
Research
/Security News
npm Package Uses Prompt Injection and Token Flooding to Disrupt AI Malware Scanners
A new npm package tests AI malware scanners with prompt injection, safety-triggering comments, context flooding, and obfuscated JavaScript.
@cloudflare/sandbox
Advanced tools
Build secure, isolated code execution environments on Cloudflare.
The Sandbox SDK lets you run untrusted code safely in isolated containers. Execute commands, manage files, run background processes, and expose services β all from your Workers applications.
Perfect for AI code execution, interactive development environments, data analysis platforms, CI/CD systems, and any application that needs secure code execution at the edge.
Create a new Sandbox SDK project using the minimal template:
npm create cloudflare@latest -- my-sandbox --template=cloudflare/sandbox-sdk/examples/minimal
cd my-sandbox
Start the development server:
npm run dev
Note: First run builds the Docker container (2-3 minutes). Subsequent runs are much faster.
Test the endpoints:
# Execute Python code
curl http://localhost:8787/run
# File operations
curl http://localhost:8787/file
Deploy your Worker and container:
npx wrangler deploy
Wait for provisioning: After first deployment, wait 2-3 minutes before making requests.
π View the complete getting started guide for detailed instructions and explanations.
import { getSandbox, proxyToSandbox, type Sandbox } from '@cloudflare/sandbox';
export { Sandbox } from '@cloudflare/sandbox';
type Env = {
Sandbox: DurableObjectNamespace<Sandbox>;
};
export default {
async fetch(request: Request, env: Env): Promise<Response> {
// Required for preview URLs
const proxyResponse = await proxyToSandbox(request, env);
if (proxyResponse) return proxyResponse;
const url = new URL(request.url);
const sandbox = getSandbox(env.Sandbox, 'my-sandbox');
// Execute Python code
if (url.pathname === '/run') {
const result = await sandbox.exec('python3 -c "print(2 + 2)"');
return Response.json({ output: result.stdout, success: result.success });
}
// Work with files
if (url.pathname === '/file') {
await sandbox.writeFile('/workspace/hello.txt', 'Hello, Sandbox!');
const file = await sandbox.readFile('/workspace/hello.txt');
return Response.json({ content: file.content });
}
return new Response('Try /run or /file');
}
};
sandbox.tunnels.get(port) exposes a service running inside the
sandbox on a *.trycloudflare.com URL. No Cloudflare account or DNS
setup required β cloudflared opens a persistent QUIC connection to
Cloudflare's edge and Cloudflare hands back a hostname.
// Inside a Worker with an RPC-transport sandbox:
const tunnel = await sandbox.tunnels.get(8080);
console.log(tunnel.url);
// β https://random-words-here.trycloudflare.com
// Repeated calls for the same port return the same record:
const same = await sandbox.tunnels.get(8080);
console.log(same.url === tunnel.url); // true
// Tear down by port number or by the record:
await sandbox.tunnels.destroy(8080);
// or: await sandbox.tunnels.destroy(tunnel);
get() is idempotent: it consults a per-sandbox cache in Durable
Object storage, returns the cached record on a hit, and only spawns a
fresh cloudflared process on a miss. list() returns every cached
tunnel.
Notes:
tunnels
stub throws "RPC transport required".get(port) after a restart returns a fresh record.get() resolves.*.trycloudflare.com buffers text/event-stream responses.
WebSockets work fine.π Full Documentation
*.trycloudflare.com URLs via sandbox.tunnels.get(port)We welcome contributions from the community! See CONTRIBUTING.md for guidelines on:
This repository contains the SDK source code. Quick start:
# Clone the repo
git clone https://github.com/cloudflare/sandbox-sdk
cd sandbox-sdk
# Install dependencies
npm install
# Run tests
npm test
# Build the project
npm run build
# Type checking and linting
npm run check
See the examples directory for complete working examples:
Shell and Editor tools for OpenAI Agents SDKBeta - The SDK is in active development. APIs may change before v1.0.
FAQs
A sandboxed environment for running commands
The npm package @cloudflare/sandbox receives a total of 138,975 weekly downloads. As such, @cloudflare/sandbox popularity was classified as popular.
We found that @cloudflare/sandbox demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Β It has 36 open source maintainers collaborating on the project.
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