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Attack Tree Analysis for korlibs/korge

Objective: Compromise a Korge application by exploiting vulnerabilities within the Korge framework itself.

Attack Tree Visualization

Attack Goal: Compromise Korge Application

+-- [CRITICAL NODE] Exploit Korge Vulnerabilities [HIGH RISK PATH]
    +-- [CRITICAL NODE] Asset Loading Exploits [HIGH RISK PATH]
        +-- [CRITICAL NODE] Malicious Asset Injection [HIGH RISK PATH]
            +-- [CRITICAL NODE] Unvalidated Asset Paths [HIGH RISK PATH]
    +-- Platform-Specific Vulnerabilities Exposed by Korge
        +-- [CRITICAL NODE] JavaScript/Browser Specific Exploits (Korge.js target) [HIGH RISK PATH]
            +-- [CRITICAL NODE] XSS via Korge Rendering [HIGH RISK PATH]
    +-- [CRITICAL NODE] Dependency Exploitation (Korge Dependencies) [HIGH RISK PATH]
        +-- [CRITICAL NODE] Vulnerable Korge Dependencies [HIGH RISK PATH]
            +-- [CRITICAL NODE] Exploiting Known Vulnerabilities in Libraries [HIGH RISK PATH]

Attack Tree Path: [CRITICAL NODE] Exploit Korge Vulnerabilities [HIGH RISK PATH]

  • Attack Vector Description: This is the overarching goal of exploiting any vulnerability within the Korge framework itself to compromise the application.
  • Likelihood: Varies depending on specific vulnerability, but generally Medium to High for common vulnerability types.
  • Impact: High - Can lead to full application compromise, data breaches, and service disruption.
  • Effort: Varies greatly depending on the specific vulnerability, from Low for known exploits to High for zero-day research.
  • Skill Level: Beginner to Expert, depending on the vulnerability.
  • Detection Difficulty: Varies, from Low for obvious attacks to High for subtle exploits.
  • Mitigation Strategies:
    • Regularly update Korge framework to the latest versions with security patches.
    • Implement secure coding practices when using Korge APIs.
    • Conduct security audits and penetration testing specific to Korge applications.
    • Monitor for unusual application behavior that might indicate exploitation.

Attack Tree Path: [CRITICAL NODE] Asset Loading Exploits [HIGH RISK PATH]

  • Attack Vector Description: Targeting the asset loading mechanism in Korge to introduce malicious content or cause harm.
  • Likelihood: Medium to High, as asset loading is a common and often overlooked attack surface.
  • Impact: High - Can lead to code execution, data compromise, and denial of service.
  • Effort: Low to Medium, depending on the specific exploit.
  • Skill Level: Beginner to Intermediate, depending on the exploit.
  • Detection Difficulty: Medium to High, depending on the subtlety of the attack.
  • Mitigation Strategies:
    • Implement strict input validation and sanitization for all asset paths.
    • Use secure asset loading mechanisms that restrict access to allowed directories.
    • Implement integrity checks for application assets during startup.
    • Use robust and updated parsing libraries for asset formats.
    • Implement resource limits for asset loading to prevent DoS.

Attack Tree Path: [CRITICAL NODE] Malicious Asset Injection [HIGH RISK PATH]

  • Attack Vector Description: Injecting malicious assets into the application's asset loading process.
  • Likelihood: Medium to High, especially if asset paths are not properly validated.
  • Impact: High - Can lead to code execution and application compromise.
  • Effort: Low to Medium, depending on the vulnerability in asset path handling.
  • Skill Level: Beginner to Intermediate.
  • Detection Difficulty: Medium, depends on logging and monitoring of asset loading.
  • Mitigation Strategies:
    • Implement strict input validation and sanitization for all asset paths.
    • Use secure asset loading mechanisms that restrict access to allowed directories.
    • Implement integrity checks for application assets during startup.

Attack Tree Path: [CRITICAL NODE] Unvalidated Asset Paths [HIGH RISK PATH]

  • Attack Vector Description: Exploiting the lack of validation for asset paths to load malicious assets from attacker-controlled locations or inject malicious paths.
  • Likelihood: Medium to High - Common developer oversight.
  • Impact: High - Code execution, data compromise.
  • Effort: Low to Medium - Relatively easy to manipulate paths.
  • Skill Level: Beginner to Intermediate - Basic web/application knowledge.
  • Detection Difficulty: Medium - Depends on logging and monitoring of asset loading.
  • Mitigation Strategies:
    • Implement strict input validation and sanitization for all asset paths.
    • Use secure asset loading mechanisms that restrict access to allowed directories.
    • Whitelist allowed asset directories and paths.
    • Never directly use user-provided input as asset paths without thorough validation.

