🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in network, shell, obfuscation, and credential areas but has a notable metadata risk due to missing repository and sparse maintainer information.

Metadata risk due to lack of repository and sparse maintainer details
Potential supply chain risk due to sparse metadata

Per-check LLM notes

Network: Network calls are likely for legitimate API interactions given the package's name and context.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The repository is not found and the maintainer information is sparse, indicating potential risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

): self._http = httpx.Client( base_url=base_url, headers={"X-AP
): self._http = httpx.AsyncClient( base_url=base_url, headers={"X-AP

✓ 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 score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ 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 aegis-guardian

Create a real-time safety monitoring system for a gaming platform using the Python package 'aegis-guardian'. This system will serve as a guardian for young players, ensuring their online experience is safe and moderated in real-time. Here are the key components of your project:

1. **User Interface**: Develop a simple yet effective user interface where game administrators can monitor player activities and receive alerts about potentially harmful behavior.
2. **Integration with Gaming Platforms**: Ensure seamless integration with popular gaming platforms like Unity or Unreal Engine. This involves setting up APIs to fetch real-time data on player interactions.
3. **Real-Time Moderation**: Utilize the 'aegis-guardian' package to analyze chat messages, in-game actions, and other forms of player interaction in real-time. The system should be able to flag inappropriate content or behavior immediately.
4. **Alert System**: Implement an alert system that notifies moderators via email or SMS when potential risks are detected. These alerts should include details such as the player’s ID, the nature of the flagged activity, and timestamps.
5. **Reporting Mechanism**: Allow users to report suspicious activities directly from within the game. The system should then process these reports and update the moderation queue accordingly.
6. **Analytics Dashboard**: Provide an analytics dashboard for administrators to review past incidents, trends, and overall safety metrics. This dashboard should help in making informed decisions regarding future safety measures.
7. **Customization Options**: Offer customization options for different age groups and regions, allowing for more tailored safety protocols based on cultural and legal requirements.

For each component, detail how you plan to utilize the 'aegis-guardian' package, focusing on its ability to perform real-time analysis and provide immediate feedback. Additionally, discuss how you will handle privacy concerns and ensure compliance with relevant laws and regulations.