While building full-stack applications, one thing I’ve realized: Authentication is easy to implement, but hard to implement securely. In my recent projects, I’ve worked with: JWT-based authentication Protected routes Role-based access control Now focusing on improving: Input validation Preventing common vulnerabilities (XSS, SQL Injection) Trying to move from just “building apps” → to building secure systems 🔐 #FullStackDeveloper #WebSecurity #NodeJS #ReactJS
Secure Full Stack Development with JWT and NodeJS
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🚨 Axios just got compromised. Axios — the HTTP client baked into nearly every Next.js, Vercel, and BigCommerce project — was hit via a compromised maintainer account. This one’s a big deal. Millions of production apps are potentially exposed right now. Big credit to Snyk — they responded extremely fast, publishing detailed advisories (SNYK-JS-AXIOS-15850650 + SNYK-JS-PLAINCRYPTOJS-15850652) and detection rules within hours. Right now engineers everywhere are scrambling to audit their dependency trees and pin safe versions. → Read Snyk’s full analysis here: https://lnkd.in/gn2MDv6X Supply-chain attacks don’t care how clean your code is. #SupplyChainSecurity #Axios #Snyk #NextJS #JavaScript
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The "Problem-Solver" (Focuses on Security) Best if you want to show you understand why backend security matters. Headline: Stop storing passwords in plain text! 🛡️ Body: I just finished building a secure Authentication System for my latest backend project. Here’s what I implemented to ensure user data is handled like a pro: ✅ Bcrypt Hashing: Never store raw passwords. I used salting and hashing to protect user credentials. ✅ Joi Validation: "Never trust user input." I built a validation schema to enforce strong passwords (min 8 chars) and clean usernames. ✅ JWT (JSON Web Tokens): Implemented stateless authentication to keep sessions secure. ✅ OTP Flow: Added a "Forgot Password" logic with time-limited OTPs. It’s one thing to make an app work; it’s another to make it secure. Onwards to the next challenge! 🚀 #NodeJS #BackendDeveloper #WebDevelopment #CodingJourney #InternshipPrep https://lnkd.in/gUnCkt4d
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Axios Supply Chain Attack – What It Means for My Project "Social Media Automation System" Recently, the widely used JavaScript HTTP client Axios was compromised in a supply chain attack via npm. Malicious versions ("1.14.1" and "0.30.4") included a hidden dependency that deployed a Remote Access Trojan (RAT) during installation. Why this matters: As a Node.js developer working on an automation system, this kind of vulnerability poses a serious risk—unauthorized access, data leaks, and full system compromise can happen without any changes to my actual code. What I did immediately: - Audited my dependencies - Identified the affected Axios version - Uninstalled the compromised package - Reinstalled the latest secure version - Cleaned and rebuilt my environment Key takeaway: Your biggest security risk isn’t always your code—it’s your dependencies. Regular audits and staying updated on ecosystem vulnerabilities are non-negotiable. #NodeJS #ffmpeg #OpenSource #JavaScript #WebDevelopment #DevOps #SoftwareEngineering
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Axios was compromised on March 30. 100M weekly downloads. One poisoned config. Zero warnings. No CVE. No alerts. Just code that ran—and vanished. For React Native teams, the damage doesn't stop at the developer machine, it reaches every binary built during the exposure window. More details: https://loom.ly/lvOj3Eo #MobileSecurity #AppSecurity #SupplyChainSecurity #Breach
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Patched package. Exposed developers (still). Bigger risk for vibe-coded apps. Axios fixed the immediate issue, but the downstream question is what attackers may have accessed through developer machines and CI/CD — and what that means for shipped mobile apps. That is the hidden danger in ai-assisted/vibe-coded development: the security-layer is thin or missing and non-developers may lack the sophistication required to identify, isolation and fix issues like this. Faster shipping can amplify supply-chain exposure without the right controls. #MobileSecurity, #AppSec, #SoftwareSupplyChain #ReactNative #CyberSecurity #AICode
Axios was compromised on March 30. 100M weekly downloads. One poisoned config. Zero warnings. No CVE. No alerts. Just code that ran—and vanished. For React Native teams, the damage doesn't stop at the developer machine, it reaches every binary built during the exposure window. More details: https://loom.ly/lvOj3Eo #MobileSecurity #AppSecurity #SupplyChainSecurity #Breach
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The Axios issue impacts mobile apps. The NPM package could be in a 1st party app that you build or a 3rd party app that you use. Test the binary to ensure that you have not been impacted. NowSecure can help.
