### STRIDE Methodology: A Comprehensive Breakdown

The STRIDE methodology is a threat modeling framework developed by Microsoft to help identify and mitigate security threats in software systems. It categorizes threats into six distinct types: Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege. Below, we delve into each category with concrete examples relevant to web applications and suggested mitigation strategies.

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#### 1. **Spoofing**
Spoofing refers to impersonating another entity, such as a user or process, to gain unauthorized access to a system. In web applications, spoofing often manifests as identity spoofing or authentication bypass.

– **Example**: An attacker uses stolen credentials or exploits a weak authentication mechanism to log in as another user.
– **Mitigation**: Implement multi-factor authentication (MFA), secure password policies, and robust session management to prevent unauthorized access.

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#### 2. **Tampering**
Tampering involves modifying data or system components to manipulate how the system functions. In web applications, this threat is often seen in parameter manipulation or data injection.

– **Example**: An attacker alters query parameters in a URL (e.g., changing `price=50` to `price=1`) to manipulate application behavior.
– **Mitigation**: Use server-side validation, cryptographic hashing for data integrity, and secure transport protocols like HTTPS.

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#### 3. **Repudiation**
Repudiation occurs when an attacker performs an action and later denies it, exploiting inadequate logging or auditing mechanisms.

– **Example**: A user deletes sensitive logs or alters audit trails to hide malicious activities.
– **Mitigation**: Implement tamper-proof logging mechanisms and ensure logs are securely stored and timestamped. Use tools to detect and alert on log modifications.

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#### 4. **Information Disclosure**
This threat involves exposing sensitive information to unauthorized parties. It can occur due to poorly secured systems, verbose error messages, or data leaks.

– **Example**: A web application exposes full database stack traces in error messages, leaking sensitive information like database schema or credentials.
– **Mitigation**: Avoid verbose error messages, implement data encryption at rest and in transit, and use role-based access controls to restrict data visibility.

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#### 5. **Denial of Service (DoS)**
Denial of Service involves exhausting system resources, rendering the application unavailable for legitimate users.

– **Example**: An attacker sends an overwhelming number of HTTP requests to the server, causing legitimate requests to time out.
– **Mitigation**: Implement rate limiting, CAPTCHAs, and distributed denial-of-service (DDoS) protection techniques such as traffic filtering and load balancing.

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#### 6. **Elevation of Privilege**
This occurs when an attacker gains higher-level permissions than they are authorized for, often through exploiting poorly implemented access controls.

– **Example**: A user modifies their own user ID in a request to access another user’s data (Insecure Direct Object Reference, or IDOR).
– **Mitigation**: Enforce strict role-based access control (RBAC) and validate user permissions for every request on the server side.

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### Summary Table (HTML)

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The STRIDE framework provides a systematic approach to identifying and addressing security threats. By understanding these categories and implementing appropriate mitigations, developers can build more secure web applications.

Threat Modeling: DREAD Risk Scoring and Attack Trees

DREAD Risk Scoring

DREAD is a risk assessment model used to evaluate and prioritize threats based on five factors:

• Damage: Measures the potential impact of the threat. How severe is the harm if exploited?
• Reproducibility: Determines how easily the threat can be replicated. Can an attacker consistently exploit the same vulnerability?
• Exploitability: Evaluates the difficulty of exploiting the threat. Does the attacker require special tools, skills, or circumstances?
• Affected Users: Assesses the number of users impacted. Is it a handful of users or the entire system?
• Discoverability: Rates how easy it is to find the vulnerability. Can it be detected with automated tools or is manual inspection required?

Each factor is scored on a scale (commonly 0–10), and the scores are summed to determine the overall severity of a threat. Higher scores indicate greater risk. Let’s use DREAD to evaluate an SQL injection vulnerability:

With a total score of 38, this SQL injection vulnerability is high-risk and should be prioritized for mitigation. Use DREAD scores to compare threats and address the highest risks first.

