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 and cloud WAAP, bot management and CAPTCHA, 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. Fraud and account-takeover detection by real people now lives in Fraud & Payment Security, and smart-contract and blockchain security has its own Web3 & Blockchain Security category.
We cover 925 Application Security tools, 276 free and 649 commercial.
Accuracy and depth improve over time. Last reviewed Sep 2026. Is something off? Reach out.
New to this category? What is Application Security (AppSec)?
A tool for extracting static and dynamic features from Android APKs.
Static security code scanner (SAST) for Node.js applications with Docker support and integrations with Slack.
A Node.js library for validating environment variables and providing immutable access to configuration values in applications.
Inspeckage is a dynamic analysis tool for Android applications that provides runtime behavior monitoring through API hooking and real-time system interaction tracking.
CakeFuzzer is an automated vulnerability discovery tool specifically designed for identifying security issues in CakePHP web applications with minimal false positives.
WebGoat is an OWASP-maintained deliberately insecure web application designed to teach web application security through hands-on exercises with intentional vulnerabilities.
A tool for translating Dalvik bytecode to equivalent Java bytecode, allowing Java analysis tools to analyze Android applications.
A key and secret validation workflow tool built in Rust, supporting over 30 providers and exporting to JSON or CSV.
A CLI tool that performs security assessments on Joi validator schemas by testing them against various attack vectors including XSS, SQL injection, RCE, and SSRF.
A command-line Android APK vulnerability analyzer written in Rust that decompresses and scans APK files using rule-based detection to identify security issues.
iOS Reverse Engineering Toolkit for automating common tasks in iOS penetration testing.
A CLI tool for signing and verifying npm and yarn packages.
A serverless application that demonstrates common serverless security flaws and weaknesses
NodeGoat provides an environment to learn and address OWASP Top 10 security risks in Node.js web applications.
AuditJS is a command-line tool that scans JavaScript projects for known vulnerabilities and outdated packages in npm dependencies using the OSS Index API or Nexus IQ Server.
A comprehensive Android application analysis tool that provides device management, logcat analysis, file examination, and integration with security frameworks like MobSF and JD-GUI.
ConDroid is a concolic execution framework for Android applications that automates dynamic analysis by driving execution to specific code locations without manual interaction.
A security-focused general purpose memory allocator providing the malloc API with hardening against heap corruption vulnerabilities.
Grafeas is an API specification for managing and auditing metadata about software resources across the software supply chain.
A plugin for viewing, detecting weak configurations, and generating Content Security Policy headers.
GuardDog is a CLI tool that identifies malicious PyPI and npm packages using heuristics-based analysis of source code and metadata.
Python tool for monitoring user-select APIs in Android apps using Frida.
RiskInDroid is a machine learning-based tool that performs quantitative risk analysis of Android applications by reverse engineering bytecode and analyzing permission usage to generate numeric risk scores.
925 tools across 15 specializations · 276 free, 649 commercial
API Security
API security tools and platforms for protecting REST APIs, GraphQL endpoints, and web services from security threats and unauthorized access.
Application Security Posture Management
Application Security Posture Management (ASPM) platforms that provide visibility into application security posture, risk assessment, and vulnerability management across software portfolios.
Dynamic Application Security Testing
Dynamic Application Security Testing (DAST) tools that identify vulnerabilities in running web applications and APIs through automated scanning.
Tool roundups, buying guides, and strategic analysis from the CybersecTools resource library.
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.