惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

J
Java Code Geeks
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Blog — PlanetScale
Blog — PlanetScale
G
Google Developers Blog
Microsoft Security Blog
Microsoft Security Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
腾讯CDC
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Jina AI
Jina AI
雷峰网
雷峰网
T
Tailwind CSS Blog
爱范儿
爱范儿
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
酷 壳 – CoolShell
酷 壳 – CoolShell
大猫的无限游戏
大猫的无限游戏
月光博客
月光博客
博客园 - 司徒正美
I
InfoQ
Engineering at Meta
Engineering at Meta
Vercel News
Vercel News
小众软件
小众软件
U
Unit 42
Google DeepMind News
Google DeepMind News
D
DataBreaches.Net

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
When Analytics Said Nothing, Bots Were 90% of the Traffic
SysWP · 2026-05-11 · via DEV Community

For months, ChinaGlobalSouth was under constant attack.

The site was already protected by several well-known WordPress security tools: Wordfence, Sucuri, All In One Security. But the attacks kept coming. Cloudflare’s Under Attack Mode was being triggered almost every day, and the team could not understand why.

The problem was not simply that the site was “slow.”
The real question was: why was a news site constantly behaving like it was under siege?

At first, we looked at the usual sources: Google Analytics, Plausible, server logs, Cloudflare signals. Nothing looked obviously abnormal. Human traffic seemed normal. The site would stabilize for a while, then suddenly fall back into Cloudflare UAM again.

We installed Shield ( SysWP Shield), and the attacks dropped significantly. For a while, they even stopped. Shield was already creating adaptive rules on the fly, but something still felt incomplete: we were defending against symptoms without fully seeing the traffic pattern.

That is when we realized the core problem:

Traditional analytics tools are built to understand visitors. They are not built to clearly expose hostile request behavior.

So we started looking at the raw traffic differently. That work became Radar SysWP Radar.

And the picture changed completely.

More than 60% of the traffic was automated bot activity, including SEO spam attempts, fake browser user agents, scraping clients, and abnormal request patterns designed to overload, pollute, or manipulate the site.

Example attack patterns we found:

  1. SEO spam injection through WordPress search

Bots were injecting spam keywords into the ?s= search parameter, trying to get those terms indexed through the site’s own search result pages.

Examples included spam signatures like:

cleantalkorg2.ru
batmanapollo
Stock Market breaking news english
Психолог Онлайн
encoded external URLs
This was not normal search traffic. It was an attempt to use the site’s HTML as an SEO spam surface.

  1. Fake browser user agents

One repeated user agent looked like a browser, but it was not a real one:

Mozilla/5.0 AppleWebKit/605.1.15 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/605.1.15
The problem: AppleWebKit/605 belongs to Safari-like traffic. Real Chrome usually reports AppleWebKit/537.36, and the platform block was missing. This was a scraper pretending to be a browser, badly.

The volume was also increasing hour by hour.

  1. Non-browser HTTP clients

We also saw clients that should almost never appear as normal reader traffic on a news website:

Embarcadero URI Client/1.0
Go-http-client/2.0
These are automation clients, not typical human visitors.

Once Radar exposed the real traffic, we could train Shield’s AI with the correct signals. Instead of guessing, we could build rules based on actual attacker behavior.

The result: the attacks were identified, classified, and blocked much more effectively.

The lesson was simple:

You cannot protect what you cannot see.

Performance, security, and observability are no longer separate problems. On modern WordPress sites, especially publishers and high-traffic content sites, bot traffic can look like a hosting issue, an SEO issue, or a Cloudflare issue.

But sometimes the real problem is hidden in plain sight: thousands of requests pretending to be normal traffic.

Radar gave us visibility. SysWP Radar
Shield gave us enforcement. SysWP Shield
Together, they turned a confusing performance problem into a clear security response.