Ritesh Roushan @devXritesh
Software Engineer • Talk about System Design, Distributed Systems and AI Agents • DM for Collab & Work medium.com/@devxritesh X Joined February 2018-
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if you understand backend fundamentals, this vulnerability should look suspicious immediately, what's the vulnerability, and how would you fix it?
creators deserve more than exposure, they deserve partnerships that value their work. glad to see @TheReleaseStack working toward that.
every brand and every creator on X has these phrases memorized which one makes you flinch the hardest? 👇
@SahilExec @TheReleaseStack Going to be one of the best platform.
@adnaannasir_ @TheReleaseStack Do check out bro
@AlfinCodes Congratulations bro 🎉 Finally OCR part done 💪
@ravikiran_dev7 This is useful resources
@KrishnaBuildsAI Congratulations bro 🎉 Just 200k more to go
@TheReleaseStack My DMs are finally getting some peace
@GohilHardy I was using deepseek but not now
@DeepStarts Just relax agents working on it
@0xPrajwal_ This is crazy, just agents do your work
@jahirsheikh8 Only who can give good reason or none
How to secure API endpoints? An open endpoint is not “internal” , If it can be called, it can be abused. Let's see this practical checklist: 1. Require authentication on every protected route • Verify the token or session • Reject missing or expired credentials • Don’t skip auth because the route is “behind the gateway” 2. Check authorization, not just identity • Confirm the user can perform this action • Enforce resource ownership • A valid token should not let someone access another user’s order by changing the ID 3. Validate input before you do anything • Type, length, format, and required fields • Reject unexpected fields when possible • Don’t pass raw input into queries or downstream calls 4. Use the right HTTP method and status • GET for reads • POST, PUT, PATCH, DELETE for writes • 401 for missing auth • 403 for no permission • 429 for rate limits 5. Rate limit sensitive endpoints • Login • OTP • Password reset • Payment • Search and export Different limits for different risk levels. 6. Protect against common attacks • Parameterized queries for SQL • Output encoding for anything rendered • File type and size checks on uploads • CSRF protection on cookie-based sessions 7. Don’t leak data in errors • No stack traces in production • No “user exists” vs “user does not exist” on login if you can avoid it • Generic errors for auth failures 8. Log the request, not the secrets • Request ID • User ID • Endpoint • Status • Latency Skip passwords, tokens, and full payment details. 9. Version and deprecate carefully • Don’t leave old insecure endpoints alive forever • Monitor who still calls them • Shut them down with a plan 10. Test the failure cases • No token • Expired token • Wrong user • Oversized payload • Repeated calls An endpoint is secure when the wrong caller cannot succeed, not when the happy path looks fine. Which of your endpoints would you trust least if a random client found the URL?
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