Free guides on vulnerabilities, secure coding, and DevSecOps practices. Written for developers by security engineers.
SQL injection, XSS, CSRF, command injection, and other code injection attacks
The most dangerous web vulnerability explained with real-world impact
Reflected Stored and DOM XSS explained with detection strategies
Token-based protection SameSite cookies and automated CSRF detection
Parameterized queries ORMs input validation and automated detection
How SSRF exploits internal networks and cloud metadata services
How XML parsers become attack vectors and what to do about it
Understanding and preventing OS command injection in web applications
Why deserializing untrusted data leads to RCE and how to detect it
How injection attacks work beyond SQL and what to do about them
Understanding the JavaScript-specific vulnerability that can lead to RCE
Understand direct and indirect prompt injection attacks in language models MCP servers and agentic AI systems
Directory traversal attacks real breaches and prevention patterns across Node.js Python Java and Go
How template engines become code execution vectors in Flask Jinja2 and web frameworks — and how to prevent it
OWASP Top 10, CVE, CWE, and compliance frameworks
Every category explained with detection strategies and real-world examples
The CVE system scoring and how to use it in your security workflow
How CWE classifies software weaknesses and why it matters for SAST
Path traversal IDOR and missing authorization in modern applications
Modern encryption standards password hashing and avoiding weak algorithms
Comprehensive guide to securing authentication with JWT best practices OAuth 2.0 PKCE and multi-factor authentication
Requirement 6 explained — secure development secure systems and automated vulnerability detection for payment card applications
Article 32 technical safeguards encryption pseudonymization and how static analysis supports GDPR compliance
Common Criteria CC6–CC8 explained — logical access code security and change management for SaaS teams seeking SOC 2 Type II
Static analysis tools, techniques, and best practices
Comprehensive guide to integrating static analysis in your development workflow
How static analysis finds vulnerabilities before your code runs
The real cost of noisy security tools and how modern SAST solves it
Automated and manual code review for finding vulnerabilities
Static vs dynamic analysis when to use each and how they complement each other
How to find vulnerabilities in open source dependencies before they ship
Security in CI/CD pipelines, secure SDLC, and security culture
Understanding the four pillars of application security testing
Shift-left security tool integration and building a security culture
Framework for integrating security from design through deployment
How code quality practices prevent security vulnerabilities
Executive Order 14028 compliance SPDX vs CycloneDX and automated SBOM generation
Standardized vulnerability reporting and automated GitHub Security uploads
Configurable security thresholds CLI exit codes and automated enforcement
How to run security checks automatically at commit time using git hooks and the CodeSlick CLI
Third-party actions script injection GITHUB_TOKEN privilege escalation and secrets management for secure pipelines
Secrets detection, supply chain security, and dependency management
Understanding and fixing vulnerabilities in your JavaScript supply chain
Protecting your codebase from compromised dependencies
How to prevent leaked credentials from reaching production
Supply chain attacks typosquatting and automated threat detection
Understand why Groq API keys start with gsk_ how to validate them and how to prevent accidental exposure
Language-specific security guides for JavaScript, Python, Java, Go, and TypeScript
Instantly analyze your JavaScript code for vulnerabilities errors and best practices
Analyze Python code for vulnerabilities PEP violations and security issues
Deserialization SQL injection XXE and securing Java applications
XSS prototype pollution eval dangers and securing Node.js applications
SQL injection pickle deserialization command injection and more
Race conditions command injection and crypto pitfalls in Go codebases
How TypeScript projects still ship SQL injection XSS and secrets to production
Analyze TypeScript code for vulnerabilities type errors and security issues with 64 checks
Analyze Java code for vulnerabilities deserialization risks and OWASP issues with 32 checks
Analyze Go code for race conditions command injection and crypto pitfalls with 26 checks
API security, web application security, and input validation
How DOM manipulation creates XSS vulnerabilities that server-side protections miss
Server-side validation allowlisting and sanitization patterns
From OWASP compliance to automated scanning for modern web apps
How unvalidated redirects enable phishing and credential theft
Essential HTTP security headers for preventing XSS clickjacking and man-in-the-middle attacks
Wildcard origins reflected origins and credential leaks — how to detect and fix CORS vulnerabilities
Complete guide to securing APIs with authentication rate limiting input validation and automated scanning
Query depth attacks introspection leaks field-level authorization and rate limiting for GraphQL APIs
AI code detection, vulnerability scanners, container security, and emerging threats
The Log4Shell incident its impact and how to prevent similar supply chain attacks
How to think about security threats before writing code
Automated vulnerability detection for JavaScript TypeScript Python Java and Go
Why code from Copilot Cursor and ChatGPT needs security review
164 signals for detecting code from Copilot ChatGPT Claude and other LLMs
Understanding and preventing injection attacks on directory services
Securing Docker images containers and orchestration platforms
Comparing CodeSlick SonarQube Snyk and Semgrep for security-first teams
How catastrophic backtracking in regex patterns leads to denial of service
Quick reference for every security acronym developers encounter
119 patterns + 32 LLM fingerprints + 13 heuristics for detecting AI-generated errors
How command injection path traversal and prompt injection attacks target MCP tool handlers and how to detect them
The ten most critical security risks for large language model applications — from prompt injection to model theft
Data poisoning indirect prompt injection vector database access control and trust boundaries in RAG architectures
Security vulnerabilities are acute. Maintainability failures are chronic. These guides cover the other half of what breaks codebases.
Lost intent, silent drift, debt blindness — six real patterns with the incidents behind each one.
Why architectural entropy compounds silently in AI-accelerated codebases — and what to do about it.
How code silently diverges from its original intent across hundreds of PRs — and how to detect it.
Capturing the "why" behind code at commit time so understanding survives team changes and AI velocity.
A file-level scoring model that tells you where actual risk lives — not where the linter is noisiest.