Best Dynamic Application Security Testing (DAST) Software for MySQL

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Compare the Top Dynamic Application Security Testing (DAST) Software that integrates with MySQL as of July 2025

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This a list of Dynamic Application Security Testing (DAST) software that integrates with MySQL. Use the filters on the left to add additional filters for products that have integrations with MySQL. View the products that work with MySQL in the table below.

What is Dynamic Application Security Testing (DAST) Software for MySQL?

Dynamic Application Security Testing (DAST) software is software that identifies and addresses vulnerabilities in web applications during runtime. Unlike static testing, which analyzes source code, DAST evaluates the security of running applications by simulating real-world attacks to detect issues such as SQL injection, cross-site scripting (XSS), and authentication flaws. This software helps security teams identify weaknesses in live applications and prioritize fixes based on the severity of potential threats. DAST tools are typically used during development, staging, or pre-production stages to ensure that applications are secure before being deployed to production. Compare and read user reviews of the best Dynamic Application Security Testing (DAST) software for MySQL currently available using the table below. This list is updated regularly.

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    Syhunt Hybrid
    Syhunt dynamically injects data in web applications and analyzes the application response to determine if the application code is vulnerable, automating the web application security testing and proactively guarding your organization's Web infrastructure against several kinds of web application security threats. Syhunt Hybrid follows simple GUI standards, prioritizing ease of use and automation and thus requiring minimal to no user intervention before or during scans despite a large number of customization options. Compare past scan sessions to determine new, unchanged or removed vulnerabilities. Generate a comparison report that displays the evolution of vulnerabilities over time by automatically comparing previous scan session data related to a specific target.
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