Security testing guides — vulnerability scanning, penetration testing basics, and secure SDLC practices.
Testing
Row-Level Security (RLS) is PostgreSQL's mechanism for enforcing data access policies at the database layer. For multi-tenant SaaS applications, RLS is a powerful defense-in-depth tool — even if application-layer authorization has a bug, RLS prevents cross-tenant data leakage at the database level. But
Testing
Role-Based Access Control (RBAC) is the authorization layer that ensures users can only access what they're permitted to. Manual testing of RBAC is insufficient — authorization bugs are subtle, easy to miss, and have severe consequences. Automated RBAC tests verify every permission boundary systematically. This guide covers implementing
Testing
Privilege escalation occurs when a user gains access or capabilities beyond what they were granted. Vertical escalation is gaining a higher role (user → admin); horizontal escalation is accessing another user's resources at the same privilege level. Both are critical security vulnerabilities that automated testing must catch. This guide
Testing
Payment fraud takes many forms — card testing attacks, negative amount injection, currency confusion, duplicate charge races, and webhook replay. Standard happy-path payment tests don't catch these scenarios. This guide covers testing adversarial and edge-case payment flows that expose real fraud and reliability vulnerabilities. Card Testing Attack
Testing
OAuth 2.0 and OpenID Connect (OIDC) are the foundation of modern authorization. Testing them is challenging because they involve multiple parties (client, authorization server, resource server), time-sensitive tokens, and complex flows. Bugs in OAuth implementations lead to security vulnerabilities that are hard to detect manually. This guide covers
Testing
Multitenancy bugs are among the most dangerous in SaaS applications — a data leak between tenants can expose customer data to competitors, trigger regulatory penalties, and destroy trust. Testing tenant isolation systematically prevents these catastrophes. This guide covers multitenancy testing: verifying data isolation, testing API-level tenant boundaries, detecting cross-tenant
Testing
Electron apps run web content in a desktop shell with access to Node.js APIs. This combination is powerful — and dangerous. Security vulnerabilities in Electron apps can lead to remote code execution (RCE), making security testing not optional but critical. This guide covers automated security testing for Electron applications: testing
Security Testing
Software supply chain attacks have become one of the most effective attack vectors in modern software. SolarWinds compromised 18,000 organizations through a single tampered build. XZ Utils nearly backdoored OpenSSH in half the Linux servers on the internet. The pattern is consistent: attackers don't attack your software
Security Testing
Container image signing closes a critical gap in software supply chain security: verifying that the image running in production is exactly the image your CI pipeline built — and nothing else. Sigstore and its Cosign tool make this practical, with keyless signing that eliminates the burden of managing long-lived private
Security Testing
A Software Bill of Materials (SBOM) is the foundation of modern supply chain security. Without knowing exactly what components your software contains, you cannot know what vulnerabilities you carry. Syft generates SBOMs; Grype scans them for vulnerabilities. Together they form a practical SBOM testing workflow that fits into any CI
Security Testing
Dependency vulnerability scanning is table stakes for modern CI pipelines. A new critical CVE can drop at any moment, and without automated scanning, your pipeline will happily ship code with known exploitable vulnerabilities. Three tools dominate this space: Grype, Trivy, and OSV-Scanner. Each has different strengths, and the right
Security Testing
in-toto is the foundational framework for software supply chain security that powers much of modern tooling — including SLSA provenance and Sigstore attestations. Understanding in-toto means understanding the underlying model that these higher-level tools implement. The Problem in-toto Solves The SolarWinds attack succeeded because attackers compromised the