Top 9 DAST Tools for 2025: How to Choose the Right One

Ofer Hakimi
Ofer Hakimi
December 22, 2023
12
min to read

Having spent the last two decades working at the intersection of application development and security, I’ve seen firsthand how difficult it is to protect software without slowing teams down. In earlier years, security testing was often an afterthought, bolted on at the end of the development lifecycle when critical flaws had already reached production. That delay led to costly fixes and exposed organizations to real-world threats.

Those experiences shaped how I view dynamic application security testing. DAST tools changed the game by allowing teams to simulate attacks in real time, uncovering flaws that traditional code reviews and static tools can easily miss. In modern workflows where speed and agility drive delivery, DAST tools are no longer optional. They’re essential for building secure, resilient software from the start.

Key Takeaways

  • DAST tools simulate real-time attacks to uncover vulnerabilities missed by static analysis, making them essential for securing modern applications during runtime.
  • Integrating DAST into CI/CD pipelines enables continuous, automated security testing, reducing the risk of late-stage vulnerability discovery.
  • Pynt performs logic-aware API testing using existing functional tests, enabling early detection of business logic flaws without requiring source code or instrumentation.
  • Pynt’s specialization in API security allows it to detect context-specific vulnerabilities in modern API-first environments that traditional DAST tools often overlook.
  • Future DAST tools will emphasize AI-driven analysis, cloud-native scanning, and deeper API-specific testing to maintain effectiveness in evolving software architectures.

What Are DAST Tools? 

Dynamic application security testing (DAST) tools are security solutions that test applications during the runtime process. They are designed to identify security vulnerabilities while the application is in its active state. Unlike static application security testing (SAST) tools, which review application code to uncover potential threats, DAST tools simulate attacks on an application to identify exploitable vulnerabilities.

These tools play a crucial role in protecting applications from security threats such as cross-site scripting (XSS), SQL injection, and other OWASP Top 10 vulnerabilities. They have become an essential part of the software development life cycle (SDLC) and are widely used in DevSecOps practices. By incorporating DAST tools into the SDLC, businesses can improve application security by detecting and mitigating vulnerabilities before they can be exploited by malicious attackers.

Top DAST Tools in 2025

Dynamic Application Security Testing tools have matured to support everything from classic web apps to complex APIs. The following tools reflect the most relevant DAST solutions available today, selected for their features, usability, and integration potential across modern development workflows:

1. Pynt

Pynt is an API-first DAST tool that analyzes existing functional tests to detect business logic flaws during runtime. Unlike traditional scanners that rely on surface-level input fuzzing, Pynt operates at a deeper contextual level, identifying vulnerabilities that emerge from complex workflows. Its no-instrumentation model makes it developer-friendly and fast to deploy in CI/CD pipelines. Pynt is ideal for modern API-first teams prioritizing automation, shift-left security, and logic-aware coverage.

  • Key Features
    - Performs logic-aware API testing using existing functional test suites
    - Detects business logic flaws that standard DAST tools often miss
    - Delivers runtime coverage without needing access to source code

  • When to Use
    - Ideal for API-first development teams seeking deep context-aware security testing
    - Suitable for catching non-obvious vulnerabilities tied to specific business logic

  • Ease of Integration
    - Connects with CI systems and supports common DevSecOps tools
    -  Seamless CI/CD integration with minimal setup and no instrumentation required
Pynt homepage showing API security features with context-aware, chain-aware testing

2. OWASP ZAP

OWASP ZAP is a widely-used open-source DAST tool developed by the OWASP community. It offers a broad set of features, including automated scanners, manual testing tools, and customizable plugins for in-depth web application analysis. ZAP is particularly useful for penetration testers and security researchers working on traditional web apps. With active community support and regular updates, it remains a go-to tool for low-cost, customizable security testing.

