admina-core

v0.9.3 suspicious
4.0
Medium Risk

Admina governance engines — Rust core with Python bindings (firewall, PII, loop breaker, hash chain)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network, shell execution, obfuscation, and credential handling. However, the metadata risk due to the maintainer's new or inactive account and lack of detailed author information raises some suspicion.

  • Low individual risk scores across various categories.
  • Metadata risk due to potential lack of maintainer credibility.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The maintainer has a new or inactive account and lacks a full author name, indicating potential lack of credibility.

🔬 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: admina.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository admina-org/admina appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • 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 admina-core 
Develop a privacy-focused data management tool using the 'admina-core' package. This tool will serve as a robust solution for handling sensitive data within an organization, ensuring compliance with data protection regulations such as GDPR and CCPA. The application should integrate seamlessly into existing workflows and provide real-time monitoring and control over data access and usage.

**Features of the Application:**
1. **Firewall Integration:** Implement a firewall module that blocks unauthorized access attempts based on predefined rules and policies. Use 'admina-core' to enforce these rules dynamically.
2. **PII Masking:** Develop a feature that automatically masks Personally Identifiable Information (PII) in datasets. Utilize the PII detection capabilities of 'admina-core' to identify sensitive fields and apply appropriate masking techniques.
3. **Loop Detection and Breaking:** Incorporate functionality to detect and prevent infinite loops in data processing workflows. Employ 'admina-core' to monitor workflow execution and intervene when necessary to break potential cycles.
4. **Hash Chain Management:** Implement a system for securely storing and managing hashed versions of sensitive data. Leverage the hash chain capabilities provided by 'admina-core' to ensure data integrity and confidentiality.
5. **Real-Time Alerts:** Set up an alert mechanism that notifies administrators whenever there is an attempt to breach security protocols or handle sensitive data improperly. Use 'admina-core' to trigger these alerts based on specific events or anomalies detected during runtime.

**Steps to Build the Application:**
1. **Setup Environment:** Begin by setting up your development environment. Install Python and the 'admina-core' package from its official repository.
2. **Design Data Flow Diagrams:** Sketch out how data will flow through your application, highlighting key points where 'admina-core' features will be applied.
3. **Implement Firewall Module:** Code the firewall integration, utilizing 'admina-core' to define and enforce access control policies.
4. **Develop PII Masking Feature:** Write scripts that use 'admina-core' to detect PII in datasets and apply appropriate masking techniques.
5. **Integrate Loop Detection:** Implement the loop detection and breaking feature, leveraging 'admina-core' to monitor and manage workflow execution.
6. **Build Hash Chain System:** Create a subsystem for secure data hashing and storage, utilizing 'admina-core' to maintain data integrity.
7. **Configure Alert Mechanism:** Finalize the application by setting up real-time alerts based on 'admina-core' event triggers.
8. **Testing and Deployment:** Thoroughly test all functionalities before deploying the application in a live environment.

This project aims to showcase the versatility and power of 'admina-core' in building secure, efficient, and compliant data management solutions.