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

博客园 - 司徒正美
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
V2EX
MongoDB | Blog
MongoDB | Blog
博客园 - 叶小钗
博客园 - 三生石上(FineUI控件)
D
Docker
S
Secure Thoughts
B
Blog
M
MIT News - Artificial intelligence
P
Privacy International News Feed
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
A
Arctic Wolf
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
S
SegmentFault 最新的问题
WordPress大学
WordPress大学
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
T
Tenable Blog
Last Week in AI
Last Week in AI
A
About on SuperTechFans
T
Tor Project blog
Microsoft Azure Blog
Microsoft Azure Blog
Hugging Face - Blog
Hugging Face - Blog
月光博客
月光博客
L
Lohrmann on Cybersecurity
Security Latest
Security Latest
P
Proofpoint News Feed
有赞技术团队
有赞技术团队
P
Privacy & Cybersecurity Law Blog
Spread Privacy
Spread Privacy
AWS News Blog
AWS News Blog
P
Proofpoint News Feed
云风的 BLOG
云风的 BLOG
小众软件
小众软件
宝玉的分享
宝玉的分享
量子位
Forbes - Security
Forbes - Security
T
Threatpost
Google DeepMind News
Google DeepMind News
T
Threat Research - Cisco Blogs
H
Help Net Security
Help Net Security
Help Net Security
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
F
Full Disclosure
Hacker News: Ask HN
Hacker News: Ask HN
T
Troy Hunt's Blog
SecWiki News
SecWiki News
I
InfoQ
C
Cyber Attacks, Cyber Crime and Cyber Security
Stack Overflow Blog
Stack Overflow 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 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
Understanding CBC Mode: How Block Cipher Chaining Actually Works
Arashad Dodhiya · 2026-06-16 · via DEV Community

The missing piece most developers never learn about AES encryption.

Encryption Is More Than Just AES

Ask a developer what encryption algorithm their application uses, and you'll often hear:

"We use AES-256."

That's good—but incomplete.

Here's the thing: AES alone doesn't tell the whole story.

AES is only the encryption algorithm. To encrypt data larger than a single block, AES needs a mode of operation. One of the most widely used modes in the past was CBC (Cipher Block Chaining).

Understanding CBC is important not only for developers but also for security engineers, because many cryptographic attacks—such as CBC bit flipping and padding oracle attacks—stem from how CBC works.

By the end of this article, you'll understand:

  • What symmetric encryption is
  • What AES actually does
  • Why modes of operation exist
  • How CBC encryption and decryption work
  • The role of the Initialization Vector (IV)
  • Why CBC has limitations

Let's begin from the ground up.


What Is Symmetric Encryption?

Symmetric encryption uses the same secret key for both encryption and decryption.

Think of it like a house key:

  • You lock the door with one key.
  • You unlock it with the same key.

Encryption works similarly.

Plaintext + Secret Key → Ciphertext
Ciphertext + Same Key → Plaintext

Examples of symmetric encryption algorithms:

  • AES
  • DES
  • Blowfish

The challenge isn't just keeping the key secret.

It's also encrypting data securely.


What Is AES?

AES stands for Advanced Encryption Standard and is one of the most widely used encryption standards in the world. It uses the same secret key for encryption and decryption and supports key sizes of 128, 192, and 256 bits.

You'll encounter AES in:

  • HTTPS
  • VPNs
  • Disk encryption
  • Password managers
  • Secure messaging apps

But AES has an important limitation.

It encrypts fixed-size blocks.

For AES, that block size is always:

128 bits (16 bytes).

And this leads us to the next concept.


What Is a Block Cipher?

A block cipher encrypts data in fixed-size chunks called blocks.

Imagine the message:

HELLO WORLD THIS IS A SECRET MESSAGE

AES doesn't encrypt the whole message at once.

Instead, it splits it into blocks:

Block 1
Block 2
Block 3
...

Each block is encrypted separately.

Sounds simple.

But there's a problem.


Why Do We Need Modes of Operation?

Suppose two blocks contain identical data:

Block A = ADMIN
Block B = ADMIN

If we encrypt them independently using the same key, the ciphertext may also be identical.

An attacker could start spotting patterns.

And patterns are dangerous in cryptography.