  • Key Features
    - Open-source DAST solution with active scanning, passive scanning, and manual tools
    -  Includes an intercepting proxy, fuzzers, and a plugin-based architecture
    - Regular updates and strong community support

  • When to Use
    - Ideal for small teams or individual testers with technical expertise
    - Suitable for traditional web application security assessments

  • Ease of Integration
    - Command-line tools and REST APIs allow CI integration
    - Manual configuration is needed for authenticated scans or APIs

  • Limitations
    - Limited support for modern frameworks and complex authentication flows
    - May require tuning and scripting to handle edge cases

ZAP by Checkmarx homepage

3. Burp Suite

Burp Suite by PortSwigger is a powerful web security platform used extensively by penetration testers and security teams. Its combination of manual tools and automated scanning capabilities makes it ideal for exploratory testing and custom attack simulations. While best known for its intercepting proxy and request manipulation tools, the Professional and Enterprise editions extend its utility with automated vulnerability discovery. Burp is widely adopted in organizations that require granular control over testing processes.

  • Key Features
    - Widely used for manual and semi-automated web security testing
    - Includes intercepting proxy, scanner, repeater, and intruder tools
    - The Professional edition adds automated vulnerability scanning

  • When to Use
    - Effective for penetration testers and advanced security professionals
    - Useful when custom or exploratory testing is needed

  • Ease of Integration
    - Some CI capabilities via extensions and Burp Enterprise
    - Mostly used for manual or guided testing workflows

  • Limitations
    - Not optimized for fully automated pipelines
    - The full feature set requires a paid license
PortSwigger homepage showing a man using a laptop with Burp Suite security tool interface

4. Nikto

Nikto is a lightweight, open-source web server scanner that focuses on detecting outdated software, insecure files, and server misconfigurations. It is not a full-fledged DAST tool, but it excels in quickly identifying surface-level weaknesses and compliance issues. Due to its simplicity and speed, Nikto is often used as a first-pass scan in server hardening processes. It’s best suited for admins or engineers who need basic security hygiene checks without deep application testing.

  • Key Features
    - An open-source scanner that targets web server configurations and known issues
    - Scans for outdated software, misconfigurations, and insecure files
    - Fast and lightweight

  • When to Use
    - Helpful as a first pass scan in server hardening or compliance workflows
    - Suitable for quickly identifying basic security gaps

  • Ease of Integration
    - Easily runs from the command line or within scripts
    - Limited integration with modern CI tools

  • Limitations
    - Narrow scope focused on server-level issues
    - Not designed for full application or API testing
Nikto 2.5 webpage on CIRT.net describing its open-source web server scanner features

5. Acunetix

Acunetix is a commercial DAST solution designed for comprehensive web application and API scanning. It supports modern technologies like single-page applications (SPAs), with features including deep crawling, automated vulnerability detection, and integrated reporting for compliance. Acunetix is built for scale and is often used in enterprise settings where security automation and regulatory standards are priorities. Its visual dashboards and scan tuning options make it practical for both technical and non-technical users.

  • Key Features
    - Commercial DAST scanner with deep crawling and vulnerability detection
    - Supports modern web technologies and SPAs
    - Offers integrated vulnerability management features

  • When to Use
    - Best for organizations needing scalable scanning with compliance support
    - Useful in enterprise environments with hybrid applications

  • Ease of Integration
    - Works with CI tools like Jenkins, GitLab, and Azure DevOps
    - Includes APIs for automation and reporting

  • Limitations
    - Commercial license required
    - May require tuning to reduce false positives
Acunetix homepage highlighting fast DAST for businesses, with a chart showing reduced vulnerabilities over time

6. Invicti

Invicti, formerly known as Netsparker, is a commercial DAST platform recognized for its automation capabilities and proof-based scanning engine. It automatically verifies vulnerabilities, helping security teams reduce false positives and accelerate remediation. Invicti is especially well-suited for large organizations that require scalable, repeatable security testing across numerous applications. Its comprehensive reporting and audit support also make it a strong fit for compliance-driven environments.

