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Rate Limiting in Web Applications: Bug That Pays Your Rent

Introduction Rate limiting is a mechanism that regulates the frequency of client requests to a server within a specific time frame. It is a cornerstone of application stability, abuse prevention, and security hardening. Without it, a service is vulnerable to excessive load, brute-force attempts, and other automated exploitation techniques.Fundamental Concept The principle is straightforward:A client may perform only X number of requests or operations within Y time interval. If a client exceeds this threshold:Requests may be blocked (HTTP 429 Too Many Requests).Requests may be delayed until the limit resets.The client may be temporarily or permanently banned.How does it work?Common Rate Limiting StrategiesFixed Window CounterAll requests in a fixed period are counted. When the limit is exceeded, further requests are blocked until the next window begins.Example: “100 requests per minute.”Drawback: A burst at the end of one window and start of another may double the allowed rate. 2. Sliding Window LogMaintains a timestamped log of recent requests and calculates the request rate in real-time.More precise than a fixed window but requires more memory. 3. Token Bucket AlgorithmA “bucket” is filled with tokens at a fixed rate. Each request consumes a token. If no tokens remain, requests are denied or delayed.Allows for small bursts while maintaining an average rate. 4. Leaky Bucket AlgorithmSimilar to token bucket, but processes requests at a fixed output rate, discarding excess. 5. Dynamic/Adaptive Rate LimitingAdjusts thresholds based on system load, threat level, or client behavior.Common Weaknesses in Rate LimitingSingle-Layer EnforcementOverly Lenient ThresholdsUnprotected Secondary EndpointsLack of LoggingConclusion Rate limiting is not merely a performance optimization; it is a strategic safeguard that influences both the resilience and security posture of a system. Its correct implementation requires granular controls, thoughtful thresholds, and adaptive responses to varying usage patterns.Thank you guysClap 👏, Share & Comment the thoughts. Rate Limiting in Web Applications: Bug That Pays Your Rent was originally published in InfoSec Write-ups on Medium, where people are continuing the conversation by highlighting and responding to this story.
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“Package Hijack Meets GraphQL Goldmine: How One Recon Session Paid for My Caffeine Addiction”

Hey there!😁Continue reading on InfoSec Write-ups »
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NETWORK ENUMERATION — NMAP

Hey there! 👋 I’m currently working through the CPTS module from Hack The Box Academy and thought why not share my notes along the way…Continue reading on InfoSec Write-ups »
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Unleashing Nmap: Your Ultimate Guide to Network Exploration and Vulnerability HuntingContinue reading on InfoSec Write-ups » (https://infosecwriteups.com/mastering-nmap-the-ultimate-guide-to-network-scanning-and-vulnerability-detection-769d1d2eecff?source=rss------bug_bounty-5)
Day6 Recon: How to Find Exposed Cloud Storage & Hidden Third-Party Assets (With Real Demos) From…

Ever stumbled across a forgotten S3 bucket leaking sensitive files? Or maybe a misconfigured cloud asset that was never meant to be public…Continue reading on InfoSec Write-ups »
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Why AI Chatbot Security Testing Feels Like Social Engineering ??

Social engineering has always been about one thing: exploiting trust. For decades, attackers have refined the art of manipulating human…Continue reading on Medium »
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Day6 Recon: How to Find Exposed Cloud Storage & Hidden Third-Party Assets (With Real Demos)
 From…
https://infosecwriteups.com/day6-recon-how-to-find-exposed-cloud-storage-hidden-third-party-assets-with-real-demos-from-798219ba4d7f?source=rss------bug_bounty-5

Ever stumbled across a forgotten S3 bucket leaking sensitive files? Or maybe a misconfigured cloud asset that was never meant to be public…Continue reading on InfoSec Write-ups » (https://infosecwriteups.com/day6-recon-how-to-find-exposed-cloud-storage-hidden-third-party-assets-with-real-demos-from-798219ba4d7f?source=rss------bug_bounty-5)
Alright — I’ll expand your English writeup into a full, detailed, technical case study that works…

Go deep into exploitation methodologyContinue reading on CodeX »
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Social engineering has always been about one thing: exploiting trust. For decades, attackers have refined the art of manipulating human…Continue reading on Medium » (https://codewithvamp.medium.com/why-ai-chatbot-security-testing-feels-like-social-engineering-8812b7520660?source=rss------bug_bounty-5)