使用Go语言破解滑块验证码的完整流程
在本文中，我们将通过 Go 语言破解滑块验证码，逐步讲解如何计算滑块移动距离、生成轨迹并提交验证请求。
- 下载验证码图片
使用 Go 的 net/http 库来获取验证码图片，并保存到本地。
package main
import (
"fmt"
"io/ioutil"
"net/http"
"os"
)
func downloadImage(url string, filePath string) error {
resp, err := http.Get(url)
if err != nil {
return err
}
defer resp.Body.Close()
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
return err
}
err = ioutil.WriteFile(filePath, body, 0644)
if err != nil {
return err
}
fmt.Printf("Downloaded image from %s\n", url)
return nil
}
func main() {
downloadImage("https://captcha.com/bg.png", "background.png")
downloadImage("https://captcha.com/fg.png", "foreground.png")
}
2. 计算滑块移动距离
为了计算滑块移动的距离，我们需要将前景图片和背景图片进行对比。Go 语言的 image 库可以帮助我们处理图像操作。
package main
import (
"fmt"
"image"
"image/jpeg"
"os"
"golang.org/x/image/draw"
)
func calculateDistance(bgPath, fgPath string) (int, error) {
bgFile, err := os.Open(bgPath)
if err != nil {
return 0, err
}
defer bgFile.Close()
fgFile, err := os.Open(fgPath)
if err != nil {
return 0, err
}
defer fgFile.Close()
bgImg, err := jpeg.Decode(bgFile)
if err != nil {
return 0, err
}
fgImg, err := jpeg.Decode(fgFile)
if err != nil {
return 0, err
}
bounds := bgImg.Bounds()
for x := 0; x < bounds.Max.X; x++ {
for y := 0; y < bounds.Max.Y; y++ {
bgPixel := bgImg.At(x, y)
fgPixel := fgImg.At(x, y)
if !isPixelSimilar(bgPixel, fgPixel) {
fmt.Printf("Slide distance is %d\n", x)
return x, nil
}
}
}
return 0, nil
}
func isPixelSimilar(a, b image.Color) bool {
// 简单的颜色比较
return a == b
}
func main() {
downloadImage("https://captcha.com/bg.png", "background.png")
downloadImage("https://captcha.com/fg.png", "foreground.png")
distance, err := calculateDistance("background.png", "foreground.png")
if err != nil {
fmt.Println("Error calculating distance:", err)
return
}
fmt.Println("Calculated distance:", distance)
}
3. 生成滑动轨迹
滑动轨迹应该是随机的，并且模仿真实用户的行为。在此，我们生成一个轨迹数据，包含 x 坐标的变化和时间延迟。
package main
import (
"fmt"
"math/rand"
"time"
)
func generateTrack(distance int) ([][3]int, int) {
rand.Seed(time.Now().UnixNano())
track := make([][3]int, 0)
current := 0
totalTime := 0
for current < distance {
move := rand.Intn(3) + 1
current += move
if current > distance {
current = distance
}
timeDelay := rand.Intn(20) + 10
totalTime += timeDelay
track = append(track, [3]int{current, 0, totalTime})
}
return track, totalTime
}
func main() {
track, timeSpent := generateTrack(100)
fmt.Printf("Generated track: %v\n", track)
fmt.Printf("Time spent: %d ms\n", timeSpent)
}
4. 发送验证请求
我们使用 Go 的 net/http 库发送带有滑动距离和轨迹的验证请求。
package main
import (
"bytes"
"fmt"
"net/http"
"strings"
)
func sendVerification(distance int, track [][3]int) error {
trackStr := make([]string, 0, len(track))
for _, t := range track {
trackStr = append(trackStr, fmt.Sprintf("[%d,%d,%d]", t[0], t[1], t[2]))
}
trackData := strings.Join(trackStr, ",")
data := fmt.Sprintf("distance=%d&track=%s", distance, trackData)
resp, err := http.Post("https://captcha.com/verify", "application/x-www-form-urlencoded", bytes.NewBufferString(data))
if err != nil {
return err
}
defer resp.Body.Close()
fmt.Println("Verification request sent. Response status:", resp.Status)
return nil
}
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func main() {
distance := 100
track, _ := generateTrack(distance)
sendVerification(distance, track)
}
5. 主程序整合
最后，我们将所有步骤整合起来，形成一个完整的流程。
package main
func main() {
// 1. 下载验证码图片
downloadImage("https://captcha.com/bg.png", "background.png")
downloadImage("https://captcha.com/fg.png", "foreground.png")
// 2. 计算滑动距离
distance, err := calculateDistance("background.png", "foreground.png")
if err != nil {
fmt.Println("Error calculating distance:", err)
return
}
// 3. 生成滑动轨迹
track, _ := generateTrack(distance)
// 4. 发送验证请求
err = sendVerification(distance, track)
if err != nil {
fmt.Println("Error sending verification:", err)
}
}
