20 packages. Current versions. The kind of stack thousands of teams are running right now. Next.js 14. React 18. Express. Django. Spring. axios. jsonwebtoken. OpenSSL 3.1.4. 146 known vulnerabilities found. Live from OSV NVD GHSA. SHA-384 Merkle commitment. RS256 signed. Bitcoin-anchored. Independently verifiable. The tool doesn't have an opinion. It just shows you what's there. Free trial — no account needed: #SupplyChainSecurity #SBOM #AppSec #DevSecOps #CycloneDX #NextJS #Django @nextjs @django @webpack @expressjs @SpringFramework @SocketSecurity @anchore #CycloneDX

your question is broken. when you say key, which key? private or public? also, jsonwebtoken defaults to HS256, which is symmetric. you randomly jumped to RS256 without even knowing which algorithm was used for signing. this attack only works if: - signing uses RS256 or similar - the public key is used in verify and no explicit algorithm is enforced otherwise this whole discussion is just slop.

The documentation for jsonwebtoken directly contradict what you just said. This reads like AI slop and I saw similar replies from other people on that thread that turned out to be AI bots.

Learn with Youtube clone Chapter 1: Setting up The first thing everyone does when they start a project is environment setup.... for frontend its, usually: -> npx create-next-app@latest . -> npm i axios motion zustand for backend its, usually: -> npm i express prisma dotenv nodemon jsonwebtoken its all good for local, you npm run dev it... and enjoy running on local But, what if you want to deploy it for production over (server, cloud, render, railway, vps) etc... how do you pack them all together and upload it together, such that they work there like, they are working in your device.... (dear vibecoders, dont't say vercel handles it for me) (what are you even doing here, go to back to prompting, your ai must have responded by now.) Here, comes docker.... for newbies, think its a box, where you keep all you app files, dependencies, services together... and whenever you want to run it, you just plug the box in and taddaaaaaa!!! it works just like it worked in your local machine if (yk docker) goto nextpost else youtube.com/results?search_q… cout << "Thank you" << endl; return;

Most developers don't know their stack is vulnerable until something breaks in production. By then, it's too late. I built an AI agent that scans your entire tech stack for known vulnerabilities every week and drops the report straight into your Slack. It's called StackGuard. Here's how it works 👇 ✅ You fill out one form. Your frontend, backend, languages, databases, packages, infrastructure, and version numbers. That's it. You never touch the agent again. 🛡️ StackGuard stores your stack in memory and takes it from there every single week. 🌐 Every Monday, it fires up a cloud browser and hits three sources back to back: ✳️NVD (National Vulnerability Database) ✳️GitHub Security Advisories ✳️Snyk Vulnerability Database It searches your exact stack, not generic security news. Your technologies. Your versions. Your risk. Then it filters, deduplicates, and categorizes every finding into four tiers: 🔴 Critical (CVSS 9.0 ) — act today 🟠 High (7.0 to 8.9) — fix this week 🟡 Medium (4.0 to 6.9) — monitor and plan 🔵 Low (below 4.0) — worth noting No noise. Just what matters for your stack specifically. For every vulnerability found, it writes a plain-English breakdown. Not the raw CVE description that reads like a legal document. What the vulnerability is. What an attacker can do with it. Which part of your stack is exposed. Exactly what to upgrade to. This was built for developers. I tested it on a real stack: React 18.2, Next.js 14.1, Node.js 20.11, PostgreSQL 15, Redis 7.0, Lodash 4.17.15, Axios 1.6.0, OpenSSL 3.0.2, Docker 24.0, Nginx 1.25 The agent came back with 17 vulnerabilities across 13 technologies. 5 of them critical. CVSS scores of 10.0. The full report landed in a dedicated Slack channel, formatted cleanly with: severity sections, CVE IDs, affected technologies, CVSS scores, and one-line fix actions. Python 3.11, jsonwebtoken 9.0.0, Docker 24.0, and JavaScript came back clean. That distinction alone builds trust in the output. ✅ This is the kind of agent that used to require a dedicated security engineer, a subscription to a paid vulnerability tool, and a custom Slack integration. Now it's one form, one agent, one weekly report. Built entirely on CREAO AI. Introducing StackGuard. Real-time vulnerability intelligence for your dev stack. Scans three sources. Filters by severity. Delivers to Slack. Runs itself. If you're a developer or building for one, this is the kind of automation that actually protects your work. Built with @CreaoAI @CreaoBuilds @CreaoAI #Creaocontest #buildwithCreao

Day84 Of #100DaysOfCode >I learned how JWTs handle stateless authentication >Created Stateless Authentication Using JsonWebToken(JWT) #ExpressJs #Docker #Backend

Give your AI Agents the power of jwt.io. 🔐🤖 You can now natively decode, encode, and validate JSON Web Tokens right inside your favorite agentic coding harness. Plug and play token management for your autonomous workflows. Add it to your workspace: npx skills add jsonwebtoken/jwt-skills Check out the demo below to see how it works 👇

Step by step guide of how JWT sign() works behind the scene #jwt #jsonwebtoken

completed making a simple todo application, nothing fancy and i observed the following things coming from the express ecosystem - hono's built in logger feels barebones after being used to morgan's logs - built in zod validation. i didn't have to use my own custom middleware to validate bodies, params or queries along with the type inference - it doesn't lean towards controller based architecture. it can bridge the gap using createFactory but adapting to it feels different - love not having to install cookie-parser or jsonwebtoken because hono comes with batteries included

- use bcrypt to hash passwords - use jsonwebtoken for creating JWT tokens - JWT has 3 parts: header, payload, and signature - use Mongoose pre hooks to run logic before saving (e.g., hashing passwords)

🚀 Backend Class #11 - @ankurdotio • Implemented full Authentication system🔐 • Handled existing users gracefully✅ • Organized APIs using Express Router📁 • Created tokens & stored them in cookies using cookie-parser & jsonwebtoken🪙 #BackendDevelopment #Authentication

The thing come dey sound like jsonwebtoken

HTTP is stateless so the server forgets you everytime, so we use JsonWebToken method A client(user) sends a request to the server first time(it's when you create a new account in some website), it sends clients details like username, email, password to the server(backend).

Day 61 of backend Protecting routes This is the first part where we create a middleware function called protect. This function acts as a "gatekeeper" that every request to a protected route must pass through. Step 1: Getting the Token The server needs to find the token sent by the client and there are two common ways to send this - Authorization Header: The most standard way. The client sends a header like - Cookies: Storing the token directly in the browser. The code checks req.headers.authorization, If no token is found its returns 401 error Step 2: Token Verification Once the server has the token, it must prove it is legitimate. This is done using the jwt.verify method from the jsonwebtoken library Step 2: User Validation This is a crucial security step where we check if users still exists and check if password was changed Step 4: Granting Access If all the above checks pass, The current user data is stored and the next() function is called

Day 59 of backend Signing users in. This is where authentication gets really serious. Backend devs, Do you implement the whole login, protecting and authorization all by yourself or do you use external libraries? I installed the jsonwebtoken npm package to handle all jwt tasks. We use jwt.sign() to create a new token. Which typically requires the payload (which is the user ID), secretkey. Then we make sure we send the token to the client Practice practice #webdev #backend #nodejs