The Checkmarx tool is used for static application security testing (SAST): it scans your source code, bytecode, or binaries for security vulnerabilities without running the program. If someone asks what the Checkmarx tool is used for, the short answer is that it finds flaws like SQL injection and cross-site scripting at the code level, early in the software development lifecycle, so developers can fix them before the application ever reaches production.
That "which program" the Checkmarx tool is used for is your own application's source code, not third-party libraries in the same way a dependency scanner works. Understanding that distinction is the key to using it well.
What kind of testing Checkmarx does
SAST is a white-box method. It analyzes code from the inside, tracing how data moves through your application rather than throwing inputs at a running instance. Checkmarx builds a model of the code and follows data flows from sources (places where untrusted input enters, like an HTTP parameter) to sinks (places where that data does something dangerous, like a database query or an HTML response).
When tainted data reaches a sensitive sink without proper sanitization, Checkmarx flags it. This is how it detects injection, XSS, insecure authentication patterns, and data exposure across many languages and frameworks. Because it reads the code directly, it can point you to the exact file, line, and data path, which is far more actionable than a vague "this endpoint looks vulnerable" from a runtime scan.
Where the Checkmarx tool fits in the SDLC
The value of SAST is timing. The earlier a bug is caught, the cheaper it is to fix. Checkmarx is designed to run at several points:
- In the IDE, giving developers feedback as they write, before code is even committed.
- In the CI/CD pipeline, scanning on pull requests or merges so a security regression can block a build.
- In a central AppSec dashboard, giving security teams a portfolio view across many repositories.
This "shift left" positioning is the whole point. A vulnerability caught in a pull request costs minutes to fix. The same bug found in production after a breach costs incident response, disclosure, and reputation. Running Checkmarx on every change keeps the feedback loop tight.
What SAST catches well, and what it misses
SAST tools like Checkmarx are strong at code-level flaws where the vulnerable pattern is visible in the source:
- SQL and command injection
- Cross-site scripting
- Path traversal
- Hardcoded secrets and weak cryptography usage
- Insecure deserialization patterns
They are weaker at things that only appear at runtime or depend on configuration and environment:
- Business logic flaws (a SAST engine does not know your authorization rules)
- Vulnerabilities that emerge from how services are deployed and networked
- Issues in third-party dependencies, which is a different discipline
That last point matters a lot. SAST analyzes the code your team writes. It does not tell you that a library you imported has a known CVE. For that you need software composition analysis, which inventories your open-source dependencies and matches them against vulnerability databases. The two are complementary: SAST covers your first-party code, SCA covers everything you pulled in from npm, Maven, PyPI, and the rest.
Managing false positives
The honest limitation of any SAST tool, Checkmarx included, is noise. Data-flow analysis is conservative by design: it flags anything that could be a problem, which means it reports paths that are actually safe because of a sanitizer it did not recognize or a framework protection it cannot see. Teams that turn on SAST and dump every finding on developers usually watch adoption collapse within a sprint.
Practical ways to keep it useful:
- Tune the ruleset to your stack. Disable checks for frameworks you do not use.
- Triage by exploitability, not raw count. A reachable injection in a login handler outranks a theoretical issue in dead code.
- Suppress false positives with documented justifications so the same finding does not resurface every scan.
- Fail the build only on high-confidence, high-severity findings at first, then tighten as trust grows.
SAST alongside DAST and SCA
No single scanning method covers everything, and Checkmarx is one piece of a layered program. A mature AppSec setup usually pairs three approaches:
- SAST (Checkmarx and peers) for first-party source code
- DAST for testing the running application from the outside, which catches configuration and runtime issues SAST cannot see. Our DAST product page explains where dynamic testing complements static analysis.
- SCA for the open-source dependencies that make up most modern codebases
Running all three, wired into the same pipeline, gives you coverage across the code you wrote, the code you deployed, and the code you borrowed. Our academy has a walkthrough of how to sequence these without overwhelming developers.
FAQ
What is the Checkmarx tool used for?
It is used for static application security testing. Checkmarx scans source code, bytecode, or binaries to find security vulnerabilities like injection and XSS without executing the program, so issues can be fixed early in development.
What program is the Checkmarx tool used for?
It analyzes your own application's source code across many languages and frameworks. It is a white-box tool for first-party code, not primarily a scanner for third-party open-source dependencies.
Does Checkmarx replace dependency scanning?
No. SAST covers the code your team writes. It does not detect known CVEs in the open-source libraries you import. You still need software composition analysis for that layer.
Why does Checkmarx report false positives?
Data-flow analysis is deliberately conservative and flags any path that could be vulnerable, including safe ones where it cannot see a sanitizer or framework protection. Tuning rules and triaging by exploitability keeps the results actionable.