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Application Security Testing Cheat Sheet

Application Security Testing Cheat Sheet

Back to Cybersecurity
Updated 2026-05-01
Next Topic: Backend Security Best Practices Cheat Sheet

Application Security Testing (AppSec Testing) encompasses methodologies, tools, and practices for identifying vulnerabilities in software applications throughout the development lifecycle. Testing techniques range from automated static and dynamic analysis to manual code review and penetration testing, each addressing different phases from development to production. Modern AppSec integrates security testing directly into CI/CD pipelines (shift-left approach), enabling continuous vulnerability detection while reducing remediation costs through early discovery. The field emphasizes combining multiple testing approaches—white-box, black-box, and gray-box—to achieve comprehensive coverage of both code-level flaws and runtime vulnerabilities. Understanding when to apply each testing method and how to integrate them into secure SDLC practices is essential for building resilient applications in 2026.

What This Cheat Sheet Covers

This topic spans 13 focused tables and 119 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Core Testing MethodologiesTable 2: Static Analysis Tools and TechniquesTable 3: Dynamic Testing Tools and ApproachesTable 4: Fuzzing TechniquesTable 5: Software Composition AnalysisTable 6: CI/CD Security IntegrationTable 7: Secure SDLC IntegrationTable 8: Bug Bounty ProgramsTable 9: Vulnerability ClassificationTable 10: Security Testing Best PracticesTable 11: Authentication and Authorization TestingTable 12: Container and Cloud Security TestingTable 13: Compliance and Reporting

Table 1: Core Testing Methodologies

No single technique sees the whole picture, which is why mature programs run several of these side by side. SAST reads the code without running it, DAST attacks it while it runs, IAST watches from inside, and the rest fill gaps that automation alone can't — manual review for logic flaws, threat modeling before a line is even written. The mental model worth carrying forward is white-box versus black-box: tools with source-code visibility find different bugs than tools poking at the running app from outside.

ApproachExampleDescription
SAST (Static Application Security Testing)
checkmarx scan --project MyApp
--lang java --output report.xml
• White-box analysis examining source code, bytecode, or binaries without execution
• Detects issues like SQL injection patterns, hardcoded secrets, insecure deserialization before runtime
• Fast feedback in IDE or CI/CD but prone to false positives
DAST (Dynamic Application Security Testing)
zap-cli quick-scan --self-contained
https://app.example.com
• Black-box testing of running applications by simulating attacks against HTTP endpoints
• Identifies runtime vulnerabilities like XSS, authentication flaws, CSRF
• No source code access required but cannot detect code-level logic flaws
IAST (Interactive Application Security Testing)
Contrast agent monitors
instrumented JVM runtime
• Hybrid approach combining SAST and DAST via runtime instrumentation
• Agents deployed inside application observe data flow during testing
• Low false positives with full execution context but requires runtime overhead
RASP (Runtime Application Self-Protection)
RASP agent blocks
SQL injection at runtime
• Security controls embedded in application runtime that detect and prevent attacks in production
• Provides real-time protection beyond detection
• Requires careful tuning to avoid blocking legitimate traffic
SCA (Software Composition Analysis)
npm audit
snyk test --all-projects
• Identifies open-source dependencies and known CVEs by matching package versions against vulnerability databases
• Detects outdated libraries, license violations
• Essential for supply chain security

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