  • Key Features
    - Automatically verifies vulnerabilities to reduce manual work
    - Offers comprehensive reporting for audits and compliance
    - Supports large-scale application testing with centralized management
  • When to Use
    - Useful for teams focused on automating security testing at scale
    - Ideal for organizations with regulatory requirements

  • Ease of Integration
    - Strong CI/CD support and out-of-the-box integrations
    - The Enterprise version includes role-based access and team management

  • Limitations
    - High cost may be a barrier for smaller teams
    - Configuration can be complex for non-technical users
Invicti homepage promoting runtime AppSec with DAST

7. Detectify

Detectify is a cloud-based DAST platform that crowdsources vulnerability research from ethical hackers to power its scanning engine. It offers rapid and continuously updated scans for web applications, focusing on real-world attack vectors and misconfigurations. Detectify is ideal for fast-moving teams and public-facing apps where speed and coverage matter more than deep customization. Its modern interface and API-first integrations support agile workflows with minimal setup overhead.

  • Key Features
    - Cloud-based DAST solution powered by a crowd-sourced security engine
    - Scans for real-world vulnerabilities contributed by ethical hackers
    - Continuously updated test modules

  • When to Use
    - Ideal for agile teams looking for fast and frequent scans
    - Best suited for public-facing web applications

  • Ease of Integration
    - Strong CI integration through APIs and plugins
    - Lightweight setup for most web environments

  • Limitations
    - Focuses on known vulnerability patterns rather than custom logic flaws
    - Less effective for internal or non-standard applications
Detectify homepage promoting reimagined application security testing with DAST,

8. Astra Pentest

Astra Pentest is a hybrid security testing platform that combines automated DAST scans with expert-led manual penetration testing. It includes support for web apps, APIs, and compliance-focused reports, making it accessible to companies with limited in-house security expertise. Astra is positioned for small to mid-sized businesses that want guided remediation without managing separate tools. Its intuitive dashboard and managed services model simplify security testing for growing teams.

  • Key Features
    - Automated and manual DAST scanning in a single platform
    - Includes API testing, scan scheduling, and compliance reporting
    - Offers a clean dashboard with remediation guidance

  • When to Use
    - Good fit for start-ups and mid-size businesses with limited in-house security resources
    - Suitable for teams needing both automation and expert validation

  • Ease of Integration
    - Supports CI tools and cloud-based workflows
    - Web-based dashboard simplifies scan setup and tracking

  • Limitations
    - May not support advanced customization for niche use cases
    - Heavier reliance on vendor support for manual pentest follow-ups
Astra homepage promoting expert-led pentests, PTaaS, API, and cloud vulnerability scanning

9. Intruder

Intruder is a cloud-based DAST and external attack surface management platform designed to help teams identify and prioritize security risks across web apps, APIs, and cloud infrastructure. It continuously scans for known vulnerabilities, misconfigurations, and exposed services, ranking issues based on context and potential impact. With strong CI/CD and cloud provider integrations, Intruder supports agile security practices for fast-moving teams. Its automated workflows and intuitive UI make it especially well-suited for organizations seeking lightweight yet effective security testing.

  • Key Features
    - Continuous DAST scanning with a focus on exposure management
    - Detects web flaws, misconfigurations, and CVEs in real time
    - Prioritizes issues based on context and risk

  • When to Use
    - Ideal for tech teams wanting automated external attack surface monitoring
    - Suitable for fast-moving cloud-native environments

  • Ease of Integration
    - Integrates with AWS, Azure, Slack, Jira, and CI pipelines
    - Includes pre-built policies and automated notifications

  • Limitations
    - Focused more on surface scanning than deep application logic
    - Limited manual testing capabilities
Intruder homepage promoting real-time attack surface discovery