Attack Tree Path: [CRITICAL NODE] JavaScript/Browser Specific Exploits (Korge.js target) [HIGH RISK PATH]

  • Attack Vector Description: Exploiting vulnerabilities specific to the JavaScript/browser environment when using Korge.js.
  • Likelihood: Medium to High, due to the inherent security challenges of web applications.
  • Impact: High - Account compromise, data theft, malicious actions on user's behalf.
  • Effort: Low to Medium, depending on the specific exploit.
  • Skill Level: Beginner to Intermediate for common web vulnerabilities like XSS.
  • Detection Difficulty: Medium, web application firewalls and scanners can help, but subtle attacks can be missed.
  • Mitigation Strategies:
    • Implement strict output encoding and sanitization when rendering user-controlled content.
    • Follow browser security best practices for XSS prevention.
    • Utilize Content Security Policy (CSP).
    • Minimize direct DOM manipulation.

Attack Tree Path: [CRITICAL NODE] XSS via Korge Rendering [HIGH RISK PATH]

  • Attack Vector Description: Cross-Site Scripting (XSS) attacks arising from improper handling of user-controlled content rendered by Korge in a browser environment.
  • Likelihood: Medium to High - XSS is a common web vulnerability, especially with dynamic content.
  • Impact: High - Account compromise, data theft, malicious actions on user's behalf.
  • Effort: Low to Medium - Well-known XSS techniques and tools.
  • Skill Level: Beginner to Intermediate - Basic web security knowledge.
  • Detection Difficulty: Medium - Web application firewalls and scanners can detect, but subtle XSS can be missed.
  • Mitigation Strategies:
    • Implement strict output encoding and sanitization when rendering user-controlled content.
    • Use appropriate escaping functions provided by Korge or platform APIs.
    • Validate and sanitize user input before processing and rendering.
    • Implement Content Security Policy (CSP) to mitigate the impact of XSS.

Attack Tree Path: [CRITICAL NODE] Dependency Exploitation (Korge Dependencies) [HIGH RISK PATH]

  • Attack Vector Description: Exploiting vulnerabilities in the external libraries and dependencies that Korge relies upon.
  • Likelihood: Medium to High - Dependency vulnerabilities are common and easily discoverable.
  • Impact: High - Depends on the vulnerability, can range from DoS to Remote Code Execution (RCE).
  • Effort: Low to Medium - Tools exist to find and exploit known vulnerabilities.
  • Skill Level: Beginner to Intermediate - Using vulnerability scanners and public exploits.
  • Detection Difficulty: Low to Medium - Vulnerability scanners and security monitoring can detect exploitation attempts.
  • Mitigation Strategies:
    • Regularly scan Korge's dependencies for known vulnerabilities using dependency checking tools.
    • Update dependencies to patched versions promptly.
    • Implement dependency management practices to track and control dependencies.
    • Consider using Software Composition Analysis (SCA) tools for continuous monitoring.

Attack Tree Path: [CRITICAL NODE] Vulnerable Korge Dependencies [HIGH RISK PATH]

  • Attack Vector Description: The presence of known vulnerabilities within the libraries that Korge depends on. This is the underlying condition that enables the "Dependency Exploitation" attack path.
  • Likelihood: Medium to High - Vulnerabilities are frequently discovered in software libraries.
  • Impact: High - Inherited from the vulnerabilities present in the dependencies.
  • Effort: N/A - This is a condition, not an attack step itself.
  • Skill Level: N/A - This is a condition, not an attack step itself.
  • Detection Difficulty: Low - Easily detectable using dependency scanning tools.
  • Mitigation Strategies:
    • Maintain an up-to-date inventory of Korge dependencies.
    • Regularly scan dependencies for known vulnerabilities.
    • Prioritize updating vulnerable dependencies.
    • Consider using automated dependency update tools.

Attack Tree Path: [CRITICAL NODE] Exploiting Known Vulnerabilities in Libraries [HIGH RISK PATH]

  • Attack Vector Description: Actively exploiting publicly known vulnerabilities in Korge's dependencies to compromise the application.
  • Likelihood: Medium to High - If vulnerabilities exist and are not patched, exploitation is likely if targeted.
  • Impact: High - Depends on the specific vulnerability, can range from DoS to Remote Code Execution (RCE).
  • Effort: Low to Medium - Public exploits and tools are often available for known vulnerabilities.
  • Skill Level: Beginner to Intermediate - Using vulnerability scanners and public exploits.
  • Detection Difficulty: Low to Medium - Security monitoring and intrusion detection systems can detect exploitation attempts.
  • Mitigation Strategies:
    • Promptly apply security patches and updates for vulnerable dependencies.
    • Implement intrusion detection and prevention systems to detect exploitation attempts.
    • Conduct regular vulnerability assessments and penetration testing.
    • Follow security advisories and vulnerability databases to stay informed about new threats.