Catastrophic backtracking in regular expressions can freeze a Node.js server with a single crafted input, and AI coding assistants produce vulnerable patterns surprisingly often. Learn to spot and fix them before they reach production.
Merging user-supplied objects without sanitisation can corrupt the JavaScript prototype chain and allow remote code execution. This article explains how the attack works and how AI-generated object merge utilities introduce it.
Redirecting users to a URL passed in a query parameter after login is a common pattern AI assistants generate without a whitelist check, enabling phishing and credential theft. Learn how to validate redirect targets safely.
Accepting the algorithm field from the token header instead of enforcing it server-side lets attackers forge valid JWTs. Understand how this flaw appears in AI-generated auth code and the one config change that closes it.
AI assistants generate CRUD endpoints quickly but routinely omit the ownership checks that stop one user from reading or modifying another user's data. This guide shows the pattern, the risk, and the two-line fix.
AI-generated GitHub Actions workflows look correct but repeatedly make the same secrets-handling mistakes. Here is what goes wrong and how to fix it before your API keys end up in build logs.
Attackers can publish a malicious public package with the same name as your internal one, causing npm to install the wrong version. Understand how this supply-chain attack works and how to scope your private packages to prevent it.
AI assistants scaffold diagnostic routes and admin panels during development that routinely make it into production builds without authentication. Learn how to audit your route list and gate sensitive endpoints before you ship.
Secure, HttpOnly, and SameSite flags are the first line of defence for session cookies, yet AI assistants omit them more often than not. Here is what each flag does and how to enforce them in a Node.js or Next.js project.