Skip to content

Latest commit

 

History

History
105 lines (90 loc) · 7.89 KB

attack-tree.md

File metadata and controls

105 lines (90 loc) · 7.89 KB

Attack Tree Analysis for wasabeef/recyclerview-animators

Objective: Degrade Application Performance or Cause DoS via recyclerview-animators

Attack Tree Visualization

Goal: Degrade Application Performance or Cause DoS via recyclerview-animators

└── 1. Excessive Animation Triggering [HIGH RISK] ├── 1.1 Rapid Data Updates │ └── 1.1.1 Flood Network with Update Requests (if data is fetched externally) │ └── 1.1.1.1 Exploit Weak Input Validation on Update Frequency {CRITICAL} └── 1.2 Simultaneous Animations on Many Items [HIGH RISK] └── 1.2.1 Trigger Large Dataset Display └── 1.2.1.1 Bypass Pagination/Lazy Loading Mechanisms {CRITICAL}

└── 2. Exploit Animation Implementation Vulnerabilities ├── 2.1 Resource Exhaustion via Complex Animations │ └── 2.1.2 Trigger Animations with Extremely Long Durations or Delays │ └── 2.1.2.1 Bypass Duration/Delay Limits {CRITICAL} └── 2.2 Memory Leaks ├── 2.2.1 Repeatedly Trigger Animations Without Proper Cleanup │ └── 2.2.1.1 Exploit Potential Memory Management Issues in the Library {CRITICAL} └── 2.2.2 Trigger animation on detached views. └── 2.2.2.1 Exploit race condition in RecyclerView {CRITICAL}

└── 3. Interfere with User Interaction ├── 3.1 Animation Blocking ├── 3.1.1 Trigger long lasting animation │ └── 3.1.1.1 Bypass duration limits {CRITICAL}

Attack Tree Path: 1. Excessive Animation Triggering [HIGH RISK]

  • Description: This is the overarching high-risk category. The attacker aims to overload the UI thread by forcing the application to perform an excessive number of animations. This can lead to jank (stuttering), unresponsiveness, and potentially application crashes.
  • Sub-Paths:

    • 1.1 Rapid Data Updates:

      • Description: The attacker attempts to trigger animations repeatedly by rapidly updating the data displayed in the RecyclerView.
      • Critical Node:
        • 1.1.1.1 Exploit Weak Input Validation on Update Frequency:
          • Description: The attacker leverages insufficient or absent input validation to send a flood of update requests to the application. If the application doesn't limit the rate of updates, the RecyclerView will attempt to animate each change, leading to performance issues.
          • Likelihood: Medium
          • Impact: Medium
          • Effort: Low
          • Skill Level: Intermediate
          • Detection Difficulty: Medium
          • Mitigation: Implement strict rate limiting on data updates. Use techniques like debouncing or throttling to consolidate rapid updates into fewer animation triggers. Validate all input that affects update frequency.

    • 1.2 Simultaneous Animations on Many Items:

      • Description: The attacker tries to force the application to animate a large number of items concurrently. This is computationally expensive and can overwhelm the UI thread.
      • Critical Node:
        • 1.2.1.1 Bypass Pagination/Lazy Loading Mechanisms:
          • Description: The attacker circumvents mechanisms designed to limit the number of items displayed at once (pagination or lazy loading). By doing so, they force the RecyclerView to render and animate a potentially massive dataset, leading to performance degradation.
          • Likelihood: Medium
          • Impact: Medium
          • Effort: Medium
          • Skill Level: Intermediate
          • Detection Difficulty: Medium
          • Mitigation: Ensure that pagination and lazy loading are implemented securely and cannot be easily bypassed. Validate any parameters that control the number of items loaded. Consider server-side enforcement of limits.

Attack Tree Path: 2. Exploit Animation Implementation Vulnerabilities

*   **2.1.2 Trigger Animations with Extremely Long Durations or Delays:**
    *   **Critical Node:**
        *   **2.1.2.1 Bypass Duration/Delay Limits:**
            *   **Description:** The attacker manipulates animation parameters (duration or delay) to create extremely long-running animations. This can effectively freeze the UI thread, making the application unresponsive.
            *   **Likelihood:** Medium
            *   **Impact:** Medium
            *   **Effort:** Low
            *   **Skill Level:** Intermediate
            *   **Detection Difficulty:** Medium
            *   **Mitigation:** Enforce strict limits on animation duration and delay. Validate any input that controls these parameters. Consider using a watchdog timer to interrupt animations that exceed a reasonable threshold.

*   **2.2 Memory Leaks**
    *   **Critical Node:**
        *   **2.2.1.1 Exploit Potential Memory Management Issues in the Library:**
            *   **Description:** The attacker exploits a bug in the `recyclerview-animators` library (or in the application's interaction with it) that causes memory to be allocated but not released. Repeatedly triggering animations with this flaw leads to a memory leak, eventually crashing the application.
            *   **Likelihood:** Low
            *   **Impact:** High
            *   **Effort:** High
            *   **Skill Level:** Advanced
            *   **Detection Difficulty:** Hard
            *   **Mitigation:** Use memory profiling tools (like Android Studio's Profiler) to monitor memory usage during animation sequences. Look for any signs of memory leaks. If a leak is found in the library, report it to the maintainers (or contribute a fix!). Ensure that the application correctly handles RecyclerView lifecycle events to allow for proper cleanup. Keep the library updated.
    *   **Critical Node:**
        *   **2.2.2.1 Exploit race condition in RecyclerView:**
            *   **Description:** The attacker exploits a race condition in the `recyclerview-animators` library (or in the application's interaction with it) that causes memory to be allocated but not released. Repeatedly triggering animations with this flaw leads to a memory leak, eventually crashing the application.
            *   **Likelihood:** Low
            *   **Impact:** High
            *   **Effort:** High
            *   **Skill Level:** Advanced
            *   **Detection Difficulty:** Hard
            *   **Mitigation:** Use memory profiling tools (like Android Studio's Profiler) to monitor memory usage during animation sequences. Look for any signs of memory leaks. If a leak is found in the library, report it to the maintainers (or contribute a fix!). Ensure that the application correctly handles RecyclerView lifecycle events to allow for proper cleanup. Keep the library updated.

Attack Tree Path: 3. Interfere with User Interaction

*   **3.1.1 Trigger long lasting animation**
    *   **Critical Node:**
        *   **3.1.1.1 Bypass duration limits:**
            *   **Description:** The attacker manipulates animation parameters (duration) to create extremely long-running animations. This can effectively block user interaction.
            *   **Likelihood:** Medium
            *   **Impact:** Medium
            *   **Effort:** Low
            *   **Skill Level:** Intermediate
            *   **Detection Difficulty:** Medium
            *   **Mitigation:** Enforce strict limits on animation duration. Validate any input that controls these parameters.