AI Analysis
Final verdict: SUSPICIOUS
The package exhibits some red flags due to its metadata characteristics, such as newness and limited maintainer history, which raise concerns about its legitimacy.
- Metadata risk score of 6 out of 10
- Lack of maintainer history and sparse repository activity
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external communication.
- Shell: Subprocess execution may be legitimate if documented functionality involves shell commands, but warrants further investigation to ensure it's not being used maliciously.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being potentially suspicious due to its newness, lack of maintainer history, and sparse repository activity.
Package Quality Overall: Low (2.8/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
169 type-annotated function signatures detected in source
◈ Medium
Multiple Contributors
5.0
Limited contributor diversity
1 unique contributor(s) across 100 commits in omry/arbiterSingle author but highly active (100 commits)
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
"1" try: result = subprocess.run( args, cwd=root, env=env
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: yadan.net>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 arbiter-core
Create a mini-application called 'ServiceGuard' that acts as a policy-controlled gateway for managing access to various backend services. This application will use the Python package 'arbiter-core' to enforce policies and manage access requests. ServiceGuard should have the following functionalities: 1. **User Authentication**: Implement a simple user authentication system where users can register and log in using their credentials. 2. **Policy Management**: Utilize 'arbiter-core' to define and manage policies that control who can access which services. Policies should be based on user roles and service permissions. 3. **Service Discovery**: Integrate a service discovery mechanism to dynamically discover available backend services. This could simulate different types of services like a database, a file storage system, etc. 4. **Access Requests Handling**: When a user tries to access a service, ServiceGuard should validate the request against the defined policies. If the request is valid, it forwards the request to the appropriate service; otherwise, it denies access. 5. **Logging and Monitoring**: Implement logging and monitoring capabilities to track access attempts and service usage. This data should be stored and made accessible for analysis. 6. **Admin Interface**: Provide an admin interface where administrators can view logs, manage policies, and monitor the overall health of the system. For each feature, explain how 'arbiter-core' is utilized. For example, when defining policies, you would use 'arbiter-core' to create policy rules that map specific user roles to service permissions. During the access request handling phase, 'arbiter-core' would be used to evaluate the incoming request against these policies.
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