DAST Tools Key Features Comparison

Tool Key Features Use Cases
Pynt Logic-aware API testing using functional tests, detects business logic flaws API-first development, securing API logic early
OWASP ZAP Active and passive scanning, manual testing tools, plugin support Open-source web application testing, security research
Burp Suite Manual testing tools, intercepting proxy, and scanner are available in the Pro version Penetration testing, exploratory security assessments
W3AF 200+ plugins, SQLi and XSS detection, customizable via scripting Legacy app scanning, customizable internal testing
Nikto Web server misconfiguration detection, outdated software checks Surface-level scans, server hardening, and hygiene checks
Acunetix Deep crawling, SPA support, vulnerability management, and compliance features Enterprise-grade scanning, regulatory compliance
Invicti Proof-based scanning, auto-verification, and detailed reporting Large-scale DAST automation, audit, and compliance needs
Detectify Crowd-sourced test modules, real-world vulnerability scanning Frequent scanning of public-facing modern web apps
Astra Pentest Hybrid scanning (manual + automated), dashboard insights, compliance tools Start-ups and mid-size teams needing guided remediation
Intruder Continuous scanning, exposure management, and cloud integrations Cloud-native environments, external attack surface scanning

How to Choose the Right DAST Tool? Features to Look For

Choosing the right DAST tool involves more than checking for basic functionality. The following criteria can help teams assess which solution aligns with their workflows, security goals, and operational maturity.

  • Depth of Reporting: A well-designed DAST tool should generate clear, structured reports that highlight detected issues, risk severity, and recommended next steps. These reports need to be readable by both security professionals and other stakeholders, offering insight into the application’s overall security posture.
  • Accuracy of Scans: Reliable DAST tools detect vulnerabilities without flooding teams with irrelevant or misleading findings. Low false-positive and false-negative rates help teams prioritize effectively and avoid wasting time validating noisy results.
  • User Experience: A cluttered or unintuitive interface can make even the most advanced DAST tool unusable. A good solution should streamline common tasks like launching scans, reviewing results, and integrating into workflows, regardless of a user’s technical background.
  • Integrations: DAST tools should connect easily with existing infrastructure. Compatibility with issue tracking systems, notification platforms, and development tools allows teams to take action on findings without switching contexts or duplicating work.
  • Support for API Security Testing: A modern DAST solution must go beyond traditional web interfaces. It should support scanning of APIs with different authentication methods and provide insight into logic-based API flaws. The tool should simulate realistic attack patterns across endpoints while respecting headers, tokens, and rate limits.
  • CI/CD Pipeline Compatibility: Teams practicing DevSecOps need tools that can be triggered automatically during builds or deployments. A DAST tool that integrates with CI servers enables continuous security testing without manual intervention or workflow disruption.
  • False Positive Handling: The ability to automatically verify or suppress false positives is critical for maintaining trust in scan results. Tools that can distinguish confirmed threats from background noise help security teams act with confidence and speed.

Good to Remember

DAST that only tests post-deployment can miss pre-release vulnerabilities. Look for tools that integrate pre-prod API testing directly into staging pipelines.

How DAST Tools Work

DAST tools examine applications from the outside in. They simulate real-world attacks to uncover security flaws during runtime without requiring access to source code. This black box approach makes DAST especially useful for identifying issues that only appear in deployed environments.

The Black Box Testing Approach

DAST operates by sending requests to a running application and observing how it responds. The tool does not rely on internal code visibility and interacts with the application just as an external user or attacker would. Because it tests runtime behavior, DAST is language-agnostic and compatible with any technology stack exposed through HTTP or similar protocols.

Typical Workflow of a DAST Tool

Most DAST tools follow a structured process to simulate dynamic security testing:

  • Crawling the Application: The tool maps available endpoints, forms, and inputs to understand the exposed surface.
  • Injecting Payloads: Crafted inputs are sent to each entry point to probe for flaws in input handling and response logic.
  • Analyzing Behavior: Server responses are reviewed to detect anomalies, errors, or insecure behaviors that may indicate a flaw.
  • Reporting Findings: Detected issues are compiled into a report with severity levels, reproduction steps, and remediation guidance.
Diagram showing DAST steps: Crawl Targets, Send Payloads, Monitor Responses, Generate Report to simulate attack and detect vulnerabilities.

