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Attack Tree Analysis for mamaral/onboard

Objective: Gain unauthorized access to user accounts or application data via onboard

Attack Tree Visualization

Goal: Gain unauthorized access to user accounts or application data via onboard

├── 1. Bypass Authentication/Authorization [HIGH RISK] │ ├── 1.1 Exploit onboard's Token Handling [HIGH RISK] │ │ ├── 1.1.1 Predictable Token Generation │ │ │ └── 1.1.1.1 Weak Randomness in Token Secret [CRITICAL] │ │ ├── 1.1.2 Token Replay Attack │ │ │ └── 1.1.2.2 Insufficient Validation of Expiration [CRITICAL] │ │ ├── 1.1.3 Token Tampering [HIGH RISK] │ │ │ └── 1.1.3.1 Weak or No Signature Verification [CRITICAL] │ │ └── 1.1.4 Token Leakage [HIGH RISK] │ │ └── 1.1.4.1 Insecure Storage [CRITICAL] │ ├── 1.2 Exploit onboard's User Management │ │ ├── 1.2.1 Weak Password Reset Functionality │ │ │ └── 1.2.1.2 Lack of Rate Limiting on Reset Requests [CRITICAL] │ │ ├── 1.2.2 Account Enumeration │ │ │ └── 1.2.2.1 Different Responses for Existing/Non-Existing Users [CRITICAL] │ ├── 2. Denial of Service (DoS) against onboard │ ├── 2.1 Resource Exhaustion [HIGH RISK] │ │ └── 2.1.2 Flood of Authentication Requests [CRITICAL] │ └── 2.2 Exploit Vulnerabilities in Dependencies │ └── 2.2.1 Known Vulnerabilities in jsonwebtoken or other dependencies [CRITICAL]

This is the primary attack path, aiming to circumvent the authentication mechanisms provided by onboard.

This focuses on vulnerabilities related to how onboard generates, handles, and validates tokens.

Description: The attacker exploits a weak or predictable method used to generate the secret key for signing tokens. This allows them to forge valid tokens. Likelihood: Low (if best practices are followed) Impact: Very High (full account compromise) Effort: Low (if the secret is easily guessable) to High (if brute-forcing a strong secret) Skill Level: Intermediate to Expert Detection Difficulty: Hard

Attack Tree Path: 1.1.2 Token Replay Attack

Description: The application fails to properly validate the expiration time of a token, allowing an attacker to reuse an intercepted token even after it should have expired. Likelihood: Low (application-level error) Impact: High Effort: Low Skill Level: Intermediate Detection Difficulty: Medium

Description: The application fails to properly verify the digital signature of the JWT, allowing an attacker to modify the token's payload (e.g., change the user ID) without detection. Likelihood: Very Low (core functionality of JWT) Impact: Very High Effort: Medium Skill Level: Advanced Detection Difficulty: Hard

Description: Tokens are stored in an insecure location (e.g., client-side JavaScript, browser local storage, easily accessible logs) where an attacker can easily obtain them. Likelihood: Medium (depends on application implementation) Impact: High Effort: Low Skill Level: Novice to Intermediate Detection Difficulty: Medium

This focuses on vulnerabilities in user management features, such as password reset and account creation.

Description: The application doesn't limit the number of password reset requests an attacker can make, allowing them to brute-force reset tokens or flood the system. Likelihood: Medium (common oversight) Impact: Medium (DoS or potential for brute-forcing reset tokens) Effort: Low Skill Level: Novice Detection Difficulty: Easy

Attack Tree Path: 1.2.2 Account Enumeration

Description: The application provides different responses (error messages, timing differences) when a user tries to register or reset a password for an existing vs. non-existing account. This allows an attacker to determine which usernames or email addresses are valid. Likelihood: Medium (common vulnerability) Impact: Low (information disclosure) Effort: Low Skill Level: Novice Detection Difficulty: Easy

This attack path aims to make the application unavailable to legitimate users.

This involves overwhelming the server with requests, consuming resources and preventing legitimate users from accessing the service.

Description: The attacker sends a large number of authentication requests to the server, overwhelming the authentication endpoints and potentially causing the service to become unavailable. Likelihood: Medium (if rate limiting is not implemented) Impact: Medium Effort: Low Skill Level: Novice Detection Difficulty: Easy

This focuses on leveraging known vulnerabilities in the libraries that onboard depends on.

Description: The attacker exploits a known vulnerability in a dependency of onboard, such as jsonwebtoken. This could lead to various consequences, depending on the specific vulnerability. Likelihood: Low (if dependencies are kept up-to-date) Impact: Variable (depends on the vulnerability) Effort: Variable (depends on the vulnerability) Skill Level: Variable (depends on the vulnerability) Detection Difficulty: Medium