🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential misuse due to its handling of external network calls and shell commands. However, without concrete evidence of malicious intent, it cannot be conclusively classified as malicious.

Moderate network risk due to calls to external APIs that could be used for data collection or monitoring.
High shell risk from the use of subprocess.run, which poses a significant threat for unauthorized system access.

Per-check LLM notes

Network: The network calls to external APIs like ip-api, proxycheck, and stopforumspam may be legitimate for IP checking purposes, but could also indicate data collection or monitoring.
Shell: The use of shell commands with subprocess.run can pose risks as it might be used for unauthorized system access or data retrieval, especially on Windows with PowerShell.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author information is incomplete and the maintainer has only one package, which may indicate a less established or potentially suspicious account.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

1 test file(s) detected (e.g. test_cli.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1562 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Development Status classifier >= Beta

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 25 commits in stormzhang/ipcheck
Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

fo(): try: resp = requests.get( "http://ip-api.com/json/", params={
(ip): try: resp = requests.get( f"https://proxycheck.io/v2/{ip}", p
(ip): try: resp = requests.get( "https://api.stopforumspam.org/api",

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

try: r = subprocess.run( ['powershell', '-NoProfile', '-Command',
try: r = subprocess.run( ['scutil', '--dns'], capture_output=Tru
urn None try: r = subprocess.run( ['scutil', '--proxy'], capture_output=True, tex
try: ifconfig_r = subprocess.run( ['ifconfig'], capture_output=True, text=True, t
', 'route'] route_r = subprocess.run(route_cmd, capture_output=True, text=True, timeout=3)

✓ 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

Repository stormzhang/ipcheck 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 ai-ipcheck

Create a comprehensive network diagnostics mini-app using Python's 'ai-ipcheck' package. This app will serve as a valuable tool for developers and network administrators to ensure their AI projects have a stable and secure network environment. Here’s a detailed breakdown of what your mini-app should accomplish:

1. **Network Environment Compatibility Check**: Implement a feature that allows users to input an IP address and then checks if the network environment is compatible for running AI applications. Utilize 'ai-ipcheck' to perform these checks.
2. **IP Reputation Analysis**: Integrate functionality to analyze the reputation of the provided IP address. This feature should inform users about potential risks associated with the IP, such as being flagged for malicious activities.
3. **Real-time Network Status Updates**: Enable real-time monitoring of the network status for the given IP. Users should receive immediate alerts if there are any changes that could affect the stability of their AI systems.
4. **User-friendly Interface**: Design an intuitive interface where users can easily input IP addresses and view results. Consider using a web framework like Flask or Django for this purpose.
5. **Detailed Reports**: Allow users to generate detailed reports based on the diagnostic tests performed. These reports should include all relevant information gathered from the 'ai-ipcheck' package.
6. **Security Measures**: Ensure that the app includes basic security measures to protect user data and prevent unauthorized access.

Suggested Features:
- Support for batch processing of multiple IP addresses.
- Integration with popular cloud services for additional diagnostics.
- Customizable alert settings for users to tailor notifications based on their needs.
- Historical data tracking to monitor changes over time.

How 'ai-ipcheck' is Utilized:
- For each diagnostic test, call specific functions from the 'ai-ipcheck' package to gather necessary data.
- Use the package's capabilities to assess network health, IP reputation, and compatibility with AI workloads.
- Leverage 'ai-ipcheck' for its real-time monitoring functionalities to provide up-to-date network status updates.

Your goal is to create a robust, user-friendly mini-app that leverages the power of 'ai-ipcheck' to help developers and network administrators make informed decisions about their AI project's network infrastructure.