AI Analysis
The package exhibits significant credential risk indicators and lacks a public git repository, suggesting potential security concerns. However, no direct evidence of malicious intent is present.
- High credential risk
- Unverified maintainer and missing git repository
Per-check LLM notes
- Network: The use of an HTTP client suggests network communication, which is common for packages needing to fetch remote resources.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected that indicate malicious activity.
- Credentials: Multiple patterns suggest potential credential harvesting attempts, including paths to sensitive files and encoded strings.
- Metadata: The maintainer has only one package and the git repository is not found, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.6/10)
Test suite present — 18 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml18 test file(s) detected (e.g. conftest.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/Bigred97/asic-mcp#readmeDetailed PyPI description (11899 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed116 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 1 network call pattern(s)
Cache() self._http = httpx.AsyncClient( timeout=DEFAULT_TIMEOUT, transport=
No obfuscation patterns detected
No shell execution patterns detected
Found 5 credential access pattern(s)
: "Right One", "url": "file:///etc/passwd"}], }, }) ) async with ASICCliet(1)</script>", "../../etc/passwd", "../%2e%2e/passwd", "%00", "\x00barametrize("bad_id", [ "../etc/passwd", "ASIC/FINANCIAL_ADVISERS", "ASIC%20FINANCIAL_ADVIurl in ( "file:///etc/passwd", "javascript:alert(1)", "data:textit server.describe_dataset("../etc/passwd") @pytest.mark.asyncio async def test_describe_dataset_em
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
1 maintainer concern(s) found
Author "Harry Vass" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'ASIC Advisor Lookup' using the Python package 'asic-mcp'. This application will serve as a user-friendly tool for accessing key information from the Australian Securities and Investments Commission (ASIC) registers. The application should allow users to search for financial advisers, AFS licensees, credit licensees, banned/disqualified persons/organizations, and registered liquidators. Here are the steps and features you should include: 1. **Project Setup**: Set up a basic Python environment with the necessary libraries installed, including 'asic-mcp'. Ensure your development environment supports Python. 2. **User Interface**: Develop a simple command-line interface (CLI) for the application. The CLI should provide clear instructions on how to use the tool and display a menu of options for users to select from. 3. **Search Functionality**: Implement search functionality for each type of entity mentioned above. Users should be able to enter specific keywords or IDs to retrieve relevant information. 4. **Display Results**: Once a search is performed, the application should display the results in a readable format. Include fields such as name, registration number, status, and any other pertinent details available from the ASIC registers. 5. **Error Handling**: Incorporate error handling to manage cases where no results are found or if there's an issue with the API request. 6. **Advanced Features** (Optional): Consider adding advanced features like saving search history, allowing users to export search results into CSV files, or integrating with a web-based frontend for a more interactive experience. The 'asic-mcp' package will be the backbone of this application, providing the means to interact with the ASIC registers via data.gov.au. Your task is to leverage this package effectively to create a functional, user-friendly tool that enhances accessibility to important regulatory information.
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