要通过 Nginx 实现滑块加图片的人机验证，你可以利用 OpenResty 和 Lua 脚本来生成并处理滑块验证码。滑块验证码的基本流程包括以下步骤：
以下是一个示例的实现步骤：
首先，安装 OpenResty 和必要的 Lua 库。
# For Debian/Ubuntu
sudo apt-get install openresty
# For CentOS/RHEL
sudo yum install openresty
# Install LuaRocks
sudo apt-get install luarocks
sudo luarocks install lua-resty-string
sudo luarocks install lua-resty-random
sudo luarocks install gd
编辑你的 nginx.conf 文件，添加以下配置：
worker_processes 1;
events {
worker_connections 1024;
}
http {
include mime.types;
default_type application/octet-stream;
server {
listen 8080;
server_name localhost;
location /captcha {
content_by_lua_file /path/to/your/captcha.lua;
}
location /validate {
content_by_lua_file /path/to/your/validate.lua;
}
}
}
captcha.lua：生成带有缺口的图片和缺口图片
local gd = require "resty.gd"
local random = require "resty.random"
local str = require "resty.string"
local function generate_code()
return math.random(100, 300) -- 随机生成一个缺口位置
end
local function create_captcha()
local img = gd.createFromPng("/path/to/your/background.png")
local img_width, img_height = img:sizeXY()
local gap_size = 50
local gap_x = generate_code()
local gap_y = img_height / 2 - gap_size / 2
local gap_img = gd.createTrueColor(gap_size, gap_size)
gap_img:copy(img, 0, 0, gap_x, gap_y, gap_size, gap_size)
local white = img:colorAllocate(255, 255, 255)
img:filledRectangle(gap_x, gap_y, gap_x + gap_size, gap_y + gap_size, white)
local img_str = img:pngStr()
local gap_img_str = gap_img:pngStr()
return img_str, gap_img_str, gap_x
end
local img_str, gap_img_str, gap_x = create_captcha()
ngx.header.content_type = "application/json"
ngx.say('{"background":"'.. ngx.encode_base64(img_str) ..'", "gap":"'.. ngx.encode_base64(gap_img_str) ..'", "gap_x":'.. gap_x ..'}')
validate.lua：验证用户滑动的位置是否正确
local cjson = require "cjson"
ngx.req.read_body()
local args = ngx.req.get_post_args()
local user_gap_x = tonumber(args.gap_x)
-- 从 Redis 或其他存储中获取正确的 gap_x
local correct_gap_x = 150 -- 示例值，实际应从存储中获取
if math.abs(user_gap_x - correct_gap_x) < 5 then
ngx.say(cjson.encode({ success = true }))
else
ngx.say(cjson.encode({ success = false }))
end
前端使用 JavaScript 实现滑块和图片展示：
DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>滑块验证码title>
<style>
.captcha-container {
position: relative;
width: 300px;
height: 150px;
}
.captcha-image {
width: 100%;
height: 100%;
}
.slider {
position: absolute;
bottom: 10px;
left: 0;
width: 50px;
height: 50px;
background-color: #fff;
border: 1px solid #ccc;
cursor: pointer;
}
style>
head>
<body>
<div class="captcha-container" id="captcha-container">
<img src="" id="captcha-image" class="captcha-image">
<div id="slider" class="slider">div>
div>
<script>
async function loadCaptcha() {
const response = await fetch('/captcha');
const data = await response.json();
const bgImage = 'data:image/png;base64,' + data.background;
const gapImage = 'data:image/png;base64,' + data.gap;
document.getElementById('captcha-image').src = bgImage;
// Render the gap image in a canvas or any other way
return data.gap_x;
}
document.addEventListener('DOMContentLoaded', async () => {
const correctGapX = await loadCaptcha();
const slider = document.getElementById('slider');
let isDragging = false;
let startX;
slider.addEventListener('mousedown', (event) => {
isDragging = true;
startX = event.clientX;
});
document.addEventListener('mousemove', (event) => {
if (isDragging) {
const moveX = event.clientX - startX;
slider.style.transform = `translateX(${moveX}px)`;
}
});
document.addEventListener('mouseup', async (event) => {
if (isDragging) {
isDragging = false;
const moveX = event.clientX - startX;
const response = await fetch('/validate', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ gap_x: moveX })
});
const result = await response.json();
if (result.success) {
alert('验证成功');
} else {
alert('验证失败');
}
}
});
});
script>
body>
html>
通过这些步骤，你可以实现一个基本的滑块验证码系统。如果需要更复杂和高效的验证码系统，可以考虑使用现有的解决方案或服务。