@xiaobaidadada/node-tuntap2-wintun

node-tuntap2

a opensource, asynchronized, napi-based, business friendly tuntap device driver addon for nodejs.

install

npm install @xiaobaidadada/node-tuntap2-wintun

TL; DR

const {Tun, Tap} = require('@xiaobaidadada/node-tuntap2-wintun');

try {
    const tun = new Tun();
    tun.mtu = 1400;
    tun.ipv4 = '10.0.0.100/24';
    tun.ipv6 = 'abcd:1:2:3::/64';
    tun.on('data', (buf) => {
        console.log('received:', buf);
    })
    tun.isUp = true;
    console.log(`created tun: ${tun.name}, ip: ${tun.ipv4}, ${tun.ipv6}, mtu: ${tun.mtu}`);
    tun.release();

}
catch(e) {
	console.log('error: ', e);
	process.exit(0);
}

// widnwos 
const {Wintun} = require("@xiaobaidadada/node-tuntap2-wintun")

const p2 = Wintun.get_wintun_dll_path();
Wintun.wintunSetPath(p2);
Wintun.wintunInit();
Wintun.wintunSetIpv4("tuntap2","10.6.7.7",24);
Wintun.wintunUpOn((buf)=>{
    // 解析 IP 头部
    const version = buf[0] >> 4;
    const headerLength = (buf[0] & 0x0f) * 4;
    const protocol = buf[9];
    if (version !== 4) {
        console.log('不是 IPv4');
        return;
    }
    const sourceIP = buf.slice(12, 16).join('.');
    const destIP = buf.slice(16, 20).join('.');
    console.log(`Source IP: ${sourceIP}`);
    console.log(`Destination IP: ${destIP}`);

    // console.log("数据:"+buf);
});
// Wintun.wintunSend(sessionHandle,buffer);

Note: 目前仅支持linux和windows ；本项目使用了预构建，建议使用Node18，不需要编译而是从github下载编译好的文件，如果你电脑上的网络安装的时候无法访问github则会退化成编译。在windows上编译可能遇到的问题可以参考这个链接https://blog.csdn.net/jjocwc/article/details/134152602

Note: Reading properties requires your interface in up status.

Note: For a Tun device, mac property is readonly.

Node: Please make sure the first 8bits is 00 for setting the mac address of a Tap device.

Streams API

The tuntap object supports Node.js Duplex interface. However, almost all streams api methods is a wrapper of fs.ReadStream or fs.WriteStream. The writing and events are based on them.

Performance

The writing and reading of tuntap is based on nodejs fs and readingStream. This means these methods is running on libuv threads pool. Please set the threads pool size properly for your application.