AI Analysis
The package shows a high obfuscation risk due to the presence of eval() with user input, which could potentially allow for arbitrary code execution. Despite having low scores in network, shell, and credential risks, the potential for abuse through code injection is significant.
- High obfuscation risk due to eval() usage
- Incomplete author metadata
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; it depends on the package's intended functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution from this package.
- Obfuscation: The use of eval() with user input is highly suspicious and risky as it can execute arbitrary code.
- Credentials: No clear signs of credential harvesting detected.
- Metadata: The author information is incomplete and the author may be new or inactive, but there are no other suspicious flags.
Package Quality Overall: Medium (6.4/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_mgmt_resourcegraph.py)
Some documentation present
Detailed PyPI description (6281 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project75 type-annotated function signatures detected in source
Active multi-contributor project
35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-pythonActive community β 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
Found 4 obfuscation pattern(s)
_unicode(data) return eval(data_type)(data) # nosec # pylint: disable=eval-used @_unicode(attr) return eval(data_type)(attr) # nosec # pylint: disable=eval-used @__path__ = __import__("pkgutil").extend_path(__path__, __name__) __path__ = __import__("pkgpath__, __name__) __path__ = __import__("pkgutil").extend_path(__path__, __name__) # coding=utf-8 # ---------
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com> license-expression: mit
All external links appear legitimate
Repository Azure/azure-sdk-for-python appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 Python-based command-line tool that leverages the 'azure-mgmt-resourcegraph' library to query and manage Azure resources efficiently. This tool should enable users to perform several operations on their Azure resources, such as listing resources across multiple subscriptions, filtering resources based on tags, and retrieving detailed information about specific resources. Hereβs a detailed breakdown of the functionalities your tool should support: 1. **Authentication**: Implement Azure Active Directory (AAD) authentication using client ID, tenant ID, and client secret or user credentials. Ensure secure storage and handling of these credentials. 2. **Resource Querying**: Allow users to run queries against Azure Resource Graph to retrieve resources. Users should be able to specify filters like resource type, location, tags, etc., to refine their search. 3. **Detailed Information Retrieval**: Provide an option for users to fetch more detailed information about selected resources, including properties and metadata. 4. **Subscription Management**: Enable users to switch between different Azure subscriptions within the same account to query resources across multiple environments. 5. **Output Customization**: Offer options to format and output the results in various formats such as JSON, CSV, or plain text. 6. **Error Handling**: Implement robust error handling mechanisms to provide meaningful feedback to users when queries fail or return unexpected results. 7. **Documentation and Help**: Include comprehensive help documentation accessible via the command line to guide users through the usage of the tool. The 'azure-mgmt-resourcegraph' package will be the backbone of this application, providing the necessary API calls to interact with Azure Resource Graph service. It will be responsible for constructing and executing queries, fetching data from Azure, and processing the returned results. Your task is to design and implement this tool ensuring it is user-friendly, efficient, and integrates seamlessly with Azure services.
π¬ Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue