前言
最近公司的注册接口经常在半夜被恶意访问,从而引发短信盗刷事件,原本在手机号等参数校验通过后,注册接口会对图形验证码进行正确性校验,校验通过后再进行短信发送。通过短信发送记录发现我们的图形验证码很容易就被识别了,没有起到安全过滤的作用,同时对短信发送次数没有进行上限设置,所以这此短信盗刷问题我们做了以下解决方案。
一、图形验证码增加识别难度
1.1自定义图形验证码
我们需要实现一个生成图形验证码的工具类VerifyCodeImageUtil.java
import java.awt.Color;
import java.awt.Font;
import java.awt.Graphics;
import java.awt.Graphics2D;
import java.awt.RenderingHints;
import java.awt.geom.AffineTransform;
import java.awt.image.BufferedImage;
import java.io.IOException;
import java.util.Arrays;
import java.util.Random;
public class VerifyCodeImageUtil {
//去除I、l、1、0、o、O这这些容易混淆的字符
public static final String VERIFY_CODES = "23456789ABCDEFGHJKMNPQRSTUVWXYZabcdefghijkmnpqrstuvwxyz";
private static int WEIGHT=230;
private static int HIGH=100;
private static Random random = new Random();
/**
* 使用系统默认字符源生成验证码
* @param verifySize 验证码长度
* @return
*/
public static String generateVerifyCode(int verifySize){
return generateVerifyCode(verifySize, VERIFY_CODES);
}
/**
* 使用指定源生成验证码
* @param verifySize 验证码长度
* @param sources 验证码字符源
* @return
*/
public static String generateVerifyCode(int verifySize, String sources){
if(sources == null || sources.length() == 0){
sources = VERIFY_CODES;
}
int codesLen = sources.length();
Random rand = new Random(System.currentTimeMillis());
StringBuilder verifyCode = new StringBuilder(verifySize);
for(int i = 0; i < verifySize; i++){
verifyCode.append(sources.charAt(rand.nextInt(codesLen-1)));
}
return verifyCode.toString();
}
public static BufferedImage createVerifyImageNew(String verifyCode){
BufferedImage image=getImage(WEIGHT, HIGH, verifyCode);
return image;
}
/**
* 设置验证码图片
* @param w
* @param h
* @param code
* @return
*/
public static BufferedImage getImage(int w,int h,String code){
int verifySize = code.length();
BufferedImage image = new BufferedImage(w, h, BufferedImage.TYPE_INT_RGB);
Random rand = new Random();
Graphics2D g2 = image.createGraphics();
g2.setRenderingHint(RenderingHints.KEY_ANTIALIASING,RenderingHints.VALUE_ANTIALIAS_ON);
Color[] colors = new Color[5];
Color[] colorSpaces = new Color[] { Color.WHITE, Color.CYAN,
Color.GRAY, Color.LIGHT_GRAY, Color.MAGENTA, Color.ORANGE,
Color.PINK, Color.YELLOW };
float[] fractions = new float[colors.length];
for(int i = 0; i < colors.length; i++){
colors[i] = colorSpaces[rand.nextInt(colorSpaces.length)];
fractions[i] = rand.nextFloat();
}
Arrays.sort(fractions);
g2.setColor(Color.GRAY);// 设置边框色
g2.fillRect(0, 0, w, h);
Color c = getRandColor(200, 250);
g2.setColor(c);// 设置背景色
g2.fillRect(0, 2, w, h-4);
//绘制干扰线
Random random = new Random();
g2.setColor(getRandColor(10, 200));
for (int i = 0; i < 100; i++) {
//干扰线的条数
int x = random.nextInt(w - 10);
int y = random.nextInt(h - 20);
int xl = random.nextInt(10) + 1;
int yl = random.nextInt(20) + 1;
g2.drawLine(x, y, x + xl + 100, y + yl + 120);
}
// 添加噪点
float yawpRate = 0.20f;// 噪声率
int area = (int) (yawpRate * w * h);
for (int i = 0; i < area; i++) {
int x = random.nextInt(w);
int y = random.nextInt(h);
int rgb = getRandomIntColor();
image.setRGB(x, y, rgb);
}
shear(g2, w, h, c);
g2.setColor(getRandColor(100