WP What is Threat Modeling | Guide to Security Risk Management | Imperva

Threat Modeling

1.4k views
Cybersecurity Solutions and Tools

What Is Threat Modeling?

Threat modeling is a structured approach that helps organizations understand, manage, and mitigate potential security threats. It involves identifying potential threats, assessing their possible impact, and developing strategies to mitigate them. This approach is not just about identifying threats but also understanding the overall security posture of an organization.

The process of threat modeling begins by identifying the assets that require protection, understanding their vulnerabilities, and then identifying the potential threats to these assets. Once the threats are identified, we assess the risk associated with each threat and then develop strategies to mitigate these risks. The goal of threat modeling is to ensure that an organization is fully prepared to deal with any potential threats before they occur.

This is part of a series of articles about application security

Benefits of Threat Modeling

Proactive Risk Management

Instead of reacting to threats after they have occurred, threat modeling enables organizations to anticipate potential threats and develop strategies to mitigate them in advance. This proactive approach reduces the potential damage that these threats can cause and ensures that an organization is better prepared to deal with any security issues that may arise.

Proactive risk management also helps organizations to prioritize their resources effectively. By understanding the potential threats and their associated risks, organizations can allocate their resources where they are most needed. This ensures that the highest risk areas are addressed first, reducing the potential impact of any security breaches.

Improved Security Posture

By identifying potential threats and vulnerabilities, organizations can take steps to strengthen their security and reduce the likelihood of a successful attack.

Threat modeling also helps organizations to understand their security posture better. By examining the potential threats and vulnerabilities, organizations can gain a better understanding of where their security strengths and weaknesses lie. This knowledge can then be used to improve their security policies and procedures.

Enhanced Communication and Understanding among Teams

By involving all stakeholders in the threat modeling process, everyone gains a better understanding of the potential threats and the measures being taken to mitigate them. This shared understanding leads to better collaboration and teamwork, ensuring that all parts of the organization are working together to improve security.

The Threat Modeling Process

Here are general steps involved in performing threat modeling for an organization:

  1. Define objectives: The objectives will guide the rest of the process and ensure that all efforts are aligned with the organization’s overall security strategy.
  2. Create a system overview: This involves creating a detailed description of the protected environment, including its components, their interactions, and their dependencies. This overview will help to identify potential vulnerabilities and threats.
  3. Identify and rank assets: Assets are anything that could be of value to a potential attacker, such as sensitive data, hardware, or software. These assets are then ranked based on their value and the potential impact of their loss.
  4. Identify potential threats: This involves considering all possible avenues an attacker might take to compromise the system. These threats are then evaluated based on their likelihood and the potential impact they could have.
  5. Determine vulnerabilities: Vulnerabilities are weaknesses in a system that could be exploited by an attacker. These vulnerabilities are then evaluated based on their severity and the potential impact of their exploitation.
  6. Develop and apply countermeasures: The final step in the threat modeling process is to develop countermeasures—strategies or actions that are taken to mitigate the potential threats and vulnerabilities that have been identified.

Examples of Common Threat Modeling Methodologies

Here are several threat modeling frameworks commonly used by organizations.

1. STRIDE

STRIDE is a threat modeling methodology developed by Microsoft. It stands for Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege. Each of these represents a different type of threat that might affect a system or application. STRIDE helps identify potential threats and vulnerabilities in a system by focusing on these six categories. It’s often used in the early stages of system design or application development to anticipate potential threats and design effective security measures.

2. PASTA

PASTA, or Process for Attack Simulation and Threat Analysis, is a risk-centric threat modeling methodology. It involves seven stages: defining objectives, defining the technical scope, application decomposition, threat identification, vulnerability analysis, attack simulation, and risk analysis. PASTA enables a comprehensive analysis of potential threats and their potential impact on a system. It’s especially useful when you need to understand the overall risk landscape of your system or application.

3. TRIKE

TRIKE is a threat modeling methodology that focuses on data flow and stakeholder assets. It’s a risk-based methodology that helps you understand the potential threats to your system’s most important assets. TRIKE involves creating a data flow diagram, identifying assets and stakeholders, defining actions, and determining potential threats. It’s well-suited for organizations that need to protect sensitive data and prioritize their security efforts based on risk.

4. FIXED

FIXED is a threat modeling methodology that focuses on fixed assets within a system or application. FIXED stands for Functionality, Information, eXternal entities, Data flow, and Entry points. It involves identifying these five elements in your system or application and analyzing potential threats to each. FIXED is particularly useful for systems or applications with a large number of fixed assets, such as databases or servers.

5. CVSS

CVSS, or Common Vulnerability Scoring System, is a threat modeling methodology that provides a way to capture the principal characteristics of a vulnerability and produce a numerical score reflecting its severity. The numerical score can then be translated into a qualitative representation (such as low, medium, high, and critical) to help identify the severity and potential impact of a vulnerability on a system.

Related content: Read our guide to web application security

Threat Modeling Best Practices

The following best practices can help you get the most out of your threat modeling efforts.

Involve a Multidisciplinary Team

Threat modeling should not be a solo endeavor. It requires the involvement of a multidisciplinary team that includes security experts, software developers, system architects, and business stakeholders. Having a diverse team helps ensure a holistic understanding of the system, its vulnerabilities, and the potential impact of threats on the business.

Use Data Flow Diagrams (DFDs)

Data Flow Diagrams (DFDs) are a useful tool in threat modeling. They provide a visual representation of how data moves through a system, highlighting potential points of vulnerability. Using DFDs in threat modeling can help you better understand your system’s data flow and identify potential security risks.

Use Updated Threat Intelligence

The threat landscape is constantly evolving, with new threats and vulnerabilities emerging regularly. It’s crucial to stay updated with the latest threat intelligence and incorporate this knowledge into your threat modeling efforts. Threat intelligence feeds can provide the latest information about threat vectors and tactics, techniques and procedures (TTPs).

Integrate with the Software Development Life Cycle

In organizations that develop software or hardware systems, threat modeling should be an integral part of the software development life cycle (SDLC). By integrating threat modeling into the SDLC, you can identify and address potential security threats early in the development process, reducing the risk of security incidents down the line.

Leverage Automated Threat Modeling Tools

Automated threat modeling tools can help streamline the threat modeling process. These tools can automatically generate threat models, identify potential threats, and prioritize them based on risk. Leveraging automated threat modeling tools can save time and resources, making your threat modeling efforts more efficient and effective.

Application Security with Imperva

Imperva provides comprehensive cybersecurity protection for applications, APIs, and microservices:

Web Application Firewall – Prevent attacks with world-class analysis of web traffic to your applications.

Runtime Application Self-Protection (RASP) – Real-time attack detection and prevention from your application runtime environment goes wherever your applications go. Stop external attacks and injections and reduce your vulnerability backlog.

API Security – Automated API protection ensures your API endpoints are protected as they are published, shielding your applications from exploitation.

Advanced Bot Protection – Prevent business logic attacks from all access points – websites, mobile apps and APIs. Gain seamless visibility and control over bot traffic to stop online fraud through account takeover or competitive price scraping.

DDoS Protection – Blocks attack traffic at the edge to ensure business continuity with guaranteed uptime and no performance impact. Secure your on premises or cloud-based assets – whether you’re hosted in AWS, Microsoft Azure, or Google Public Cloud.

Attack Analytics – Ensures complete visibility with machine learning and domain expertise across the application security stack to reveal patterns in the noise and detect application attacks, enabling you to isolate and prevent attack campaigns.

Client-Side Protection – Gain visibility and control over third-party JavaScript code to reduce the risk of supply chain fraud, prevent data breaches, and client-side attacks.