Attack Trees & Data Flow Diagrams

Attack trees are a visual representation of the paths an attacker can take to achieve a specific goal. Each node in the tree represents an attack step, and branches represent decision points or alternate paths. By analyzing attack trees, security teams can identify potential vulnerabilities and implement mitigations. For example:

    Goal: Steal User Credentials
    ├── Phishing
    │   ├── Craft fake login page
    │   ├── Send phishing email
    ├── Brute Force Attack
    │   ├── Identify username
    │   ├── Attempt password guesses
    ├── Exploit Vulnerability
        ├── SQL injection
        ├── Session hijacking
    

Each branch represents a different method for achieving the same goal, helping teams focus their defenses on the most likely or impactful attack paths.

Data Flow Diagrams (DFDs) complement attack trees by illustrating how data flows through a system. They show the interactions between system components, external actors, and data stores. DFDs also highlight trust boundaries, which are the points where data crosses from one trust level to another (e.g., from a trusted internal network to an untrusted external user). These boundaries are critical areas to secure.

By combining attack trees and DFDs, organizations gain a comprehensive understanding of their threat landscape and can better protect their systems from potential attacks.

Practical Example: Threat Modeling a REST API

When building a REST API, it’s important to identify potential threats and implement appropriate mitigations. Let’s walk through threat modeling for an API with the following features:

• User authentication using JSON Web Tokens (JWT)
• CRUD operations on user data
• A file upload endpoint
• An admin dashboard

User Authentication (JWT)

Threats:

• Token tampering: If an attacker modifies the JWT and the server does not validate it properly, they may gain unauthorized access.
• Token replay: An attacker could reuse a stolen token to impersonate a user.

Mitigations:

• Use a strong secret key and sign tokens with a secure algorithm like HS256.
• Implement token expiration and require reauthentication after expiration.
• Use middleware to validate the token on every request.

// JWT validation middleware (Node.js)
const jwt = require('jsonwebtoken');

function validateJWT(req, res, next) {
  const token = req.headers['authorization']?.split(' ')[1]; // Extract token from header
  if (!token) return res.status(401).send('Access Denied');

  try {
    const verifiedUser = jwt.verify(token, process.env.JWT_SECRET); // Verify token
    req.user = verifiedUser; // Attach user to request
    next();
  } catch (err) {
    res.status(400).send('Invalid Token');
  }
}

module.exports = validateJWT;

CRUD Operations on User Data

Threats:

• SQL Injection: An attacker could inject malicious SQL into a query.
• Unauthorized access: Users may attempt to modify data they do not own.

Mitigations:

• Always use parameterized queries to prevent SQL injection.
• Enforce user permissions by verifying ownership of the data being accessed or modified.

# Parameterized SQL query (Python)
import sqlite3

def update_user_data(user_id, new_email):
    connection = sqlite3.connect('database.db')
    cursor = connection.cursor()
    
    # Using parameterized query to prevent SQL injection
    query = "UPDATE users SET email = ? WHERE id = ?"
    cursor.execute(query, (new_email, user_id))
    
    connection.commit()
    connection.close()

File Upload Endpoint

Threats:

• Malicious file uploads: Attackers could upload harmful files (e.g., scripts).
• Storage abuse: An attacker could upload large files to exhaust server resources.

Mitigations:

• Validate file types and sizes, and store files outside of publicly accessible directories.
• Implement rate limiting to prevent excessive uploads.

// Input validation function for file uploads
const multer = require('multer');

const fileFilter = (req, file, cb) => {
  const allowedTypes = ['image/jpeg', 'image/png'];
  if (!allowedTypes.includes(file.mimetype)) {
    return cb(new Error('Invalid file type'), false);
  }
  cb(null, true);
};

const upload = multer({
  dest: 'uploads/',
  limits: { fileSize: 5 * 1024 * 1024 }, // Limit file size to 5MB
  fileFilter,
});

module.exports = upload;

Admin Dashboard

Threats:

• Privilege escalation: A regular user might access admin endpoints by exploiting misconfigured permissions.
• API abuse: Admin endpoints could be targeted for brute force attacks or excessive requests.

