使用Rust语言破解滑块验证码的流程解析

在本文中，我们将通过 Rust 语言来破解滑块验证码，详细讲解如何获取验证码图片、计算滑块移动距离、生成滑动轨迹，并发送验证请求。

1. 下载验证码图片
   首先，使用 Rust 的 reqwest 库下载验证码的前景和背景图片。

rust

use reqwest::blocking::get;
use std::fs::File;
use std::io::copy;

fn download_image(url: &str, file_path: &str) -> Result<(), Box> {
let response = get(url)?;
let mut file = File::create(file_path)?;
copy(&mut response.bytes()?, &mut file)?;
println!("Downloaded image from {}", url);
Ok(())
}

fn main() {
download_image("https://captcha.com/bg.png", "background.png").unwrap();
download_image("https://captcha.com/fg.png", "foreground.png").unwrap();
}
2. 计算滑块移动距离
接下来，我们需要计算滑块的移动距离。这一步需要对前景和背景图片进行对比。

rust

use image::{DynamicImage, GenericImageView, GrayImage, Luma};

fn calculate_distance(bg_path: &str, fg_path: &str) -> Result<u32, Box> {
let bg_img = image::open(bg_path)?.into_luma8();
let fg_img = image::open(fg_path)?.into_luma8();

let (width, height) = bg_img.dimensions();

for x in 0..width {
    for y in 0..height {
        let bg_pixel = bg_img.get_pixel(x, y);
        let fg_pixel = fg_img.get_pixel(x, y);
        if bg_pixel != fg_pixel {
            println!("Slide distance is {}", x);
            return Ok(x);
        }
    }
}

Err("No difference found".into())

}

fn main() {
download_image("https://captcha.com/bg.png", "background.png").unwrap();
download_image("https://captcha.com/fg.png", "foreground.png").unwrap();
let distance = calculate_distance("background.png", "foreground.png").unwrap();
println!("Calculated distance: {}", distance);
}
3. 生成滑动轨迹
在这一部分，我们需要生成一个模拟的滑动轨迹。轨迹需要包含每一步的坐标和时间延迟，以模仿人类用户的真实行为。

rust

use rand::Rng;
use std::time::Duration;

fn generate_track(distance: u32) -> (Vec<(u32, u32, u32)>, u32) {
let mut track = Vec::new();
let mut current = 0;
let mut total_time = 0;

let mut rng = rand::thread_rng();

while current < distance {
    let move_distance = rng.gen_range(1..=3);
    current += move_distance;
    if current > distance {
        current = distance;
    }
    let time_delay = rng.gen_range(10..=30);
    total_time += time_delay;
    track.push((current, 0, total_time));
}

(track, total_time)

}

fn main() {
let distance = 100; // 假设距离为100
let (track, time_spent) = generate_track(distance);
println!("Generated track: {:?}", track);
println!("Time spent: {} ms", time_spent);
}
4. 发送验证请求
最后，我们将使用 reqwest 库发送带有滑动距离和轨迹的验证请求。

rust

use reqwest::blocking::Client;

fn send_verification(distance: u32, track: &[(u32, u32, u32)]) -> Result<(), Box> {
let client = Client::new();

let track_data: Vec<String> = track.iter()
    .map(|&(x, y, t)| format!("[{}, {}, {}]", x, y, t))
    .collect();

let data = format!("distance={}&track={}", distance, track_data.join(","));

let response = client.post("https://captcha.com/verify")
    .header("Content-Type", "application/x-www-form-urlencoded")
    .body(data)
    .send()?;

println!("Verification request sent. Response status: {}", response.status());
Ok(())

}更多内容联系1436423940

fn main() {
let distance = 100; // 假设距离为100
let (track, _) = generate_track(distance);
send_verification(distance, &track).unwrap();
}
5. 主程序整合
最后，我们将所有步骤整合起来，形成一个完整的破解流程。

rust

fn main() {
// 1. 下载验证码图片
download_image("https://captcha.com/bg.png", "background.png").unwrap();
download_image("https://captcha.com/fg.png", "foreground.png").unwrap();

// 2. 计算滑动距离
let distance = calculate_distance("background.png", "foreground.png").unwrap();

// 3. 生成滑动轨迹
let (track, _) = generate_track(distance);

// 4. 发送验证请求
send_verification(distance, &track).unwrap();

}