SAST analyzes application source code, bytecode, or binaries for security vulnerabilities without executing the program, enabling early detection during development.
SAST (Static Application Security Testing) is a white-box testing methodology that analyzes source code, bytecode, or compiled binaries to identify security vulnerabilities without executing the application. It scans for coding patterns that indicate flaws like SQL injection, buffer overflows, and hardcoded credentials during the development phase.
SAST tools parse application code into abstract syntax trees or intermediate representations, then apply rule-based and dataflow analysis to trace tainted inputs through code paths. They identify sinks where unsanitized data reaches dangerous functions, flagging potential injection, authentication, and cryptographic weaknesses.
SAST effectively detects SQL injection, cross-site scripting, buffer overflows, hardcoded secrets and credentials, insecure cryptographic implementations, path traversal, XML external entity injection, race conditions, null pointer dereferences, and insecure deserialization patterns in source code.
SAST produces false positives since it lacks runtime context, cannot detect configuration-level or environment-specific issues, struggles with framework-specific conventions, and cannot identify business logic flaws. It also has difficulty analyzing dynamically typed languages and third-party library interactions without source code access.
SAST integrates as a pipeline gate in CI/CD workflows, scanning code on every commit or pull request. Teams configure severity thresholds to break builds on critical findings while allowing lower-severity issues to proceed with tracked remediation timelines, enabling shift-left security practices.
SAST analyzes source code without execution, finding vulnerabilities early in development with precise code-line locations. DAST tests running applications from the outside, detecting runtime and configuration issues. SAST excels at code-level flaws while DAST finds deployment-specific vulnerabilities they complement each other.
Modern SAST tools support Java, C/C++, C#, Python, JavaScript, TypeScript, Go, Ruby, PHP, Swift, Kotlin, and Scala among others. Coverage varies by vendor. Language-specific analyzers understand framework conventions for Spring, Django, React, and Angular to reduce false positives.
Organizations should tune SAST rules to their tech stack, establish triage workflows with security champions, use baseline scans to suppress known issues, implement custom rules for internal frameworks, and track false positive rates to continuously improve scanner accuracy and developer trust in findings.