Axios was compromised on March 30. 100M weekly downloads. One poisoned config. Zero warnings. No CVE. No alerts. Just code that ran—and vanished. For React Native teams, the damage doesn't stop at the developer machine, it reaches every binary built during the exposure window. More details: https://loom.ly/lvOj3Eo #MobileSecurity #AppSecurity #SupplyChainSecurity #Breach
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The "install a package for everything" culture in the JavaScript ecosystem just backfired again. ⚠️ The recent hacker attack targeting Axios (via malicious dependency injection) exposes the true fragility of our supply chain in web development. A single compromised dependency can open a remote access backdoor in millions of applications overnight. Every new dependency we add to our package.json is a potential attack vector. We need to be more intentional about what we install and find the right balance, leveraging battle-tested libraries for complex problems, but taking the time to build simple utilities from scratch instead of relying on a package for everything What does the package update and audit policy look like at your company today? 🔗 Read more about the attack: https://lnkd.in/dZ7Du7E4
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Recently explored how OAuth 2.0 actually works. I’ll be honest — I’m still not strong in Spring Security yet. Here’s what I understood: • User is redirected to the Authorization Server (like Google) • User gives consent (scopes) • App receives an authorization code • Code is exchanged for an access token • Access token is used to request protected resources • Resource server validates and grants access It's getting hard to implement it and I am trying implement though. Right now, the focus is clear: → Understand fundamentals deeply → Then map it properly to Spring Security #OAuth2 #SpringSecurity #BackendDevelopment #Java #SystemDesign #LearningInPublic #SoftwareEngineering
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Day 13 of My 21-Day Web Development Challenge Today I focused on improving backend security and data validation Here’s what I explored Rate Limiting Implemented rate limiting to control the number of requests from a user Protected APIs from spam and brute-force attacks Ensured better server stability and performance Example: Limiting login attempts to prevent unauthorized access Express Validators Used express-validator for request validation Validated user inputs (email, password, etc.) Prevented invalid or malicious data from reaching the database Why It Matters Improves application security Ensures clean and valid data Prevents unnecessary load on the server Follows industry best practices Key Learning Security is not just authentication — it also includes: ✔️ Controlling request flow (Rate Limiting) ✔️ Validating incoming data (Validators) Small improvements like these make applications production-ready #WebDevelopment #BackendDevelopment #Security #ExpressJS #JavaScript #MERNStack #CodingJourney #21DaysChallenge #BuildInPublic
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🚨 Axios, Security, and Why Developers Are Debating It Lately I've been seeing many posts claiming that Axios is vulnerable or “hacked.” But the reality is more nuanced. For context, Axios is a popular JavaScript library used to send HTTP requests to APIs. It powers data fetching in many modern web applications. Recent discussions focus on request manipulation and geo-based exploits. In some cases attackers can: • spoof request origin or location • bypass geo restrictions or rate limits • abuse APIs if apps trust request metadata too much The key point: the issue is usually not the library itself, but relying on client-side data (IP, headers, geo) for security decisions. A few takeaways: • libraries aren’t security boundaries • client request data can be manipulated • real validation should always happen on the backend Axios remains widely used because it's simple and reliable — but security must be designed around it, not assumed inside it. Are you still using Axios, or did you switch to native fetch? #Frontend #WebDevelopment #JavaScript #Security #SoftwareEngineering
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