algosec-appviz

v0.1.8 suspicious
4.0
Medium Risk

AlgoSec AppViz Library

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package presents a low immediate threat but raises some concerns due to the maintainer's limited history with PyPI. Further investigation into the maintainer's background and package usage is recommended.

  • Low obfuscation risk
  • No credential harvesting detected
  • Maintainer has only one package on PyPI
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The maintainer has only one package on PyPI, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/bogdan-iot/algosec-appviz/blob/master/REA
  • Detailed PyPI description (911 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ 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 35 commits in bogdan-iot/algosec-appviz
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • } response = requests.post(login_url, json=data, headers=headers, proxies=self.proxies)
  • }...") response = requests.get(url=self.url + '/BusinessFlow/rest/v2/activity_logs/search',
  • 'get': response = requests.get(url, headers=headers, json=body, params=params, proxies=self
  • post': response = requests.post(url, headers=headers, json=body, params=params, proxies=self
  • lete': response = requests.delete(url, headers=headers, json=body, params=params, proxies=self
✓ 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

Repository bogdan-iot/algosec-appviz appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Bogdan Radu" 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 algosec-appviz 
Create a network visualization tool using the 'algosec-appviz' Python package. This tool will help network administrators visualize and understand the flow of traffic between different applications within their network. The application should allow users to input a set of network configurations and then generate a graphical representation of the application-to-application communication paths. Key functionalities include:

1. **User Input**: Provide a user-friendly interface where network administrators can enter details about their network applications, including IP addresses, port numbers, and protocols.
2. **Visualization Generation**: Utilize the 'algosec-appviz' library to process the input data and generate a visual map of the network topology. This includes nodes representing applications and edges representing communication links between them.
3. **Customization Options**: Allow customization of the visualization, such as changing colors, labels, and layout styles to better suit the user's needs.
4. **Export Functionality**: Implement the ability to export the generated network visualization into common image formats (like PNG or SVG) for easy sharing and documentation.
5. **Error Handling and Feedback**: Ensure robust error handling for invalid inputs and provide clear feedback messages to guide users through any issues encountered during data entry.

The 'algosec-appviz' package will be central to the functionality of this tool, particularly in parsing and interpreting the network configuration data to create accurate and insightful visualizations. Additionally, explore integrating additional features like real-time updates and alerts based on changes in network traffic patterns, enhancing the utility of your tool for dynamic network environments.

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