Mitigations:

• Implement role-based access control (RBAC) to restrict access to admin endpoints.
• Enforce rate limiting to prevent abuse.

// Rate limiting implementation (Node.js with express-rate-limit)
const rateLimit = require('express-rate-limit');

const adminRateLimiter = rateLimit({
  windowMs: 15 * 60 * 1000, // 15 minutes
  max: 100, // Limit each IP to 100 requests per window
  message: 'Too many requests from this IP, please try again later.',
});

module.exports = adminRateLimiter;

By addressing these threats and implementing mitigations, you can significantly improve the security of your REST API. Always test your endpoints for vulnerabilities and keep dependencies up to date.

Threat Modeling: Tools, Common Mistakes, and FAQ

Tools

• Microsoft Threat Modeling Tool: A free tool based on the STRIDE framework, designed to help teams identify and mitigate threats during the design phase of a project.
• OWASP Threat Dragon: An open-source, web-based tool for creating threat models with an emphasis on ease of use and collaboration within teams.
• draw.io/diagrams.net: A versatile diagramming tool commonly used to create Data Flow Diagrams (DFDs), which are a foundation for many threat modeling approaches.
• IriusRisk: An enterprise-grade tool that automates aspects of threat modeling, integrates with existing workflows, and assists in risk assessment and mitigation.
• Threagile: A code-based, “as-code” threat modeling framework that integrates directly into development pipelines, enabling automated and repeatable modeling processes.

Common Mistakes

1. Only doing it once instead of continuously: Threat modeling should be an ongoing process, revisited regularly as the system evolves.
2. Being too abstract or not specific enough: Overly generic threat models fail to address real risks to your specific system.
3. Ignoring third-party dependencies: External libraries, APIs, and platforms often introduce vulnerabilities that need to be addressed.
4. Not involving the whole team: Threat modeling should include input from developers, security experts, product managers, and other stakeholders to ensure complete coverage.
5. Focusing only on external threats: Internal threats, such as misconfigurations or insider risks, are often overlooked but can be just as damaging.
6. Skipping the prioritization step: Without prioritizing threats based on impact and likelihood, teams may waste resources addressing lower-risk issues.

FAQ

What is threat modeling?

It’s a structured approach to identifying, assessing, and mitigating security threats in a system.

When should I start threat modeling?

Ideally, during the design phase of your project, but it can be implemented at any stage.

How often should threat modeling be done?

Continuously, especially when significant changes are made to the system or new threats emerge.

Do I need specialized tools for threat modeling?

No, although tools can make the process more efficient, you can start with simple diagrams and discussions.

What frameworks are commonly used in threat modeling?

Popular frameworks include STRIDE, PASTA, and LINDDUN, each tailored for specific threat modeling needs.

Conclusion

Threat modeling is a critical practice for building secure systems, enabling teams to proactively identify and mitigate risks. By leveraging tools like Microsoft Threat Modeling Tool, OWASP Threat Dragon, or enterprise solutions like IriusRisk, teams can streamline and enhance their threat modeling efforts. However, the key lies in continuous practice and avoiding common pitfalls such as neglecting third-party dependencies or failing to involve the entire team.

Remember, threat modeling is not a one-time activity but an ongoing process. By asking practical questions, prioritizing threats, and staying vigilant to evolving risks, you can build systems that are resilient against both internal and external threats. Start small, use the right tools, and focus on collaboration to make threat modeling an integral part of your development lifecycle.

📋 Disclosure: Some links in this article are affiliate links. If you purchase through these links, I earn a small commission at no extra cost to you. I only recommend products I have personally used or thoroughly evaluated.