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

宝玉的分享
宝玉的分享
Engineering at Meta
Engineering at Meta
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
博客园 - 聂微东
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
Last Week in AI
Last Week in AI
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 三生石上(FineUI控件)
T
Tailwind CSS Blog
Apple Machine Learning Research
Apple Machine Learning Research
Hugging Face - Blog
Hugging Face - Blog
爱范儿
爱范儿
博客园 - 司徒正美
人人都是产品经理
人人都是产品经理
Jina AI
Jina AI
博客园 - 叶小钗
雷峰网
雷峰网
罗磊的独立博客
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - Franky
WordPress大学
WordPress大学
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
阮一峰的网络日志
阮一峰的网络日志
量子位

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
Detecting Dangerous Shell Commands in Rust — Building a S...
hiyoyo · 2026-05-15 · via DEV Community

All tests run on an 8-year-old MacBook Air.
All results from shipping 7 Mac apps as a solo developer. No sponsored opinion.
HiyokoHelper explains terminal commands and warns when they're dangerous. Building the danger detection layer was more interesting than I expected.

Why bother with local detection
The obvious approach: send the command to Gemini, ask if it's dangerous.
The problem: you want the warning to appear before the user runs the command — ideally as they're looking at it. Gemini latency (even fast) adds friction. A local check is instant.
Use local detection for obvious cases. Use Gemini for explanation and nuance.

What makes a command dangerous
The obvious patterns:
rustconst DANGEROUS_PATTERNS: &[&str] = &[
"rm -rf",
"rm -r /",
"> /dev/sda",
"dd if=",
":(){ :|:& };:", // fork bomb
"chmod -R 777 /",
"mv /* /dev/null",
"> /etc/passwd",
"curl | bash",
"wget | sh",
"sudo rm",
];

fn is_dangerous(command: &str) -> bool {
let lower = command.to_lowercase();
DANGEROUS_PATTERNS.iter().any(|p| lower.contains(p))
}
This catches the classics. It doesn't catch clever obfuscations. That's fine — you're building a helper, not a security product.

The severity levels
Not all dangerous commands are equally dangerous. A warning system with levels is more useful than binary safe/unsafe:
rust#[derive(Debug, Serialize)]
pub enum DangerLevel {
Safe,
Caution, // Potentially destructive, easily recoverable
Warning, // Destructive, hard to recover
Critical, // Irreversible, system-level impact
}
sudo rm -rf ~/Documents is Warning. rm -rf / is Critical. Different UI treatment. Different user friction.

What Gemini adds
Local detection catches patterns. Gemini catches context.
"Delete all log files older than 30 days" looks safe as a pattern. In the wrong directory with wrong permissions, it isn't. Gemini can reason about context in a way pattern matching can't.
The prompt I use:
Analyze this shell command for safety issues.
Command: {command}
Rate safety: safe / caution / warning / critical
Explain in one sentence what it does.
Explain in one sentence any risks.
Respond as JSON only.
Local check first for instant feedback. Gemini analysis for explanation. Two-layer approach.

The UX
Show danger level inline, next to the command. Don't block. Don't require confirmation. Just inform.
Users who copy dangerous commands from Stack Overflow often don't know they're dangerous. A clear, non-blocking warning before they run it is genuinely useful. A modal that blocks them is annoying.

If this was useful, a ❤️ helps more than you'd think — thanks!
Hiyoko PDF Vault → https://hiyokoko.gumroad.com/l/HiyokoPDFVault
X → @hiyoyok