aeo-validator-service

v0.1.1 suspicious
4.0
Medium Risk

Always-on validator service for AEO + Kinetic Gain Protocol Suite documents. Validate by URL, track content-hash drift, schedule re-fetch, emit structured diffs. The fourth layer of the AEO Reference Stack. Optional audit-stream-py integration via AUDIT_STREAM_URL env var.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its recent creation and limited maintainer history, which raises concerns about potential supply-chain attacks despite showing low risks in other areas such as network calls, shell execution, and obfuscation.

  • Metadata risk is high due to new package and limited maintainer history.
  • Other specific risks like shell execution or network calls are minimal.
Per-check LLM notes
  • Network: The network calls are typical for a service that might need to communicate with external services for validation purposes.
  • Shell: No shell execution patterns were detected, indicating low risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being newly created with limited maintainer history and engagement, raising suspicion.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • : app.state.http_client = httpx.AsyncClient( timeout=httpx.Timeout(DEFAULT_TIMEOUT_S), f
  • t(handler) async with httpx.AsyncClient(transport=transport) as client: await audit_stre
✓ 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: kineticgain.com>

✓ 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 package
  • Author name is missing or very short
  • Author "" 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 aeo-validator-service 
Create a mini-application called 'AEO Document Guardian' that leverages the 'aeo-validator-service' Python package to monitor and validate AEO and Kinetic Gain Protocol Suite documents. This application will serve as a personal or organizational tool to ensure that all relevant documents are up-to-date and compliant with the latest standards.

Step 1: Setup the Project
- Initialize a new Python project and install the 'aeo-validator-service' package.
- Set up a configuration file to store URLs of documents to be monitored and any necessary environment variables like AUDIT_STREAM_URL if you choose to integrate it.

Step 2: Implement Document Validation
- Use 'aeo-validator-service' to validate each document at a specified interval (e.g., daily).
- Track changes in content hashes between validations to detect drift.

Step 3: Notification System
- Implement a notification system that alerts users when a document has been updated or if there are validation errors.
- Notifications could be sent via email, SMS, or even through a simple GUI alert within the app itself.

Step 4: Structured Diffs
- When a document is updated, generate a structured diff report highlighting the changes made since the last validation.
- Store these reports for future reference.

Suggested Features:
- User-friendly interface for adding, removing, and managing document URLs.
- Historical validation records to review past statuses and changes.
- Integration with external tools or services for automated actions based on validation results.
- Customizable alert thresholds and notification preferences.

How to Utilize 'aeo-validator-service':
- Import the package in your Python scripts to programmatically access its validation functions.
- Use the provided methods to validate documents either by URL or by local file paths.
- Leverage the package's ability to track content hash drifts to automatically detect updates without manual intervention.
- If integrated with 'audit-stream-py', set the AUDIT_STREAM_URL environment variable to enable additional auditing capabilities.