🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential incomplete network communication and suspicious metadata indicators, suggesting possible supply-chain concerns.

Network calls with missing 'Authorization' headers
Suspicious non-HTTPS link and single package from new/inactive maintainer

Per-check LLM notes

Network: The presence of network calls with incomplete headers may indicate the package is designed to communicate with external services, but the missing 'Authorization' header suggests potential issues or incomplete code.
Shell: No shell execution patterns were detected, indicating low risk in this area.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no immediate risk associated with secret or credential theft.
Metadata: Suspicious non-HTTPS link and single package from new/inactive maintainer suggest potential risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

ests) self.session = requests.Session() self.session.headers.update({ "Autho

✓ 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 score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://suspicious-link.com

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Aeglis Systems" 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 aeglis

Create a security monitoring dashboard using the Aeglis Security API via its official Python SDK 'aeglis'. This dashboard will allow users to monitor their security status in real-time and provide alerts for any potential threats. Here’s how you can structure your project:

1. **Project Setup**: Begin by setting up a virtual environment and installing the 'aeglis' package.
2. **Authentication & Initialization**: Implement a mechanism for users to authenticate with their Aeglis account credentials. Use these credentials to initialize the 'aeglis' SDK client.
3. **Real-Time Monitoring**: Utilize the 'aeglis' package to fetch real-time security data from the Aeglis API. This could include intrusion detection alerts, unauthorized access attempts, etc.
4. **Data Visualization**: Display the fetched data in an interactive dashboard. Consider using libraries such as Plotly or Dash for dynamic visualizations.
5. **Alert System**: Set up an alert system within the dashboard that triggers notifications (via email or SMS) based on specific security events or thresholds.
6. **User Interface**: Design an intuitive user interface that allows users to view their security status, configure alert preferences, and manage their security settings.
7. **Documentation**: Write comprehensive documentation detailing how to set up and use the dashboard, including API key management and troubleshooting tips.

Throughout the development process, focus on utilizing the core functionalities of the 'aeglis' package, ensuring seamless integration with the Aeglis Security API.