AI Analysis
Final verdict: SAFE
The package shows no signs of malicious intent based on the provided analysis notes. However, the maintainer's incomplete profile and new account slightly elevate the risk.
- Low network and shell risk
- No obfuscation or credential harvesting detected
- Maintainer has an incomplete profile and a new account
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating the package likely does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
- Metadata: The maintainer has an incomplete profile and a new account with only one package, which may indicate low activity or unfamiliarity with the platform.
Package Quality Overall: Low (3.8/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Brief PyPI description (324 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
✦ High
Multiple Contributors
8.0
Active multi-contributor project
4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validatorSmall but multi-author team (3–4 contributors)
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository CoreOxide/aws_resource_validator appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 aws-resource-validator-cloudtrail-data
Create a Python-based command-line tool that validates AWS CloudTrail data against predefined schemas using the 'aws-resource-validator-cloudtrail-data' package. This tool should allow users to input CloudTrail event data either from a local file or via standard input, and it should validate the data against the models provided by the package. The application should output validation results indicating whether each event matches the expected schema or if there are any discrepancies. Additionally, include the following features: 1. Support for multiple CloudTrail event types. 2. An option to generate a summary report of all validation outcomes. 3. Detailed error messages for invalid events, including the specific fields causing issues. 4. Ability to specify custom schemas for additional validation scenarios. 5. Integration with AWS SDK for Python (Boto3) to fetch CloudTrail logs directly from S3 buckets. 6. User-friendly interface with clear instructions on how to use the tool. 7. Extensive documentation explaining the usage of the tool and its integration with 'aws-resource-validator-cloudtrail-data'. The 'aws-resource-validator-cloudtrail-data' package will be used to define and validate the structure of CloudTrail events based on Pydantic models. Ensure that your implementation leverages the full capabilities of the package to provide robust and accurate validation.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue