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

cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
MyScale Blog
MyScale Blog
Microsoft Azure Blog
Microsoft Azure Blog
N
Netflix TechBlog - Medium
M
MIT News - Artificial intelligence
GbyAI
GbyAI
人人都是产品经理
人人都是产品经理
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园_首页
爱范儿
爱范儿
博客园 - 三生石上(FineUI控件)
L
LangChain Blog
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
云风的 BLOG
云风的 BLOG
Y
Y Combinator Blog
L
LINUX DO - 热门话题
Project Zero
Project Zero
罗磊的独立博客
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
MongoDB | Blog
MongoDB | Blog
Spread Privacy
Spread Privacy
S
Schneier on Security
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
J
Java Code Geeks
P
Palo Alto Networks Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
博客园 - Franky
T
Threat Research - Cisco Blogs
D
Docker
Hugging Face - Blog
Hugging Face - Blog
S
Securelist
Google DeepMind News
Google DeepMind News
T
The Exploit Database - CXSecurity.com
L
Lohrmann on Cybersecurity
月光博客
月光博客
V
Vulnerabilities – Threatpost
NISL@THU
NISL@THU
V
Visual Studio Blog
AWS News Blog
AWS News Blog
I
Intezer
T
The Blog of Author Tim Ferriss
P
Privacy International News Feed
T
Tor Project blog
F
Full Disclosure
P
Proofpoint News Feed
SecWiki News
SecWiki News
H
Heimdal Security Blog
Help Net Security
Help Net Security
The Hacker News
The Hacker News

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 Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Password Security Explained: Why Length Beats Complexity (and How Entropy Works)
Snappy Tools · 2026-04-28 · via DEV Community

Snappy Tools

Most password advice is wrong — or at least, not based on what actually makes passwords hard to crack. Rules like "use a capital letter, a number, and a symbol" produce passwords like P@ssword1, which is trivially cracked.

Here's what actually matters, and why.

What makes a password hard to crack?

Attackers don't guess passwords the way humans do. They use two main approaches:

  1. Dictionary attacks: A list of millions of common passwords, words, phrases, and patterns is hashed and compared against a stolen password database. password, 123456, P@ssword1, Tr0ub4dor&3 — all instantly cracked.

  2. Brute-force attacks: Every possible combination is tried systematically. The difficulty is determined by the size of the search space, which is measured in entropy.

What is password entropy?

Entropy (measured in bits) describes how many guesses an attacker would need, on average, to crack your password.

The formula:

Entropy = log₂(charset_size ^ password_length)
         = password_length × log₂(charset_size)

Enter fullscreen mode Exit fullscreen mode

For a password using only lowercase letters (26 characters), 8 characters long:

Entropy = 8 × log₂(26) = 8 × 4.7 = 37.6 bits

Enter fullscreen mode Exit fullscreen mode

For a random 12-character password with lowercase, uppercase, digits, and symbols (95 characters total):

Entropy = 12 × log₂(95) = 12 × 6.57 = 78.8 bits

Enter fullscreen mode Exit fullscreen mode

Each additional bit of entropy doubles the number of guesses needed. Going from 50 bits to 80 bits isn't a 60% improvement — it's 2³⁰ times harder (about a billion times harder).

Character sets and their entropy

Character set Pool size Bits per character
Digits only (0–9) 10 3.3
Lowercase only (a–z) 26 4.7
Lower + upper (a–z, A–Z) 52 5.7
Lower + upper + digits 62 5.95
All printable ASCII (+ symbols) 95 6.57
Diceware wordlist (7,776 words) 7,776 12.9 per word

The takeaway: Symbols and uppercase letters add entropy, but not as much as making the password longer. Adding one character always adds more entropy than adding one complexity rule.

Length vs complexity

Here's the comparison that changes how most developers think about passwords:

Password Character set Length Entropy
P@ssword1 95 9 59 bits (but dictionary-trivial)
correcthorsebatterystaple 26 25 117 bits
Random 12 chars (all ASCII) 95 12 78 bits
Random 16 chars (all ASCII) 95 16 105 bits

The passphrase correcthorsebatterystaple — four random common words — has more entropy than a 12-character mixed-complexity password, while being much easier to remember. This is the core insight behind XKCD 936.

Why the "1 capital, 1 number, 1 symbol" rule fails

The rule doesn't guarantee randomness. Humans apply it predictably:

  • Capital letter at the start
  • Number or symbol at the end
  • Often substituting a→@, i→1, e→3, o→0

These patterns are in every attacker's dictionary. A 10-character password that follows this rule has far less effective entropy than the formula suggests, because the actual search space is much smaller than 95^10.

NIST guidelines (NIST SP 800-63B, 2017): The US government's National Institute of Standards and Technology now explicitly recommends:

  • Minimum 8 characters for user-chosen passwords
  • Favour length over complexity rules
  • No mandatory complexity requirements
  • No mandatory periodic resets (unless breach is detected)
  • Check passwords against breached credential lists

What entropy level is "enough"?

Entropy Security level Notes
< 40 bits Weak Crackable in minutes with modern hardware
40–60 bits Marginal Adequate for low-stakes accounts
60–80 bits Good Typical "strong" password
80–100 bits Very good Secure for most purposes
100+ bits Excellent Future-proof

Modern password crackers using GPUs can attempt billions of hashes per second for fast hash functions like MD5, but only thousands per second for bcrypt with a high cost factor. For bcrypt, even 60-bit entropy is practically unbreakable. For systems using fast hashes (a security mistake in itself), you need higher entropy.

The practical recommendation

For generated passwords (most use cases):

  • Use a random password generator
  • Target 16+ characters with the full ASCII charset (~105 bits)
  • If you need to remember it, use a passphrase of 5+ random words (~65 bits)

For the password manager master password:

  • Use a 6+ word Diceware passphrase (~77 bits)
  • Write it down and store it securely — it's the only password you need to remember

Generating strong passwords

The Password Generator at SnappyTools generates random passwords with configurable length (8–128 characters), character sets (lowercase, uppercase, digits, symbols), and an option to exclude ambiguous characters like 0, O, l, and 1. It shows a strength score and entropy estimate for each generated password. All generation happens in your browser — no passwords are sent to any server.


A note on password managers

None of this matters if you're reusing passwords. The real security risk for most accounts isn't brute-force cracking — it's credential stuffing, where attackers take a leaked email/password pair from one breach and try it on hundreds of other services.

A password manager (1Password, Bitwarden, Dashlane) solves both problems: it generates a different random password for every site and remembers them all. The only password worth memorising is the master password.

High entropy + unique per site + stored in a password manager = genuinely secure.