AI Analysis
Final verdict: SAFE
The package shows no signs of obfuscation or credential harvesting, indicating a low risk of malicious intent. However, its metadata suggests some level of unreliability due to low repository activity and a single package from the maintainer.
- Low obfuscation risk
- No credential harvesting patterns detected
- Potential unreliability due to low repository activity and single-package maintainer
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository's low activity and the maintainer's single package suggest potential unreliability.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
onfig) self._client = httpx.AsyncClient( base_url=self._base_url + API_PREFIX,
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
No author email provided
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 2.0
1 maintainer concern(s) found
Author "Agent Identity Registry Foundation" 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 agent-identity-registry
Develop a mini-application named 'IdentityGuard' using the Python package 'agent-identity-registry'. This application will serve as a tool for managing digital identities of various agents within a network. It should allow users to register new identities, update existing ones, and verify identities based on certain criteria. Here’s a detailed breakdown of the steps and features you need to implement: 1. **Setup**: Start by installing the 'agent-identity-registry' package and setting up your development environment with Python. 2. **User Interface**: Create a simple command-line interface (CLI) for interacting with the application. Users should be able to run commands like `register`, `update`, and `verify`. 3. **Register New Identities**: Implement a feature where users can register new digital identities. Each identity should include essential information such as name, unique identifier, and contact details. 4. **Update Existing Identities**: Allow users to update the information of any registered identity. Ensure that only authorized users can make changes. 5. **Verify Identities**: Develop a verification system that checks if an identity meets specific criteria (e.g., valid contact information). This could involve querying external services or databases. 6. **Security Measures**: Incorporate basic security measures to protect the integrity of the identities stored in the registry. This might include encryption of sensitive data and secure storage practices. 7. **Logging and Reporting**: Include logging functionality to track actions performed on identities (e.g., who updated which identity). Additionally, provide reporting capabilities to generate summaries of identity statuses. Throughout the development process, utilize the core functionalities provided by the 'agent-identity-registry' package to streamline identity management tasks. Your goal is to create a robust, user-friendly tool that enhances digital identity management within a network.