🤖 AI Analysis

Final verdict: SAFE

The package is assessed as safe with a low risk score due to its clear purpose and lack of suspicious activities such as shell execution, obfuscation, or credential harvesting. However, it has some network interaction which needs monitoring.

Low activity and poor metadata quality
Observed network calls for external service interaction

Per-check LLM notes

Network: The observed network calls suggest the package is designed to interact with an external service, likely for authentication purposes.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low activity and poor metadata quality, but lacks clear indicators of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

yle=None) response = requests.get(url, params=params | {'authenticationGuid': self.authenticat
yle=None) async with aiohttp.ClientSession() as session: async with session.get(url, params

✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository tmck-code/abn-lookup-service appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 abn-lookup-service

Create a Python-based desktop application named 'ABN Finder' which allows users to look up Australian Business Numbers (ABNs) and retrieve detailed information about businesses. This application will utilize the 'abn-lookup-service' Python package to interact with the ABN Lookup service provided by the Australian Taxation Office.

The application should include the following features:
1. User Interface: Design a simple and intuitive graphical user interface using a library such as Tkinter or PyQt5. The UI should have fields for entering an ABN number and a button to initiate the lookup process.
2. Data Retrieval: Use the 'abn-lookup-service' package to fetch data from the ABN Lookup service based on the entered ABN number. Ensure that the application handles errors gracefully, such as invalid ABN numbers or network issues.
3. Display Information: Once the lookup is successful, display the retrieved information about the business in a structured format within the application. Include fields like business name, address, type of entity, and date of registration.
4. Search History: Implement a feature that keeps track of previously searched ABNs and allows users to view their search history easily.
5. Export Functionality: Provide an option for users to export the retrieved business information into a CSV file for further analysis or record-keeping.
6. Offline Mode: Develop a caching mechanism to store frequently accessed ABN details locally so that the application can still provide some level of functionality even when the internet connection is not available.

Your task is to write the complete code for this application, ensuring it is well-documented and modular. Additionally, create a README.md file explaining how to install dependencies, run the application, and any other necessary setup instructions.