本文实例为大家分享了java 微信公众号 安全模式消息解密的具体代码,供大家参考,具体内容如下
1.微信公众平台下载解密工具,导入项目中,根据demo解密消息,解密工具官方下载地址:点击打开 链接
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public static string streamtostring(httpservletrequest request) throws ioexception { bufferedreader reader = new bufferedreader( new inputstreamreader(request.getinputstream())); stringbuilder sb = new stringbuilder(); string line; try { while ((line = reader.readline()) != null ) { sb.append(line); } } catch (ioexception e) { e.printstacktrace(); } return sb.tostring(); }
/** * xml转为map集合 * * @param request * @param msg * @return * @throws ioexception * @throws documentexception */ public static map<string, string> xmltomap(httpservletrequest request, message msg) throws exception { saxreader reader = new saxreader(); string token = "" ; string encodingaeskey = "" ; string appid = "" ; //获取加密消息xml字符串 /* string format = "<xml><tousername><![cdata[touser]]></tousername><encrypt><![cdata[%1$s]]></encrypt></xml>"; document document = reader.read(request.getinputstream()); element rootelement = document.getrootelement(); element encrypt = rootelement.element("encrypt");*/ // string fromxml = string.format(format, encrypt.gettext()); string fromxml = streamtostring(request); //解密消息 wxbizmsgcrypt pc = new wxbizmsgcrypt(token, encodingaeskey, appid); //获得解密消息 string result = pc.decryptmsg(msg.getmsg_signature(), msg.gettimestamp(), msg.getnonce(), fromxml); map<string, string> map = new hashmap<>( 6 ); //将解密后的消息转为xml document doc = documenthelper.parsetext(result); element root = doc.getrootelement(); list<element> list = root.elements(); for (element e : list) { map.put(e.getname(), e.gettext()); } return map; } |
message实体类
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package com.caisin.weixin.domain;
import lombok.data;
@data public class message { private string signature; private string timestamp; private string nonce; private string openid; private string msg_signature; private string encrypt_type; } |
2.将jdk中 jdk\jre\lib\security\policy\unlimited目录中local_policy.jar和us_export_policy.jar两个文件拷贝到 jdk\jre\lib\security目录下
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。
原文链接:https://blog.csdn.net/Caisin_He/article/details/78852181
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