Common Vulnerabilities Detected by DAST

DAST tools are designed to detect a wide range of runtime security issues, including:

  • SQL injection
  • Cross-site scripting (XSS)
  • Command injection
  • Directory traversal
  • Cross-site request forgery (CSRF)
  • Insecure cookies and HTTP headers
  • Broken authentication and session controls
  • Information disclosure in server responses

Benefits of Using DAST Tools

DAST tools provide real-time visibility into how applications behave under attack. They identify security flaws that only surface during execution, making them essential for runtime security testing.

  • Finds Real-World Vulnerabilities in Deployed Environments: Detects issues that only appear when applications are running, such as misconfigurations, injection flaws, and insecure error handling.
  • No Access to Source Code Required: Suitable for third-party applications or legacy systems where the codebase is unavailable.
  • Language-Agnostic Testing: Works across any tech stack by targeting exposed endpoints rather than internal architecture.
  • Supports Security Testing Later in the SDLC: Validates that security controls function correctly in staging or pre-production environments.
  • Complements Other Testing Methods: Bridges the gap between static analysis and manual penetration testing by simulating real attacks with automated tooling.
  • Integrates into DevSecOps Pipelines: Many DAST tools offer CI/CD support, enabling continuous testing as part of automated build and deploy workflows.
  • Improves Audit and Compliance Readiness: Helps generate reports aligned with security standards and frameworks such as OWASP Top 10, PCI DSS, or ISO 27001.
author
Tzvika Shneider
CEO, Pynt

Tzvika Shneider is a 20-year software security industry leader with a robust background in product and software management.

Expert Tip: How to Strengthen Your API Security Testing Strategy

  • Enable continuous scanning: Implement continuous security scans for running APIs to catch security vulnerabilities as they appear in real-time environments.
  • Simulate real-world attack scenarios: Test your APIs using realistic attack simulations to identify vulnerabilities that may not be evident under normal testing conditions.
  • Incorporate input validation in tests: Conduct tests focusing on input validation to ensure the application correctly handles unexpected, malformed, or malicious input data.
  • Integrate with alerting systems: Set up integrations with alerting systems to notify relevant teams immediately when a critical vulnerability is detected during testing.
  • Assess API error responses: Test for excessive information disclosure in error messages, which can reveal sensitive details about the system’s inner workings.

Limitations of DAST Tools

While DAST tools are valuable for runtime security testing, they have known limitations that teams should consider when designing an application security strategy. The table below outlines the most common constraints and their implications:

Limitation Description
No Source Code Visibility DAST tools cannot access internal logic or code structures, making it difficult to identify insecure coding patterns or logic errors that don’t surface during execution.
Limited Business Logic Coverage Without contextual understanding, DAST often misses flaws tied to complex workflows or conditional behavior between components.
Challenging for Dynamic Authentication Applications with token-based auth, CAPTCHAs, or multi-step login processes may require custom setup or fail to be scanned completely.
False Positives and Tuning Overhead DAST can produce noisy results that must be manually validated, especially in early runs or poorly scoped scans.
Latency in Real-Time Detection Since DAST is performed on running applications, flaws may only be caught later in the development process, slowing remediation.
Not Designed for Early-Stage Testing DAST is best suited for staging and pre-production. It cannot test components that are incomplete, isolated, or not deployed.

Best Practices for Implementing DAST

Integrating DAST effectively requires more than just running scans. To get actionable results without slowing development, teams need to align DAST with their workflows, environments, and remediation processes.

  • Define Clear Scanning Scopes and Targets: Limit scans to specific environments, such as staging or dedicated test instances, to avoid production impact and reduce noise.
  • Use Authentication Profiles Where Possible: Configure the tool to handle login flows so it can reach protected areas of the application and test authenticated functionality.
  • Integrate DAST into CI Pipelines: Trigger scans automatically during build or deploy phases to ensure continuous security testing without manual effort.
  • Tune Scans to Reduce False Positives: Apply custom rules, exclusions, and thresholds based on early scan results to improve accuracy over time.
  • Review and Triage Findings Regularly: Prioritize remediation using severity ratings and reproducibility of results to keep security work actionable.
  • Combine with Other Testing Methods: Pair DAST with static analysis, manual testing, or API-focused tools to cover gaps and improve overall visibility.
  • Document Testing Policies and Results: Maintain a record of what is tested, when, and how, to support audits, compliance, and ongoing improvement.

