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

MongoDB | Blog
MongoDB | Blog
V
V2EX
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
有赞技术团队
有赞技术团队
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
罗磊的独立博客
月光博客
月光博客
爱范儿
爱范儿
D
Docker
U
Unit 42
P
Proofpoint News Feed
I
InfoQ
腾讯CDC
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
L
LangChain Blog
V
Visual Studio Blog
IT之家
IT之家
Vercel News
Vercel News
G
Google Developers Blog
M
MIT News - Artificial intelligence
美团技术团队
The GitHub Blog
The GitHub Blog
阮一峰的网络日志
阮一峰的网络日志
MyScale Blog
MyScale Blog

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
Back to Code | Ep 10: The Security Vulnerability Factory
Mehmet TURAÇ · 2026-05-26 · via DEV Community

The 15-week technical battle of LogiFlow — a company waking up from the illusion created by artificial intelligence and returning to real engineering.

The Story

AI directly inserted the user-entered "Truck Plate Number" into a SQL query and HTML template. The doors to XSS and SQL Injection were opened.

It was a penetration tester who found it. During a routine security audit, she typed '; DROP TABLE trucks; -- into the plate number search field. The query executed. The table survived only because the database user didn't have DROP permissions — a lucky accident, not a design decision.

Technical Autopsy: AI's Innocent Trap

// AI uses string interpolation — DISASTER
const query = `SELECT * FROM trucks WHERE plate = '${userInput}'`;
await db.query(query);
// userInput: "'; DROP TABLE trucks; --"

Enter fullscreen mode Exit fullscreen mode

AI generates code that works. It fulfills the functional requirement: "search trucks by plate number." The code compiles, the tests pass (because the tests use clean data), and the feature ships.

But AI doesn't think adversarially. It doesn't imagine a user typing malicious SQL into a form field. It doesn't consider that the same input rendered in HTML could execute JavaScript in another user's browser.

The Human Shield

// Safe: Parameterized query
const query = `SELECT * FROM trucks WHERE plate = $1`;
await db.query(query, [userInput]);

Enter fullscreen mode Exit fullscreen mode

For XSS prevention:

// Never render raw user input in HTML
// ❌ Dangerous
element.innerHTML = userInput;

// ✅ Safe
element.textContent = userInput;

// Or use a sanitization library
import DOMPurify from 'dompurify';
element.innerHTML = DOMPurify.sanitize(userInput);

Enter fullscreen mode Exit fullscreen mode

Security is not a feature AI can "add later." It's a foundation of the architecture.

Lessons from Episode 10

1. Parameterized Queries: Never write SQL with string interpolation.

2. Input Validation: Every external input must be validated and sanitized at the boundary gate.

3. Security Review: Every piece of AI-generated code must be manually reviewed for security vulnerabilities.


This is Episode 10 of the "Back to Code" series. Next up: Episode 11 — The Legacy Code Mine.

Series: back.to.code · 2026