Static code scanning with 30+ languages and frameworks supported
In some cases, runtime security with IAST needs to be supplemented with static code scanning to meet the needs of your internal controls or potentially cover some legacy application code. Contrast Scan meets those needs to make code security testing as routine as a code commit while focusing on the most imperative vulnerabilities to deliver fast, accurate and actionable results.
Developer Ease-of-use
We foster developer adoption, making security testing as routine as submitting a pull request.
Prioritize Exploitable Flaws
Contrast Scan highlights findings that are exploitable by bad actors while filtering out noise.
DevOps Speed
Developers release new code several times a day. Contrast Scan provides code security scanning for modern pipelines with industry-leading speed.
Robust Code Scanning Language Coverage
Support for a wide range of languages and frameworks
Contrast Scan provides SAST coverage for a robust range of applications, with support for over 30 languages and frameworks for static code scanning. Development teams will have code scanning coverage for frameworks and languages such as C, C++, Swift, SAP ABAP, and many more.
Risk-Based Analysis Engine
Deliver focused results and expedite time-to-results
A breakthrough code scanning algorithm powers the static java binary engine in Contrast Scan, enabling teams to pinpoint exploitable vulnerabilities while ignoring those that pose no risk and only cause hours of needless triage. As a result, based on real-world scan results, Contrast Scan can shrink the amount of time to run scans by up to 10x.
Remediation Guidance
Identify & fix faster with actionable vulnerability data
Resources to help you get
secure code moving
Contrast Scan: Pipeline-Native SAST
Contrast Scan delivers automated security tests within developer pipeline at speeds up to 15x faster and up to 80% more accurate results than legacy commercial SAST tools.
Pipeline-Native Static Analysis: Why It Is the Future of SAST
Read this white paper to learn the benefits of a pipeline-native static analysis approach and what it entails.
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