Future of DAST Tools

DAST is evolving rapidly to meet the demands of complex, modern software environments. Future advancements will focus on deeper intelligence, broader environment coverage, and more specialized handling of APIs.

AI and ML Enhancements

Artificial intelligence and machine learning are being used to improve scan accuracy and speed. Future DAST tools will use ML models to better understand application behavior, predict attack paths, and reduce false positives by distinguishing between real threats and safe anomalies.

AI can also help optimize scan paths, prioritize findings based on context, and detect patterns across environments that traditional rule-based scanners would miss. These improvements will allow DAST to move closer to real-time detection while maintaining high precision.

Cloud-Native Application Scanning

As more applications move to distributed and ephemeral environments, DAST tools are shifting toward cloud-native architectures. Future solutions will be designed to scan microservices, containers, and serverless functions without requiring static infrastructure. This evolution includes agentless scanning, API-level orchestration, and integration with cloud provider environments such as AWS, Azure, and GCP. The goal is to keep up with rapid deployment cycles without sacrificing visibility into runtime behavior.

API-Specific DAST Evolution

With APIs becoming the primary interface in modern applications, traditional DAST tools are being extended or replaced by solutions purpose-built for API security testing. These tools go beyond generic payload injection by understanding API schemas, authentication mechanisms, and logic-based interactions.

Future DAST platforms will incorporate features such as auto-import of OpenAPI and Postman specs, session-aware scanning, and business logic validation at the endpoint level. This shift is already underway, and tools like Pynt are leading in this space by focusing on real-world API behavior rather than just surface testing.

Diagram showing Postman sending functional tests directly to a target application and through Pynt, which adds automated security tests before execution.

Conclusion

DAST tools have become essential for identifying runtime security flaws in modern web applications and APIs. They simulate real attacks, exposing issues that static methods often miss. When choosing a DAST solution, factors like scan accuracy, integration capabilities, API support, and usability all play a critical role.

As security shifts earlier in the development process, DAST is evolving to fit into CI/CD pipelines, cover cloud-native apps, and address the growing complexity of APIs. By adopting the right DAST tool and aligning it with your workflows, teams can strengthen their security posture without slowing delivery.

FAQs

Why is Pynt considered DAST 2.0?

Pynt is considered DAST 2.0 because it goes beyond traditional dynamic testing. It focuses specifically on APIs, analyzing functional tests and business logic to uncover flaws that legacy tools often miss. Pynt integrates early into the software development process and adapts to modern CI and DevSecOps environments.

What is the difference between SAST and DAST tools?

SAST tools review source code or binaries before the application runs. They are used early in development to catch logic errors and coding flaws. DAST tools test live applications during runtime, identifying security risks by simulating external attacks. SAST is static and code-focused, while DAST is dynamic and behavior-focused.

When should I use DAST?

DAST is most effective during the testing and staging phases, before deployment. It is also valuable in production environments for continuous scanning. Use DAST to detect issues that only appear when the application is live, such as authentication flaws, misconfigurations, or injection attacks.

Which DAST is best for cloud platforms

Pynt stands out for cloud-native environments thanks to its API-first approach and seamless integration with CI pipelines. It dynamically analyzes business logic through existing functional tests and adapts to modern microservices architectures often used in the cloud. While Invicti and Acunetix also offer strong support for cloud platforms, Pynt provides deeper insight into API behavior and context, making it ideal for securing cloud applications built around service-to-service communication.

What is the difference between DAST and Pentest?

DAST is automated and continuous, built to scan for known issues across the attack surface. Penetration testing is a manual process carried out by security experts who simulate advanced, real-world attack scenarios. DAST covers broader areas more frequently, while pentesting explores deeper logic flaws and edge cases.

Learn more about DAST with these resources:

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