🤖 AI Analysis

Final verdict: SUSPICIOUS

The package AynOps v1.1.0 has low risks for network, shell, and obfuscation activities. However, the metadata risk score is high due to missing maintainer history and recent upload, raising suspicion about its authenticity.

High metadata risk
Recent upload with no maintainer history

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution detected, indicating no immediate risk from command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows several red flags including a lack of maintainer history and a recent upload, indicating potential risk.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 10.0

5 maintainer concern(s) found

Only one version has ever been released — brand new package
Package uploaded less than 24 hours ago (2026-06-04T13:21:14.000Z)
Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with AynOps

Develop a Python-based mini-application called 'CyberEye' which leverages the AynOps package to provide real-time cybersecurity reconnaissance for domain names and IP addresses. CyberEye should be designed as a command-line tool that accepts user input and returns comprehensive security information about the targets. Here are the key functionalities your application should include:

1. **Domain Information Gathering**: Users should be able to enter a domain name, and CyberEye will use AynOps to fetch and display WHOIS information, DNS records, and any associated IP addresses.
2. **IP Address Analysis**: For IP addresses entered by users, CyberEye should perform a series of checks using AynOps, including but not limited to port scanning, SSL certificate details, and IP reputation score.
3. **Vulnerability Assessment**: Integrate AynOps's CVE lookup feature to allow users to check if there are any known vulnerabilities associated with the domain or IP address they're investigating.
4. **Real-Time Alerts**: Implement a notification system that alerts users if any critical security issues are found during the reconnaissance process, such as high-risk vulnerabilities or suspicious activities.
5. **User Interface**: Ensure the application has a clean, easy-to-use command-line interface that clearly displays all gathered data and provides options for further actions.
6. **Data Export**: Allow users to export the gathered information into a CSV file for record-keeping or further analysis.
7. **Batch Processing**: Enable users to submit multiple domains/IPs at once and have CyberEye process them sequentially, providing consolidated reports.

Utilize the AynOps package throughout the development process to handle all the heavy lifting regarding data retrieval and processing. Focus on making CyberEye both powerful and user-friendly, ensuring it can serve as a valuable tool for cybersecurity professionals and enthusiasts alike.