product being sold. Based on the product category, apply appropriate tax rules provided by Avalara. 5. **Tax Calculation**: Implement the logic to calculate the total tax amount for the transaction. Use the Avalara SDK to handle complex tax calculations including different types of taxes like VAT, GST, etc. 6. **Output Display**: After calculating the tax, display the total amount of tax due along with any other relevant information such as tax codes, tax jurisdictions, and exemptions if applicable. 7. **Error Handling**: Ensure your application gracefully handles errors, providing clear feedback to users if there are issues with their inputs or if the Avalara API encounters problems. 8. **Logging**: Integrate logging into your application so that every transaction processed by the app is recorded. This can be useful for auditing purposes. 9. **Documentation**: Write comprehensive documentation explaining how to use the application and how to integrate it with other systems. By completing these steps, you'll create a fully functional mini-application that leverages the power of the Avalara Tax SDK to perform real-world tax calculations.