Skip to content

Latest commit

 

History

History
159 lines (139 loc) · 7.9 KB

attack-tree.md

File metadata and controls

159 lines (139 loc) · 7.9 KB

Attack Tree Analysis for diesel-rs/diesel

Objective: Compromise Diesel Application (Exploiting Diesel-Specific Weaknesses) - Focused on High-Risk Areas

Attack Tree Visualization

  • Compromise Diesel Application [HIGH]
    • Exploit SQL Injection Vulnerabilities [HIGH]
      • Raw SQL Injection [HIGH]
      • ORM Misuse Injection [HIGH]
    • Exploit Logic/Business Logic via Diesel [HIGH]
      • Authorization Bypass [HIGH]
        • Direct Query Bypass [HIGH]
    • Exploit Diesel Library Vulnerabilities [HIGH-CRITICAL]
      • Known CVEs in Diesel [HIGH-CRITICAL]
    • Exploit Configuration/Misuse of Diesel [CRITICAL]
      • Insecure Database Credentials [CRITICAL]

Attack Tree Path: 1. Compromise Diesel Application [HIGH]

  • Description: The attacker's overarching goal to compromise the application using Diesel. This node represents the culmination of successful attacks through any of the high-risk paths below.
  • Likelihood: Medium
  • Impact: High
  • Effort: Low-Medium
  • Skill Level: Low-Medium
  • Detection Difficulty: Medium
  • Mitigation: Implement comprehensive security measures across all areas outlined in the detailed breakdowns below.

Attack Tree Path: 2. Exploit SQL Injection Vulnerabilities [HIGH]

  • Description: Attackers exploit weaknesses in SQL query construction to inject malicious SQL code. This can occur even with ORMs like Diesel if raw SQL is used or ORM features are misused.
  • Likelihood: Medium
  • Impact: High
  • Effort: Low
  • Skill Level: Medium
  • Detection Difficulty: Medium
  • Mitigation:

    • Prioritize parameterized queries using Diesel's query builder.

    • Minimize or eliminate the use of sql_query with user-controlled input.

    • If sql_query is necessary, meticulously use parameterized queries.

    • Conduct code reviews focusing on SQL query construction.

    • Implement input validation and sanitization as a defense-in-depth measure.

    • Consider using a Web Application Firewall (WAF).

    • 2.1. Raw SQL Injection [HIGH]

      • Description: Direct SQL injection through the use of sql_query or similar raw SQL execution features when handling user input without proper sanitization or parameterization.
      • Likelihood: Medium
      • Impact: High
      • Effort: Low
      • Skill Level: Medium
      • Detection Difficulty: Medium
      • Mitigation:
        • Avoid sql_query with user input.
        • If unavoidable, strictly use parameterized queries.
        • Input validation and sanitization.

    • 2.2. ORM Misuse Injection [HIGH]

      • Description: SQL injection vulnerabilities arising from incorrect usage of Diesel's ORM features, such as improper dynamic query construction or incorrect parameterization even when using the query builder.
      • Likelihood: Medium
      • Impact: High
      • Effort: Low
      • Skill Level: Medium
      • Detection Difficulty: Medium
      • Mitigation:
        • Always use Diesel's query builder methods with parameters.
        • Carefully review dynamic query construction.
        • Utilize Diesel's type system effectively.

Attack Tree Path: 3. Exploit Logic/Business Logic via Diesel [HIGH]

  • Description: Attackers manipulate Diesel queries to bypass intended application logic and authorization, leading to unauthorized data access or manipulation.
  • Likelihood: Medium
  • Impact: High
  • Effort: Low-Medium
  • Skill Level: Low-Medium
  • Detection Difficulty: Medium
  • Mitigation:

    • Implement robust authorization checks before executing Diesel queries.

    • Centralize authorization logic and apply it consistently.

    • Carefully review query filters, especially those involving user input.

    • Use parameterized queries for authorization filters.

    • 3.1. Authorization Bypass [HIGH]

      • Description: Bypassing data access controls through manipulation of Diesel queries, allowing access to data the attacker should not be authorized to see or modify.

      • Likelihood: Medium

      • Impact: High

      • Effort: Low

      • Skill Level: Low

      • Detection Difficulty: Medium

      • Mitigation:

        • Centralize authorization logic, not solely relying on query WHERE clauses.
        • Use parameterized queries for authorization filters.
        • Principle of Least Privilege for database users.

      • 3.1.1. Direct Query Bypass [HIGH]

        • Description: Directly manipulating query parameters to alter or remove WHERE clauses intended for authorization, bypassing access controls.
        • Likelihood: Medium
        • Impact: High
        • Effort: Low
        • Skill Level: Low
        • Detection Difficulty: Medium
        • Mitigation:
          • Strong, centralized authorization logic.
          • Parameterized queries for authorization.
          • Regular authorization audits.

Attack Tree Path: 4. Exploit Diesel Library Vulnerabilities [HIGH-CRITICAL]

  • Description: Exploiting known vulnerabilities (CVEs) within the Diesel library itself.
  • Likelihood: Low
  • Impact: High-Critical
  • Effort: Low-Medium
  • Skill Level: Medium
  • Detection Difficulty: Low-Medium
  • Mitigation:

    • Regularly update Diesel to the latest stable version.

    • Monitor security vulnerability databases for Diesel-related CVEs.

    • Implement a dependency management strategy.

    • Have a plan for rapid patching in case of CVE disclosure.

    • 4.1. Known CVEs in Diesel [HIGH-CRITICAL]

      • Description: Exploiting publicly disclosed vulnerabilities in specific Diesel versions.
      • Likelihood: Low
      • Impact: High-Critical
      • Effort: Low-Medium
      • Skill Level: Medium
      • Detection Difficulty: Low-Medium
      • Mitigation:
        • Proactive Diesel updates.
        • CVE monitoring.
        • Dependency management.

Attack Tree Path: 5. Exploit Configuration/Misuse of Diesel [CRITICAL]

  • Description: Exploiting vulnerabilities arising from insecure configuration or misuse of Diesel by developers, particularly related to database credentials.
  • Likelihood: Medium
  • Impact: Critical
  • Effort: Low
  • Skill Level: Low
  • Detection Difficulty: Low
  • Mitigation:

    • Secure database credential management practices.

    • Regular configuration reviews.

    • Developer training on secure Diesel configuration.

    • 5.1. Insecure Database Credentials [CRITICAL]

      • Description: Compromise due to insecure storage or handling of database credentials, such as hardcoding them in the application.
      • Likelihood: Medium
      • Impact: Critical
      • Effort: Low
      • Skill Level: Low
      • Detection Difficulty: Low
      • Mitigation:
        • Never hardcode database credentials.
        • Use environment variables or secure configuration management.
        • Enforce strong passwords for database users.
        • Restrict database user permissions.
        • Implement secret scanning in CI/CD pipelines.