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

aimingoo的专栏
aimingoo的专栏
宝玉的分享
宝玉的分享
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
WordPress大学
WordPress大学
V
V2EX
Apple Machine Learning Research
Apple Machine Learning Research
J
Java Code Geeks
腾讯CDC
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Engineering at Meta
Engineering at Meta
L
LangChain Blog
Jina AI
Jina AI
博客园 - 叶小钗
B
Blog RSS Feed
Recent Announcements
Recent Announcements
H
Help Net Security
小众软件
小众软件
大猫的无限游戏
大猫的无限游戏
B
Blog
云风的 BLOG
云风的 BLOG
Blog — PlanetScale
Blog — PlanetScale
D
DataBreaches.Net
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
罗磊的独立博客

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
How to Check If an Online JSON Formatter Uploads Your Data
JSON-LEE · 2026-06-15 · via DEV Community

JSON-LEE

Most developers have done this at least once.

You get a messy API response.

You need to inspect a JWT.

You have a webhook payload, a log object, or a config file that is hard to read.

So you open a JSON formatter, paste the content, and move on.

That habit is convenient. But it also deserves a second look.

Not every JSON tool behaves the same way. Some tools process your input entirely in the browser. Some send content to a server. Some store snippets for sharing. Some extensions have permissions that are broader than you expect.

The problem is not that every online formatter is unsafe.

The problem is that you often do not know what happens after you paste.

What you should avoid pasting blindly

Before using any random online tool, be careful with:

production JWTs
API responses containing user data
logs from real systems
config files
webhook payloads
database URLs
cloud keys
internal endpoints
tenant IDs
error traces from production systems

A JSON payload does not need to contain an obvious password to be sensitive.

Sometimes the risky part is context: user IDs, internal URLs, tokens, customer data, or system structure.

A quick DevTools check

You can do a basic check with your browser’s DevTools.

Open the JSON tool.
Open DevTools.
Go to the Network tab.
Clear existing requests.
Paste a harmless test JSON first.
Run format, validate, diff, decode, or whatever action the tool provides.
Watch the Network tab.
Look for POST, PUT, fetch, XHR, or beacon requests after your input.
Inspect request payloads if they exist.
Check whether your pasted JSON appears in any request.

Do this with harmless test data first.

If the tool uploads the test JSON, do not paste production content into it.

What to look for

A few signs deserve attention:

POST requests after you paste or click format
request bodies containing your JSON
share-link features that save snippets
server-side validation APIs
analytics events that include pasted content
extension background requests that are not clearly explained

Analytics by itself is not the same thing as pasted-content upload.

A tool can have normal page analytics and still avoid sending your JSON payload.

The important question is narrower:

Is my pasted content included in a network request?

That is what you are trying to verify.

Browser extensions need the same scrutiny

Extensions can be useful, but they deserve the same level of inspection.

A JSON formatter extension may need content scripts or host access to detect JSON pages and format them. That does not automatically mean it is malicious.

But the extension should explain:

why each permission exists
whether it loads remote code
whether it injects ads or affiliate scripts
whether it uploads JSON content
where the source code can be audited

If an extension handles developer data, its permission model should not be vague.

How SafeJSON approaches this

I built SafeJSON around one idea:

Do not ask developers to trust a privacy claim. Give them a way to verify it.

SafeJSON’s core tools process pasted JSON locally in the browser and do not upload pasted content for core operations.

That includes common workflows like formatting, validating, viewing, parsing, JSON Diff, JWT decoding, JSONPath queries, and schema validation.

The important part is not just the claim.

The important part is that you can check it yourself.

Open DevTools → Network, paste JSON, run the tool, and inspect whether pasted content is uploaded.

I wrote a full step-by-step guide here:

https://www.safejson.dev/security/check-json-formatter-upload

There is also a dedicated verification page:

https://www.safejson.dev/privacy/verify-local-processing

And for the browser extension permissions:

https://www.safejson.dev/extension/permissions

Final thought

The goal is not to stop using web tools.

The goal is to stop pasting sensitive developer data into tools whose behavior you have never checked.

A quick Network tab check takes less than a minute.

For production JSON, JWTs, logs, configs, and API payloads, that minute is worth it.