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Application security is the discipline of finding and fixing the flaws that live in the code, dependencies, and runtime behavior of the software your organization builds and ships. It spans the whole lifecycle: catching vulnerabilities before merge with static testing (SAST), software composition analysis, secrets detection, and threat modeling, then guarding what is live with dynamic and interactive testing (DAST/IAST), API security, web application firewalls, bot management, and runtime self-protection (RASP). For most security leaders this is where the hardest tradeoff sits, because the people introducing risk are developers moving fast, and the controls that work are the ones that fit into the pipeline rather than fight it. Supply chain security, application security posture management (ASPM), mobile app security, and secure code training round out the category, and together they are how teams shift left without grinding shipping to a halt.
We cover 808 Application Security tools, 252 free and 556 commercial.
Accuracy and depth improve over time. Last reviewed Jul 2026. Is something off? Reach out.
Package verification tool for npm with various verification and testing capabilities.
A comprehensive library documenting Amazon S3 attack scenarios and risk-based mitigation strategies for cloud storage security.
A collection of vulnerable web application test cases designed to benchmark and evaluate the effectiveness of static security analyzers and penetration testing tools.
Helm plugin for cryptographically signing and verifying charts with GnuPG integration.
A minimalistic Java library for representing threat model data in a normalized way and automating threat intelligence extraction.
Preflight is a Go-based verification tool that helps organizations validate scripts and executables to prevent supply chain attacks by enabling secure self-compilation and trusted distribution methods.
npm-zoo is a curated database of known malicious NPM packages that helps developers and security researchers identify and avoid potentially harmful dependencies in their projects.
An extensible, heuristic-based vulnerability scanning tool for installed npm packages.
A Python script that scans Nexus Repository Manager for artifacts with identical names across repositories to identify dependency confusion attack vulnerabilities.
A security tool that detects potential Dependency Confusion attack vectors by identifying private package names that are not reserved on public registries.
Protect against Prototype Pollution vulnerabilities in your application by freezing JavaScript objects.
Automates the process of preparing Android APK files for HTTPS inspection
Android security virtual machine with updated tools and frameworks for reverse engineering and malware analysis.
DroidRA is an instrumentation-based Android security analysis tool that improves the accuracy of reflective call analysis through composite constant propagation techniques.
Runtime mobile exploration toolkit powered by Frida for assessing mobile app security without jailbreak.
Andromeda makes reverse engineering of Android applications faster and easier.
A command-line tool that secures shell command history by clearing sensitive commands, displaying command summaries, and providing stash functionality for presentations across multiple shell environments.
A community effort to compile security advisories for Ruby libraries with a detailed directory structure.
Patch-level verification tool for bundler to check for vulnerable gems and insecure sources.
Innovative tool for mobile security researchers to analyze targets with static and dynamic analysis capabilities and sharing functionalities.
Tools for working with Android .dex and Java .class files, including dex-reader/writer, d2j-dex2jar, and smali/baksmali.
ReFlutter is a reverse engineering framework that uses patched Flutter libraries to enable dynamic analysis and traffic monitoring of Flutter mobile applications on Android and iOS platforms.
808 tools across 14 specializations · 252 free, 556 commercial
Static Application Security Testing
Static Application Security Testing (SAST) tools that analyze source code for vulnerabilities using taint and dataflow analysis during development.
Secrets Detection
Tools that find and scan for leaked secrets, credentials, API keys, and tokens hardcoded in source code, repositories, and CI/CD pipelines.
Software Composition Analysis
Software Composition Analysis (SCA) tools for identifying vulnerabilities and license risks in open source dependencies and third-party libraries, with SBOM generation.
Common questions about Application Security tools, selection guides, pricing, and comparisons.
Application security is the practice of protecting software from vulnerabilities across its lifecycle, from the code developers write to the dependencies they import to the running app exposed to users. It covers pre-deployment testing like SAST, SCA, and threat modeling, and runtime defenses like WAFs, API security, and RASP. The goal is shipping secure software without slowing delivery to a crawl.
API security is a specialized slice of application security focused on the endpoints applications expose to each other and to clients. Broader AppSec covers the entire codebase, dependencies, and runtime; API security narrows in on authentication, authorization, schema abuse, and business-logic attacks against APIs. As architectures move to microservices and headless apps, API security has grown into its own discipline rather than a feature of general scanners.
SAST analyzes source code or binaries without running the application, catching flaws early but generating false positives. DAST tests the running application from the outside, like an attacker, finding real exploitable issues but later in the cycle. IAST instruments the app during testing to combine both views with better accuracy. Most mature programs use more than one, since each catches what the others miss.
Start with where your risk concentrates: a company shipping APIs needs different coverage than one shipping mobile apps. Prioritize tools that fit your developers' existing pipeline and IDE, because adoption beats raw detection depth. Watch the noise: false positive rates and triage burden quietly kill AppSec programs. Many teams now consolidate scanners under an ASPM layer rather than buying point tools per testing type.
Open-source tools like Semgrep, OWASP ZAP, and Trivy form a credible foundation, and plenty of teams run real programs on them. They tend to need more in-house tuning, lack the centralized triage and policy enforcement of commercial platforms, and rarely cover the full lifecycle alone. Most organizations land on a blend: open source for core scanning, commercial tooling where consolidation, support, and posture management matter at scale.