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Attack Tree Analysis for fyne-io/fyne

Objective: To execute arbitrary code on the user's system (RCE) or exfiltrate sensitive data displayed or processed by the Fyne application.

Attack Tree Visualization

                                      +-------------------------------------------------+
                                      |  Attacker Goal: RCE or Data Exfiltration via Fyne App |
                                      +-------------------------------------------------+
                                                       |
          +--------------------------------------------------------------------------------+
          |                                                                                |
+-------------------------+                                                 +-------------------------+
|  1. Exploit Fyne's     |                                                 |  2. Exploit Fyne's     |
|     Rendering/GUI      |                                                 |     Data Handling/      |
|     Components         |                                                 |     Storage Mechanisms  |
+-------------------------+                                                 +-------------------------+
          |                                                                                 |
+---------+                                                                   +---------+
|   1.1   |                                                                   |   2.2   |
|   Input |                                                                   |   File  |
|   Valid.|                                                                   |   I/O   |
|   Bypass|                                                                   |   Vuln. |
|  [HIGH] |                                                                   | [CRITICAL]|
+---------+                                                                   +---------+
    |                                                                            |
+---+---+                                                                    +---+---+
| 1.1.1 |
|  ...  |                                                                    | 2.2.1 |
| [HIGH] |                                                                    |  ...  |
+-----+                                                                    +-----+
          |
+---------+
|   1.4   |
|   Canvas|
|   API   |
|   Vuln. |
| [CRITICAL]|
+---------+
    |
+---+---+
| 1.4.1 |
|  ...  |
| [CRITICAL]|
+-----+

Attack Tree Path: 1. Exploit Fyne's Rendering/GUI Components

  • 1.1 Input Validation Bypass [HIGH]:

    • Description: The attacker attempts to bypass Fyne's built-in input validation mechanisms for widgets like Entry, TextGrid, etc., to inject malicious data.

    • Likelihood: Medium

    • Impact: High to Very High

    • Effort: Low to Medium

    • Skill Level: Intermediate

    • Detection Difficulty: Medium

    • Mitigation:

      • Implement robust input validation within the application logic, in addition to Fyne's validation.
      • Fuzz test all input widgets with unexpected characters, large inputs, and boundary conditions.
      • Sanitize all user-provided input before using it in any sensitive operations (e.g., file paths, database queries, drawing operations).
      • Regularly review Fyne's source code for input handling in relevant widgets.

    • 1.1.1 ... (Example: Entry Widget Bypass) [HIGH]:

      • Description: Specifically targeting the Entry widget (or similar text input widgets) to inject malicious code or data that bypasses expected validation. This could involve injecting special characters, exceeding length limits, or exploiting type confusion vulnerabilities.
      • Likelihood: Medium
      • Impact: High
      • Effort: Low
      • Skill Level: Intermediate
      • Detection Difficulty: Medium
      • Mitigation: Same as 1.1, with a specific focus on the Entry widget and its configuration.

  • 1.4 Canvas API Vulnerabilities [CRITICAL]:

    • Description: The attacker exploits vulnerabilities in Fyne's canvas package, which provides low-level drawing capabilities. This is a critical area because it can lead to direct manipulation of graphics memory.

    • Likelihood: Low to Medium

    • Impact: Very High

    • Effort: High

    • Skill Level: Expert

    • Detection Difficulty: Very Hard

    • Mitigation:

      • Be extremely careful with input data and memory management when using the canvas API.
      • Avoid using untrusted data directly in drawing operations.
      • Thoroughly review the canvas package source code for potential vulnerabilities.
      • Use memory safety tools (e.g., Valgrind, AddressSanitizer) during development and testing.
      • Validate all coordinates, sizes, and transformations used in drawing operations.
      • Consider using a higher-level abstraction if possible, rather than directly manipulating the canvas API.

    • 1.4.1 ... (Example: Raster Image Buffer Overflow) [CRITICAL]:

      • Description: A specific vulnerability where the attacker provides a malformed or oversized image to the canvas.Raster object, causing a buffer overflow and potentially leading to arbitrary code execution.
      • Likelihood: Low
      • Impact: Very High
      • Effort: High
      • Skill Level: Expert
      • Detection Difficulty: Very Hard
      • Mitigation:
        • Strictly validate the size and format of all image data before passing it to canvas.Raster.
        • Use memory safety tools to detect buffer overflows.
        • Consider using a safer image loading library if possible.

Attack Tree Path: 2. Exploit Fyne's Data Handling/Storage Mechanisms

  • 2.2 File I/O Vulnerabilities [CRITICAL]:

    • Description: The attacker exploits vulnerabilities in how Fyne handles file input/output operations. This is a critical area because it can lead to arbitrary file access, data exfiltration, or RCE.

    • Likelihood: Medium

    • Impact: High to Very High

    • Effort: Low to Medium

    • Skill Level: Intermediate

    • Detection Difficulty: Medium

    • Mitigation:

      • Always validate file paths provided by the user, even if they come from a Fyne file dialog.
      • Use Fyne's APIs to restrict file access to specific directories (sandboxing).
      • Avoid using absolute paths.
      • Use the most restrictive file permissions possible.
      • Sanitize file names and paths to prevent path traversal attacks.
      • Review Fyne's file I/O implementation for potential vulnerabilities.

    • 2.2.1 ... (Example: Path Traversal) [CRITICAL]:

      • Description: A specific vulnerability where the attacker uses specially crafted file paths (e.g., containing "../" sequences) to access files outside of the intended directory.
      • Likelihood: Medium
      • Impact: High
      • Effort: Low
      • Skill Level: Intermediate
      • Detection Difficulty: Medium
      • Mitigation:
        • Implement robust path sanitization to remove or escape any characters that could be used for path traversal.
        • Use a whitelist approach to allow access only to specific files or directories.
        • Avoid constructing file paths directly from user input.