threat-modeling.md

Threat Model Analysis for iawia002/lux

Threat: Dependency Vulnerability Exploitation

• Description: An attacker exploits a known vulnerability within the lux library or its dependencies. This could involve sending crafted requests or inputs to trigger the vulnerability. For example, an attacker might exploit a code injection vulnerability to execute arbitrary code on the server or client running the application.
• Impact: Depending on the vulnerability, impacts can range from information disclosure (e.g., leaking sensitive data), denial of service (crashing the application), to remote code execution (gaining full control of the system).
• Affected Lux Component: Core lux library code, potentially specific modules or functions depending on the vulnerability. Dependencies of lux are also in scope.
• Risk Severity: High to Critical (depending on the nature of the vulnerability)
• Mitigation Strategies:
  • Regularly update lux to the latest stable version to patch known vulnerabilities.
  • Use automated dependency scanning tools to identify known vulnerabilities in lux and its dependencies.
  • Subscribe to security advisories and vulnerability databases related to Python and libraries used by lux.
  • Implement a process for promptly addressing reported vulnerabilities.

Threat: Malicious URL Injection via Parsing Manipulation

• Description: An attacker compromises a target website or manipulates its content in a way that causes lux to extract URLs pointing to malicious resources instead of legitimate media. This could involve injecting malicious URLs into website metadata or content that lux parses. The attacker aims to trick the application into downloading or processing malicious content.
• Impact: If the application automatically downloads and processes content from extracted URLs, it could download and potentially execute malware. This could lead to system compromise, data theft, or other malicious activities.
• Affected Lux Component: URL extraction logic within website-specific parsing modules, core URL handling functions.
• Risk Severity: Medium to High (depending on application's handling of extracted URLs - considered High if auto-download is enabled without validation)
• Mitigation Strategies:
  • Implement strict validation of URLs extracted by lux before using them. Verify URL schemes (HTTPS preferred), domains, and potentially file extensions.
  • Use Content Security Policy (CSP) if extracted media is displayed in a web context to restrict content sources.
  • Process downloaded media in a sandboxed or isolated environment.
  • Require user confirmation before downloading or processing content from URLs extracted by lux, especially from untrusted sources.