What is Dynamic Application Security Testing (DAST)?
Dynamic Application Security Testing (DAST) is an Application Security Testing methodology in which the application is tested in operating mode, from the outside-in. As DAST tools don’t have access to the application and API’s source code, they detect vulnerabilities by performing actual attacks, similar to a real hacker. In a sense, DAST tools perform automated penetration testing of your web applications.
DAST solutions can detect and help protect against web application vulnerabilities, such as the OWASP Top 10. Common flaws include SQL injection, cross site scripting (XSS), external XML entities (XXE), and cross-site request forgery (CSRF). DAST can simulate these attacks and see if the application is vulnerable. While it is possible to scan source code to find vulnerabilities, the most effective method to protect an application is to determine if an external attacker can exploit them at runtime, when the full application is running with all its components.
The best way to utilize a DAST tool is to integrate it into the software development lifecycle (SDLC). This allows you to shift security left – test applications as they evolve, and detect and remediate security risks before they become serious risks. Modern DAST solutions integrate into the CI/CD pipeline, allowing developers to run scans and remediate issues as early as possible in the development process.
In this article, you will learn:
- What is the Role of DAST in Application Security (AppSec)?
- Why Do You Need a DAST Tool?
- How Does DAST Work?
- Integrating DAST into the SDLC
- DAST Best Practices
- NeuraLegion’s Next-Gen DAST Solution
What is the Role of DAST in Application Security (AppSec)?
Application security testing (AST) tools automate the process of testing, analyzing, and reporting security vulnerabilities. AST tools are an integral part of the DevSecOps movement, which aims to shift security left and add security scans to each stage of the software development lifecycle (SDLC).
AST tools are typically categorized into four main types:
- Static application security testing (SAST) – provides white-box testing which analyzes the source code while its components are at rest.
- Dynamic application security testing (DAST) – provides black-box tests that models how applications are attacked from the outside.
- Interactive application security testing (IAST) – provides instrumentation of the application code. The goal is to detect and report issues during runtime.
- Software composition analysis (SCA) – scans the code and analyzes open source software components, looking for vulnerabilities and checking license compliance.
DAST vs. SAST
DAST solutions have unique advantages when protecting web applications:
- A downside of SAST solutions is that they have to support the programming language and application framework in use by the application.
- In DAST, only issues that represent a real risk are reported. With SAST it can be challenging to determine if a finding represents a real risk or not.
- Modern DAST can be used as early as the build phase of the SDLC. You can simulate attacker behavior without lengthy pen-testing. SAST takes place earlier in the SDLC, but can only find issues in the code, not the full application.
- DAST detects risks that occur due to complex interplay of modern frameworks, microservices, APIs, etc. SAST solutions are limited to code scanning.
- In comparison to SAST, DAST is less likely to report false positives.
Unlike SAST tools, Dynamic analysis tools are language agnostic. They don’t need to have the same programming language or framework as the application you scan.
Dynamic application security testing solutions, like a real hacker, don’t have access to source code. Using them has more real-world benefits.
Why Do You Need a DAST Tool?
While ransomware exploits fill the headlines, neglecting web application attacks poses a high risk, and organizations are more exposed than ever. This is a result of more organizations shifting to modern web -services architectures and a broader adoption of APIs.
Web application attacks pose a major threat to any organization, regardless of size or type. Take SQLi or XSS for example; a malicious user can use such attacks to steal session cookies, user credentials, and other sensitive information. This can result in significant financial or reputational damage.
A Significant Increase in Attacks at the Application and API Layer
Attackers are launching more and more attacks at the application and API layer. Organizations that don’t utilize any form of application security testing are unable to identify these attacks until they occur and will find themselves unprepared and could experience significant damage.
To prevent compromise of critical web applications and attackers from stealing sensitive data from your systems, you need to find and remediate these vulnerabilities before they hit production. This is where dynamic application security testing tools shine. They test the same interfaces that attackers would use to break into a public service.
DAST is Capable of Finding Issues in a Microservices Architecture
Dynamic security analysis is capable of finding issues and attacks other testing methodologies miss. This is especially true if your applications rely on a microservices architecture.
While SAST tools are great at code scanning, they can’t identify how each microservice is interacting with others. SAST tools are also limited by the environments they can scan due to their language dependency, and have a high ratio of false positives.
DAST solutions overcome these limitations by testing the applications from the outside, in a production-like environment, ‘seeing’ how each microservice interacts with users and other components. This can be done from the pull request level all the way through the staging environment.
How Does DAST Work?
Traditional DAST Tools
DAST tools launch automated scans simulating malicious external attacks on the application. The goal is to identify unexpected outcomes. For example, a test can inject malicious data to uncover injection flaws. A DAST tool typically tests all HTML and HTTP access points. To find vulnerabilities, the test emulates random user behaviors and actions.
