shiro自定义realm支持MD5算法认证(六)

1.1     散列算法

通常需要对密码 进行散列，常用的有md5、sha，

对md5密码，如果知道散列后的值可以通过穷举算法，得到md5密码对应的明文。

建议对md5进行散列时加salt（盐），进行加密相当 于对原始密码+盐进行散列。（盐就相当于加入一个随机数）

正常使用时散列方法：

在程序中对原始密码+盐进行散列，将散列值存储到数据库中，并且还要将盐也要存储在数据库中。

如果进行密码对比时，使用相同 方法，将原始密码+盐进行散列，进行比对。

1.2 MD5测试

package cn.qlq.authentication;

import org.apache.shiro.crypto.hash.Md5Hash;
import org.apache.shiro.crypto.hash.SimpleHash;

/**
 * 测试MD5算法
* @author: qlq
* @date :  2017年7月28日下午9:31:45
 */
public class MD5Test {

    public static void main(String[] args) {

        //原始 密码
        String source = "111111";
        //盐
        String salt = "qwerty";
        //散列次数
        int hashIterations = 2;
        //上边散列1次：f3694f162729b7d0254c6e40260bf15c
        //上边散列2次：36f2dfa24d0a9fa97276abbe13e596fc

        //构造方法中：
        //第一个参数：明文，原始密码
        //第二个参数：盐，通过使用随机数
        //第三个参数：散列的次数，比如散列两次，相当 于md5(md5(''))
        Md5Hash md5Hash = new Md5Hash(source, salt, hashIterations);
        String password_md5 =  md5Hash.toString();
        System.out.println(password_md5);

//        第二种方法
        //第一个参数：散列算法
        SimpleHash simpleHash = new SimpleHash("md5", source, salt, hashIterations);
        System.out.println(simpleHash.toString());

    }

}

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alt="" />

---------------------------------------------------------------------------------------   自定义realm支持散列算法------------------------------------------------------------------------------------------------------------------

新建realm(CustomRealmMd5)   如果未采用md5算法则不用红色部分第三个参数:

package cn.qlq.realm;

import org.apache.shiro.authc.AuthenticationException;
import org.apache.shiro.authc.AuthenticationInfo;
import org.apache.shiro.authc.AuthenticationToken;
import org.apache.shiro.authc.SimpleAuthenticationInfo;
import org.apache.shiro.authz.AuthorizationInfo;
import org.apache.shiro.realm.AuthorizingRealm;
import org.apache.shiro.subject.PrincipalCollection;
import org.apache.shiro.util.ByteSource;

/**
 * 自定义realm实现MD5散列算法加密
* @author: qlq
* @date :  2017年7月28日下午9:33:14
 */
public class CustomRealmMd5 extends AuthorizingRealm {

    // 设置realm的名称
    @Override
    public void setName(String name) {
        super.setName("customRealmMd5");
    }

    // 用于认证
    @Override
    protected AuthenticationInfo doGetAuthenticationInfo(
            AuthenticationToken token) throws AuthenticationException {

        // token是用户输入的
        // 第一步从token中取出身份信息
        String userCode = (String) token.getPrincipal();

        // 第二步：根据用户输入的userCode从数据库查询
        // ....

        // 如果查询不到返回null
        // 数据库中用户账号是zhangsansan
        /*
         * if(!userCode.equals("zhangsansan")){// return null; }
         */

        // 模拟从数据库查询到密码,散列值
        String password = "f3694f162729b7d0254c6e40260bf15c";
        // 从数据库获取salt
        String salt = "qwerty";
        //上边散列值和盐对应的明文：111111

        // 如果查询到返回认证信息AuthenticationInfo
        SimpleAuthenticationInfo simpleAuthenticationInfo = new SimpleAuthenticationInfo(
                userCode, password, ByteSource.Util.bytes(salt), this.getName());

        return simpleAuthenticationInfo;
    }

    // 用于授权
    @Override
    protected AuthorizationInfo doGetAuthorizationInfo(
            PrincipalCollection principals) {
        // TODO Auto-generated method stub
        return null;
    }

}

800x600

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0

7.8 磅
0
2

false
false
false

EN-US
ZH-CN
X-NONE

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在realm中配置凭证匹配器

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" alt="" />

测试:

// 自定义realm实现散列值匹配
        @Test
        public void testCustomRealmMd5() {

            // 创建securityManager工厂，通过ini配置文件创建securityManager工厂
            Factory<SecurityManager> factory = new IniSecurityManagerFactory(
                    "classpath:shiro-realm-md5.ini");

            // 创建SecurityManager
            SecurityManager securityManager = factory.getInstance();

            // 将securityManager设置当前的运行环境中
            SecurityUtils.setSecurityManager(securityManager);

            // 从SecurityUtils里边创建一个subject
            Subject subject = SecurityUtils.getSubject();

            // 在认证提交前准备token（令牌）
            // 这里的账号和密码 将来是由用户输入进去
            UsernamePasswordToken token = new UsernamePasswordToken("zhangsan",
                    "111111");

            try {
                // 执行认证提交
                subject.login(token);
            } catch (AuthenticationException e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }

            // 是否认证通过
            boolean isAuthenticated = subject.isAuthenticated();

            System.out.println("是否认证通过：" + isAuthenticated);

        }
        

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