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Attack Tree Analysis for grouper/flatuikit

Objective: Gain Unauthorized Administrative Access to the Application

Attack Tree Visualization

Goal: Gain Unauthorized Administrative Access to the Application

├── 1. Compromise Authentication [HR] │ ├── 1.1 Exploit flatuikit Authentication Logic [HR] │ │ ├── 1.1.1 Bypass Login (e.g., flawed session management in flatuikit's wrappers) [CRITICAL] │ │ │ ├── 1.1.1.1 Predictable Session Tokens (if flatuikit customizes token generation) │ │ │ ├── 1.1.1.2 Session Fixation (if flatuikit handles session IDs improperly) │ │ │ └── 1.1.1.3 Improper Session Invalidation on Logout (if flatuikit has custom logout logic) │ │ ├── 1.1.2 Account Takeover via Registration/Password Reset (flaws in flatuikit's implementation) [HR] │ │ │ ├── 1.1.2.1 Weak Password Reset Token Generation (if flatuikit generates tokens) [CRITICAL] │ │ │ ├── 1.1.2.2 Lack of Rate Limiting on Password Reset Attempts [HR] │ │ │ ├── 1.1.2.3 Improper Email Validation during Registration (leading to account creation with attacker-controlled email) [HR] │ │ │ └── 1.1.2.4 Insecure storage of the password reset token. │ │ └── 1.1.3 Brute-Force/Credential Stuffing (if flatuikit doesn't enforce rate limiting on login attempts) [HR] │ └── 1.2 Exploit Vulnerabilities in Underlying Libraries (e.g., WTForms, Flask, SQLAlchemy) Used by flatuikit │ └── 1.2.2 Flask Vulnerability (e.g., a session handling issue that flatuikit's usage pattern exacerbates) [HR] │ ├── 2. Escalate Privileges via flatuikit's RBAC [CRITICAL] │ ├── 2.1 Bypass Role Checks (if flatuikit's RBAC implementation has flaws) [CRITICAL] │ │ ├── 2.1.1 Incorrect Role Assignment Logic [HR] │ │ ├── 2.1.2 Missing Role Checks on Specific Endpoints (protected by flatuikit) [HR] │ │ └── 2.1.3 Tampering with Role Identifiers (if flatuikit exposes role IDs in a way that can be manipulated) [HR] │ └── 2.2 Exploit flatuikit's Custom Authorization Logic (if it extends or overrides standard Flask/SQLAlchemy authorization) │ ├── 2.2.1 Flawed Permission Checks [HR] │ └── 2.2.2 Insecure Direct Object References (IDOR) within flatuikit-managed resources [HR] │ ├── 3. Exploit flatuikit's AJAX Helpers │ ├── 3.1 Cross-Site Request Forgery (CSRF) on flatuikit-provided AJAX endpoints │ │ └── 3.1.1 Missing or Incorrect CSRF Token Validation (specifically within flatuikit's AJAX handling) [HR] │ └── 3.2 Inject Malicious Data via AJAX (if flatuikit doesn't properly sanitize AJAX inputs) │ └── 3.2.2 SQL Injection via AJAX Parameters (if flatuikit uses AJAX data in database queries without proper sanitization) [HR] │ └── 4. Exploit flatuikit dependencies [HR] ├── 4.1 Find vulnerability in one of the dependencies [CRITICAL] └── 4.2 Exploit vulnerability to gain access [CRITICAL]