To solve this problem, cryptographers created modes of operation.

Modes define how blocks interact with each other during encryption.

Common modes include:

  • ECB
  • CBC
  • CTR
  • GCM

Today we're focusing on CBC.


ECB vs CBC: Why CBC Was Introduced

ECB (Electronic Codebook)

ECB encrypts every block independently:

P1 → Encrypt → C1
P2 → Encrypt → C2
P3 → Encrypt → C3

The problem?

Identical plaintext blocks produce identical ciphertext blocks. This leaks patterns in the data.

CBC (Cipher Block Chaining)

CBC fixes this by linking blocks together.

Each plaintext block is combined with the previous ciphertext block before encryption.

As a result:

Every block depends on all previous blocks.

This greatly reduces pattern leakage.


What Is an Initialization Vector (IV)?

There's one problem.

The first block has no previous ciphertext block.

So what should CBC use?

The answer is the Initialization Vector (IV).

An IV is a random value used only for the first block. It ensures that encrypting the same plaintext twice with the same key produces different ciphertext.

Important facts:

✅ IV does not have to be secret

✅ IV should be unique and unpredictable

❌ Reusing IVs can weaken security

Think of the IV as a random starting point.


Real-World Analogy: Passing Secret Notes

Imagine a chain of people passing secret notes.

Each person doesn't just encrypt their message.

They also mix it with the previous person's encrypted message.

If one note changes, every note afterward changes too.

That's exactly how CBC works.

Hence the name:

Cipher Block Chaining.


How CBC Encryption Works

CBC encryption follows this formula:

C₁ = Encrypt(P₁ XOR IV)

C₂ = Encrypt(P₂ XOR C₁)

C₃ = Encrypt(P₃ XOR C₂)

Where:

  • P = Plaintext
  • C = Ciphertext
  • IV = Initialization Vector

Each block depends on the previous ciphertext block.

Encryption Flow

Plaintext Block 1
        ↓
XOR with IV
        ↓
AES Encrypt
        ↓
Ciphertext Block 1
        ↓
XOR with Plaintext Block 2
        ↓
AES Encrypt
        ↓
Ciphertext Block 2

A small change in one block affects all following ciphertext blocks.

This property is called chaining.


How CBC Decryption Works

Decryption reverses the process.

Formula:

P₁ = Decrypt(C₁) XOR IV

P₂ = Decrypt(C₂) XOR C₁

P₃ = Decrypt(C₃) XOR C₂

Notice something interesting?

The previous ciphertext block is required for decryption.

This design decision later enabled attacks such as:

  • CBC Bit Flipping
  • Padding Oracle Attacks

We'll cover those in future articles.


Why XOR Matters

XOR (Exclusive OR) is one of the most important operations in cryptography.

A special property of XOR:

A XOR B XOR B = A

This allows data to be mixed and later recovered during decryption.

Without XOR, CBC would not work.


Advantages of CBC Mode

CBC improved upon ECB in several ways:

✅ Hides repeating patterns

✅ Makes ciphertext less predictable

✅ Widely supported historically

✅ Strong confidentiality when implemented correctly

For many years, CBC was the standard choice in protocols and applications.


Limitations of CBC Mode

CBC isn't perfect.

Some limitations include:

❌ Requires padding

❌ Encryption cannot be parallelized efficiently

❌ Incorrect IV handling weakens security

❌ Provides confidentiality but not integrity

This last point is critical.

Encryption alone does not guarantee that ciphertext hasn't been modified.

That's why modern applications often use authenticated encryption modes such as AES-GCM, which provide both confidentiality and integrity.


Why CBC Still Matters Today

Even though modern systems increasingly prefer AES-GCM, CBC still appears in:

  • Legacy applications
  • Older TLS implementations
  • Custom encryption schemes
  • Historical vulnerability research

If you're a developer, understanding CBC helps you build safer systems.

If you're a security researcher, understanding CBC helps you recognize cryptographic weaknesses.

Because in security, understanding the design is often more important than memorizing the attack.


What's Next?

Now that you understand how CBC works, the next question becomes:

What happens if an attacker modifies the ciphertext?

That question leads directly to one of the most fascinating cryptographic attacks:

CBC Bit Flipping.

And that's exactly what we'll explore next.