使用Lua语言破解滑块验证码的完整流程解析

本文将使用 Lua 语言来破解滑块验证码，带领大家一步步实现验证码破解，包括获取图片、计算滑块移动距离、生成滑动轨迹等。

1. 下载验证码图片
   首先，我们要获取滑块的前景图片和背景图片。使用 Lua 中的 socket.http 来进行 HTTP 请求并下载图片。

lua

local http = require("socket.http")
local ltn12 = require("ltn12")

function download_image(url, file)
local response_body = {}
local res, code = http.request{
url = url,
sink = ltn12.sink.table(response_body)
}

if code == 200 then
    local file_handler = io.open(file, "wb")
    file_handler:write(table.concat(response_body))
    file_handler:close()
    print("Downloaded: " .. file)
else
    print("Failed to download image. Status code: " .. code)
end

end

download_image("https://captcha.com/bg.png", "background.png")
download_image("https://captcha.com/fg.png", "foreground.png")
2. 计算滑块移动距离
接下来，我们需要对比前景图和背景图来确定滑块的移动距离。Lua 的 image 库可以帮助我们加载图片并进行对比。

lua

local image = require("image")

function calculate_distance(bg_path, fg_path)
local bg_img = image.load(bg_path)
local fg_img = image.load(fg_path)

for x = 1, bg_img.width do
    for y = 1, bg_img.height do
        local bg_pixel = bg_img:get_pixel(x, y)
        local fg_pixel = fg_img:get_pixel(x, y)
        if bg_pixel ~= fg_pixel then
            print("Slide distance: " .. x)
            return x
        end
    end
end

print("No difference found between images.")

end

local distance = calculate_distance("background.png", "foreground.png")
3. 生成滑动轨迹
生成滑动轨迹是破解滑块验证码的关键步骤之一，目的是让服务器相信我们模拟了人类的行为。轨迹将包含滑动的每一帧的坐标和时间间隔。

lua

function generate_track(distance)
local track = {}
local current_position = 0
local random_delay = function() return math.random(10, 30) end

while current_position < distance do
    local move_step = math.random(1, 3)
    current_position = current_position + move_step
    if current_position > distance then
        current_position = distance
    end
    table.insert(track, {current_position, 0, random_delay()})
end

return track

end

local track = generate_track(distance)
4. 发送验证请求
在最后一步，我们将生成的滑动轨迹发送到服务器，进行验证。在 Lua 中，我们可以继续使用 socket.http 来发送 HTTP 请求。

lua

function send_verification(distance, track)
local track_data = "["
for i, step in ipairs(track) do
track_data = track_data .. string.format("[%d, %d, %d]", step[1], step[2], step[3])
if i < #track then
track_data = track_data .. ","
end
end
track_data = track_data .. "]"

local body = string.format("distance=%d&track=%s", distance, track_data)

local response_body = {}
local res, code = http.request{
    url = "https://captcha.com/verify",
    method = "POST",
    headers = {
        ["Content-Type"] = "application/x-www-form-urlencoded",
        ["Content-Length"] = tostring(#body)
    },
    source = ltn12.source.string(body),
    sink = ltn12.sink.table(response_body)
}

print("Verification response: " .. code)

end

send_verification(distance, track)
5. 整合所有步骤
最后，我们将所有的步骤组合在一起，形成一个完整的滑块验证码破解程序。

lua

local http = require("socket.http")
local ltn12 = require("ltn12")
local image = require("image")

-- 下载图片
function download_image(url, file)
local response_body = {}
local res, code = http.request{
url = url,
sink = ltn12.sink.table(response_body)
}

if code == 200 then
    local file_handler = io.open(file, "wb")
    file_handler:write(table.concat(response_body))
    file_handler:close()
    print("Downloaded: " .. file)
else
    print("Failed to download image. Status code: " .. code)
end

end

-- 计算滑动距离
function calculate_distance(bg_path, fg_path)
local bg_img = image.load(bg_path)
local fg_img = image.load(fg_path)

for x = 1, bg_img.width do
    for y = 1, bg_img.height do
        local bg_pixel = bg_img:get_pixel(x, y)
        local fg_pixel = fg_img:get_pixel(x, y)
        if bg_pixel ~= fg_pixel then
            return x
        end
    end
end

print("No difference found between images.")

end

-- 生成滑动轨迹
function generate_track(distance)
local track = {}
local current_position = 0
local random_delay = function() return math.random(10, 30) end

while current_position < distance do
    local move_step = math.random(1, 3)
    current_position = current_position + move_step
    if current_position > distance then
        current_position = distance
    end
    table.insert(track, {current_position, 0, random_delay()})
end

return track

end

-- 发送验证请求
function send_verification(distance, track)
local track_data = "["
for i, step in ipairs(track) do
track_data = track_data .. string.format("[%d, %d, %d]", step[1], step[2], step[3])
if i < #track then
track_data = track_data .. ","
end
end
track_data = track_data .. "]"

local body = string.format("distance=%d&track=%s", distance, track_data)

local response_body = {}
local res, code = http.request{
    url = "https://captcha.com/verify",
    method = "POST",
    headers = {
        ["Content-Type"] = "application/x-www-form-urlencoded",
        ["Content-Length"] = tostring(#body)
    },
    source = ltn12.source.string(body),
    sink = ltn12.sink.table(response_body)
}更多内容联系1436423940

print("Verification response: " .. code)

end

-- 主函数
function main()
-- 1. 下载验证码图片
download_image("https://captcha.com/bg.png", "background.png")
download_image("https://captcha.com/fg.png", "foreground.png")

-- 2. 计算滑动距离
local distance = calculate_distance("background.png", "foreground.png")

-- 3. 生成滑动轨迹
local track = generate_track(distance)

-- 4. 发送验证请求
send_verification(distance, track)

end

main()