  • Description: This is the overarching branch focused on gaining unauthorized access by compromising the authentication process. It's high-risk because authentication is the primary gatekeeper to the application.
  • Description: This branch targets vulnerabilities specifically within flatuikit's authentication-related code or its configuration.
    • Likelihood: Medium - flatuikit likely relies on established libraries like Flask-Login, but custom extensions or misconfigurations could introduce vulnerabilities.
    • Impact: High - Successful exploitation leads to account takeover.
    • Effort: Medium to High - Requires understanding of flatuikit's authentication flow and potentially reverse-engineering custom code.
    • Skill Level: Intermediate to Advanced
    • Detection Difficulty: Medium - Failed login attempts might be logged, but sophisticated attacks could be stealthy.
  • Description: This involves circumventing the login process entirely, potentially by exploiting weaknesses in how flatuikit (or the application using it) manages sessions. * Likelihood: Low - Relies on significant flaws in session handling, which are less common in well-established libraries. * Impact: Very High - Direct access without credentials. * Effort: High - Requires in-depth knowledge of session management and potential vulnerabilities. * Skill Level: Advanced * Detection Difficulty: Hard - Successful bypass may not leave obvious traces in logs. * Sub-Vectors: * 1.1.1.1 Predictable Session Tokens: If flatuikit generates session tokens in a predictable way, an attacker could forge a valid token. * 1.1.1.2 Session Fixation: If flatuikit doesn't properly handle session IDs during login, an attacker might be able to trick a user into using a known session ID. * 1.1.1.3 Improper Session Invalidation: If flatuikit fails to properly invalidate sessions on logout, an attacker could hijack a previously used session.
  • Description: Exploiting vulnerabilities in the registration or password reset processes to gain control of existing user accounts. * Likelihood: Medium - These are common attack vectors, and implementation errors are possible. * Impact: High - Allows control of a user account. * Effort: Medium - Techniques are well-known, but defenses may be in place. * Skill Level: Intermediate * Detection Difficulty: Medium - Failed attempts might be logged, but successful attacks can be disguised. * Sub-Vectors: * 1.1.2.1 Weak Password Reset Token Generation [CRITICAL]: If reset tokens are easily guessable or predictable, an attacker can take over accounts. * 1.1.2.2 Lack of Rate Limiting on Password Reset Attempts [HR]: Allows attackers to try many tokens quickly. * 1.1.2.3 Improper Email Validation during Registration [HR]: Allows creation of accounts with attacker-controlled email addresses, facilitating password resets. * 1.1.2.4 Insecure storage of the password reset token: If the token is stored insecurely, it can be stolen and used by an attacker.
  • Description: Trying many username/password combinations (brute-force) or using credentials leaked from other breaches (credential stuffing). * Likelihood: Medium to High - Depends on password policies and rate limiting. * Impact: High - Account takeover. * Effort: Low to Medium - Automated tools are readily available. * Skill Level: Novice to Intermediate * Detection Difficulty: Medium to Easy - Should be detectable through failed login attempt monitoring.
  • Description: Leveraging known or zero-day vulnerabilities in libraries that flatuikit depends on (e.g., Flask, WTForms, SQLAlchemy).
  • Description: A vulnerability in the Flask framework itself, which flatuikit is built upon. * Likelihood: Low - Flask is widely used and heavily scrutinized. * Impact: High to Very High - Could range from information disclosure to remote code execution. * Effort: Medium to High - Depends on the specific vulnerability. * Skill Level: Intermediate to Expert * Detection Difficulty: Medium - Depends on the vulnerability and available security monitoring.
  • Description: Once an attacker has some level of access (even a low-privileged account), they might try to exploit flaws in flatuikit's role-based access control to gain higher privileges.
  • Likelihood: Medium - RBAC implementations can be complex and prone to errors.
  • Impact: Very High - Could lead to full administrative control.
  • Effort: Medium to High - Requires understanding the RBAC system and identifying flaws.
  • Skill Level: Intermediate to Advanced
  • Detection Difficulty: Medium to Hard - Might involve legitimate-looking actions, but with unauthorized targets.
  • Description: Finding ways to access functionality or data that should be restricted based on the user's role. * Likelihood: Medium - Depends on the thoroughness of the RBAC implementation. * Impact: Very High - Direct access to restricted resources. * Effort: Medium to High - Requires analyzing the application's authorization logic. * Skill Level: Intermediate to Advanced * Detection Difficulty: Hard - May appear as legitimate user activity if not carefully monitored. * Sub-Vectors: * 2.1.1 Incorrect Role Assignment Logic [HR]: Flaws in how roles are assigned to users, allowing an attacker to gain a higher-privileged role than intended. * 2.1.2 Missing Role Checks on Specific Endpoints [HR]: A developer forgets to apply the necessary role checks to a particular URL or function. * 2.1.3 Tampering with Role Identifiers [HR]: If role IDs are exposed (e.g., in cookies or URL parameters), an attacker might be able to modify them to gain higher privileges.
  • Description: If flatuikit implements any custom authorization logic beyond basic role checks, this logic could be vulnerable. * 2.2.1 Flawed Permission Checks [HR]: Errors in the logic that determines whether a user has permission to perform a specific action. * 2.2.2 Insecure Direct Object References (IDOR) within flatuikit-managed resources [HR]: If flatuikit exposes internal object identifiers, an attacker might be able to manipulate them to access resources they shouldn't have access to.
  • 3.1 Cross-Site Request Forgery (CSRF) on flatuikit-provided AJAX endpoints * Description: Tricking a user's browser into making unintended requests to the application, leveraging the user's authenticated session.
  • Likelihood: Medium - If flatuikit provides AJAX helpers but doesn't properly implement CSRF protection, this is a high risk. * Impact: High - Could allow an attacker to perform actions on behalf of the user, potentially including administrative actions. * Effort: Low to Medium - Standard CSRF exploitation techniques. * Skill Level: Intermediate * Detection Difficulty: Medium - Requires analyzing HTTP requests for missing or invalid CSRF tokens.
  • Description: Exploiting vulnerabilities in how flatuikit handles data received via AJAX requests.
  • Description: If flatuikit uses AJAX parameters directly in SQL queries without proper sanitization or parameterization, an attacker could inject malicious SQL code. * Likelihood: Low to Medium - flatuikit likely uses SQLAlchemy, which helps prevent SQL injection, but improper usage could still introduce vulnerabilities. * Impact: Very High - Could allow an attacker to read, modify, or delete data in the database, or even execute arbitrary commands on the database server. * Effort: Medium - Requires finding an AJAX endpoint that is vulnerable to SQL injection. * Skill Level: Intermediate to Advanced * Detection Difficulty: Medium - SQL injection attempts might be detected by intrusion detection systems or database monitoring tools.
  • Description: flatuikit depends on other packages. If any of these packages have vulnerabilities, they can be exploited.
  • Description: Finding a known or unknown vulnerability in one of the dependencies. * Likelihood: Medium - New vulnerabilities are discovered regularly. * Impact: High to Very High - Depends on the vulnerability. * Effort: Low to Very High - Depends on whether it's a known or zero-day vulnerability. * Skill Level: Variable - From Novice to Expert. * Detection Difficulty: Variable - Depends on the vulnerability.
  • Description: Using the found vulnerability to gain unauthorized access. * Likelihood: High - If a vulnerability exists, it's likely exploitable. * Impact: High to Very High - Depends on the vulnerability. * Effort: Low to Medium - If a public exploit exists, the effort is low. * Skill Level: Variable - Depends on the exploit. * Detection Difficulty: Medium to Hard - Depends on the vulnerability and logging/monitoring.