Feature Request: Detection and Categorization of Exposed (Potentially Risky) Interfaces

[iamthefrogy]

Summary:

Implement a feature in httpx to detect and categorize exposed interfaces into four categories based on their intended accessibility and security requirements.

Description:

For large enterprises, managing the exposure of various applications is crucial. This feature will categorize detected interfaces into:

• Customer-facing apps: Accessible on the Internet. (Just sharing this to know the problem statement for large companies)
• Contractor and vendor-facing apps: Internet-accessible with IP whitelisting.
• Colleague-facing apps (with valid justification): Internet-accessible but protected by SSO.
• Colleague-facing apps (no justification): Must not be public-facing.

Examples of Colleague-facing Apps

• GitHub: Internal repositories for source code and documentation.
• Jenkins: Continuous integration and deployment pipelines.
• Grafana: Internal dashboards for monitoring and analytics.
• Oracle Cloud Login: Administrative access to cloud resources.
• Jira: Internal project management and issue tracking.
• Confluence: Internal documentation and collaboration platforms.
• Salesforce Admin: Administrative access to CRM data.
• Internal Wikis: Company-specific knowledge bases.
• etc.

Use Cases:

• Security Audits: Assist in identifying and securing exposed interfaces.
• Compliance: Ensure compliance with internal and external security policies.
• Asset Management: Facilitate the management and monitoring of application exposure.

Benefits:

• Enhanced Security: Reduce the risk of unauthorized access to sensitive applications.
• Efficiency: Streamline the process of categorizing and securing applications.
• Proactive Management: Enable proactive measures to protect against potential security breaches.

Proposed Implementation:

• Detection: Scan for exposed interfaces and categorize them based on predefined rules.
• Categorization: Automatically categorize applications using heuristics and predefined criteria.
• Incorporate machine learning to improve categorization accuracy over time.
• Provide configuration options to define custom categorization rules.