DAST tools do not have access to the source code. To detect security vulnerabilities, the tool attacks the application externally. Since DAST tools do not assess the code, the test does not point to specific vulnerable code components.
Traditional DAST technology requires the close supervision of security experts, who often need to write the tests or fine-tune the solution. To do this, experts need a solid understanding of the application being tested, and expert knowledge of application servers, databases, web servers, application traffic flow, and access control lists.
DAST tools are also limited compared to penetration testing – DAST tools offer systematic testing, which is focused on the application during runtime. Penetration testing involves the use of common hacking techniques for the purpose of deliberately exploiting vulnerabilities. Pentests go beyond the application, testing firewalls, routers, servers, and ports.
Next-Generation DAST Tools
A new generation of DAST solutions is emerging, which leverages AI to address many of the shortcomings of traditional DAST:
- No need for manual tuning – next-generation DAST automatically creates test sets and dynamically identifies the structure of the underlying application.
- No false positives – leverages machine learning algorithms and fuzz testing to analyze findings like a human penetration tester, and determine if they are real vulnerabilities or not.
- Detects business logic vulnerabilities – accesses web applications like a real user and tries different control flows, until it discovers a user interface path that exposes a security weakness.
- Detects zero day vulnerabilities – while traditional DAST can only detect known vulnerabilities from manually updated lists, next generation DAST leverages AI detection capabilities and real time data from other users of the platform to detect zero day attacks.
- Advanced reporting – provides reports and compliance audits on par with those created by a human tester.
Integrating DAST into the SDLC
DAST has been around since the mid-90s, but until recently struggled to find its place in the SDLC.
DevOps brought the change. Today, dynamic analysis tools can be easily integrated with popular issue trackers such as JIRA, GitHub, ServiceNow, and Slack. Like any other type of automated AST solutions, DAST solutions can be integrated with CI platforms such as Jenkins, CircleCI, TravisCI, JFrog Pipelines or Azure DevOps.
Organizations want to implement application security testing into the SDLC because the sooner a security issue is detected, the cheaper it is to fix.
How DAST Tools Enhance Web Application Security
By using dynamic analysis to identify vulnerabilities earlier in the SDLC, organizations can reduce risk while saving resources. It is a major concern for security people to have as few false-positive results as possible to focus on real threats. It takes on average 38 days to fix a vulnerability. If the vulnerability was not a real threat, those are 38 costly days of needless delay.
Organizations can use DAST to assist with PCI compliance and other regulatory reporting.
In addition to streamlining compliance, a dynamic analysis solution can help developers spot configuration mistakes or issues, but also highlight specific user experience problems.
DAST Best Practices
Enable Effective Collaboration with DevOps
DAST tools can help not only discover and prioritize vulnerabilities, but also effectively hand them over to DevOps teams to ensure they are addressed correctly. To facilitate this, integrate the DAST tool with ticketing and bug tracking systems used by the DevOps team. Create tickets or issues with the precise information developers need to quickly fix vulnerabilities. This will help them prioritize security issues, and promote a DevSecOps mindset in your organization.
Adopt Defensive Coding Practices
DAST is more effective when the underlying application is built with security in mind. Defensive programming encourages developers to consider how attackers might exploit vulnerabilities and misconfigurations and then design preventive measures into the application while building it.
Developers do not need formal security training to write secure code. It only requires some basic precautions to ensure that the code they write does not contain commonly exploited misconfigurations and vulnerabilities.
Use DAST as Early in the SDLC as Possible
The earlier you integrate DAST into SDLC, the higher your returns will be. In general, early testing is ideal because it can detect vulnerabilities before they hit production, for remediation to be carried out earlier, making the fixes easier and cheaper.
Integrate DAST with Your CI/CD Pipeline
You can run DAST at every stage of the CI/CD pipeline – early development, testing, staging, and production deployment. At every stage, DAST solutions will provide useful recommendations and reveal vulnerabilities. Identifying these vulnerabilities and fixing them immediately as they are introduced to the pipeline, can dramatically improve security and save time.
NeuraLegion’s Next-Gen DAST Solution
Unlike other DAST solutions, Nexploit was built from the ground up with developers in mind. It lets developers automatically test their applications and APIs for vulnerabilities with every build.
Nexploit tests every aspect of your apps. It enables you to scan any target, including web applications, internal applications, APIs (REST/SOAP/GraphQL), websockets, and serverside mobile applications. It seamlessly integrates with the tools and workflows you already use, automatically triggering scans on every commit, pull request or build with unit testing. Scans are blazing fast, enabling Nexploitto work in a high velocity development environment.
Instead of just crawling applications and guessing, Nexploitinteracts intelligently with applications and APIs. Our AI-powered engine understands application architecture and generates sophisticated and targeted attacks. By first verifying and exploiting the findings, we make sure we don’t report any false positives.