SpringBoot接口数据加解密
JeffDuuuuu 人气:0这日,刚撸完2行代码,正准备掏出手机摸鱼放松放松,只见老大朝我走过来,并露出一个”善意“的微笑,兴伟呀,xx项目有于安全问题,需要对接口整体进行加密处理,你这方面比较有经验,就给你安排上了哈,看这周内提测行不...,额,摸摸头上飘摇着而稀疏的长发,感觉我爱了。
和产品、前端同学对外需求后,梳理了相关技术方案, 主要的需求点如下:
- 尽量少改动,不影响之前的业务逻辑;
- 考虑到时间紧迫性,可采用对称性加密方式,服务需要对接安卓、IOS、H5三端,另外考虑到H5端存储密钥安全性相对来说会低一些,故分针对H5和安卓、IOS分配两套密钥;
- 要兼容低版本的接口,后面新开发的接口可不用兼容;
- 接口有GET和POST两种接口,需要都要进行加解密;
需求解析:
- 服务端、客户端和H5统一拦截加解密,网上有成熟方案,也可以按其他服务中实现的加解密流程来搞;
- 使用AES放松加密,考虑到H5端存储密钥安全性相对来说会低一些,故分针对H5和安卓、IOS分配两套密钥;
- 本次涉及客户端和服务端的整体改造,经讨论,新接口统一加 /secret/ 前缀来区分
按本次需求来简单还原问题,定义两个对象,后面用得着,
用户类:
@Data public class User { private Integer id; private String name; private UserType userType = UserType.COMMON; @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") private LocalDateTime registerTime; }
用户类型枚举类:
@Getter @JsonFormat(shape = JsonFormat.Shape.OBJECT) public enum UserType { VIP("VIP用户"), COMMON("普通用户"); private String code; private String type; UserType(String type) { this.code = name(); this.type = type; } }
构造一个简单的用户列表查询示例:
@RestController @RequestMapping(value = {"/user", "/secret/user"}) public class UserController { @RequestMapping("/list") ResponseEntity<List<User>> listUser() { List<User> users = new ArrayList<>(); User u = new User(); u.setId(1); u.setName("boyka"); u.setRegisterTime(LocalDateTime.now()); u.setUserType(UserType.COMMON); users.add(u); ResponseEntity<List<User>> response = new ResponseEntity<>(); response.setCode(200); response.setData(users); response.setMsg("用户列表查询成功"); return response; } }
调用:localhost:8080/user/list
查询结果如下,没毛病:
{ "code": 200, "data": [{ "id": 1, "name": "boyka", "userType": { "code": "COMMON", "type": "普通用户" }, "registerTime": "2022-03-24 23:58:39" }], "msg": "用户列表查询成功" }
目前主要是利用ControllerAdvice来对请求和响应体进行拦截,主要定义SecretRequestAdvice对请求进行加密和SecretResponseAdvice对响应进行加密(实际情况会稍微复杂一点,项目中又GET类型请求,自定义了一个Filter进行不同的请求解密处理)。
好了,网上的ControllerAdvice使用示例非常多,我这把两个核心方法给大家展示看看,相信大佬们一看就晓得了,不需多言。上代码:
SecretRequestAdvice请求解密:
@ControllerAdvice @Order(Ordered.HIGHEST_PRECEDENCE) @Slf4j public class SecretRequestAdvice extends RequestBodyAdviceAdapter { @Override public boolean supports(MethodParameter methodParameter, Type type, Class<? extends HttpMessageConverter<?>> aClass) { return true; } @Override public HttpInputMessage beforeBodyRead(HttpInputMessage inputMessage, MethodParameter parameter, Type targetType, Class<? extends HttpMessageConverter<?>> converterType) throws IOException { //如果支持加密消息,进行消息解密。 String httpBody; if (Boolean.TRUE.equals(SecretFilter.secretThreadLocal.get())) { httpBody = decryptBody(inputMessage); } else { httpBody = StreamUtils.copyToString(inputMessage.getBody(), Charset.defaultCharset()); } //返回处理后的消息体给messageConvert return new SecretHttpMessage(new ByteArrayInputStream(httpBody.getBytes()), inputMessage.getHeaders()); } /** * 解密消息体 * * @param inputMessage 消息体 * @return 明文 */ private String decryptBody(HttpInputMessage inputMessage) throws IOException { InputStream encryptStream = inputMessage.getBody(); String requestBody = StreamUtils.copyToString(encryptStream, Charset.defaultCharset()); // 验签过程 HttpHeaders headers = inputMessage.getHeaders(); if (CollectionUtils.isEmpty(headers.get("clientType")) || CollectionUtils.isEmpty(headers.get("timestamp")) || CollectionUtils.isEmpty(headers.get("salt")) || CollectionUtils.isEmpty(headers.get("signature"))) { throw new ResultException(SECRET_API_ERROR, "请求解密参数错误,clientType、timestamp、salt、signature等参数传递是否正确传递"); } String timestamp = String.valueOf(Objects.requireNonNull(headers.get("timestamp")).get(0)); String salt = String.valueOf(Objects.requireNonNull(headers.get("salt")).get(0)); String signature = String.valueOf(Objects.requireNonNull(headers.get("signature")).get(0)); String privateKey = SecretFilter.clientPrivateKeyThreadLocal.get(); ReqSecret reqSecret = JSON.parseObject(requestBody, ReqSecret.class); String data = reqSecret.getData(); String newSignature = ""; if (!StringUtils.isEmpty(privateKey)) { newSignature = Md5Utils.genSignature(timestamp + salt + data + privateKey); } if (!newSignature.equals(signature)) { // 验签失败 throw new ResultException(SECRET_API_ERROR, "验签失败,请确认加密方式是否正确"); } try { String decrypt = EncryptUtils.aesDecrypt(data, privateKey); if (StringUtils.isEmpty(decrypt)) { decrypt = "{}"; } return decrypt; } catch (Exception e) { log.error("error: ", e); } throw new ResultException(SECRET_API_ERROR, "解密失败"); } }
SecretResponseAdvice响应加密:
@ControllerAdvice public class SecretResponseAdvice implements ResponseBodyAdvice { private Logger logger = LoggerFactory.getLogger(SecretResponseAdvice.class); @Override public boolean supports(MethodParameter methodParameter, Class aClass) { return true; } @Override public Object beforeBodyWrite(Object o, MethodParameter methodParameter, MediaType mediaType, Class aClass, ServerHttpRequest serverHttpRequest, ServerHttpResponse serverHttpResponse) { // 判断是否需要加密 Boolean respSecret = SecretFilter.secretThreadLocal.get(); String secretKey = SecretFilter.clientPrivateKeyThreadLocal.get(); // 清理本地缓存 SecretFilter.secretThreadLocal.remove(); SecretFilter.clientPrivateKeyThreadLocal.remove(); if (null != respSecret && respSecret) { if (o instanceof ResponseBasic) { // 外层加密级异常 if (SECRET_API_ERROR == ((ResponseBasic) o).getCode()) { return SecretResponseBasic.fail(((ResponseBasic) o).getCode(), ((ResponseBasic) o).getData(), ((ResponseBasic) o).getMsg()); } // 业务逻辑 try { String data = EncryptUtils.aesEncrypt(JSON.toJSONString(o), secretKey); // 增加签名 long timestamp = System.currentTimeMillis() / 1000; int salt = EncryptUtils.genSalt(); String dataNew = timestamp + "" + salt + "" + data + secretKey; String newSignature = Md5Utils.genSignature(dataNew); return SecretResponseBasic.success(data, timestamp, salt, newSignature); } catch (Exception e) { logger.error("beforeBodyWrite error:", e); return SecretResponseBasic.fail(SECRET_API_ERROR, "", "服务端处理结果数据异常"); } } } return o; } }
OK, 代码Demo撸好了,试运行一波:
请求方法: localhost:8080/secret/user/list header: Content-Type:application/json signature:55efb04a83ca083dd1e6003cde127c45 timestamp:1648308048 salt:123456 clientType:ANDORID body体: // 原始请求体 { "page": 1, "size": 10 } // 加密后的请求体 { "data": "1ZBecdnDuMocxAiW9UtBrJzlvVbueP9K0MsIxQccmU3OPG92oRinVm0GxBwdlXXJ" } // 加密响应体: { "data": "fxHYvnIE54eAXDbErdrDryEsIYNvsOOkyEKYB1iBcre/QU1wMowHE2BNX/je6OP3NlsCtAeDqcp7J1N332el8q2FokixLvdxAPyW5Un9JiT0LQ3MB8p+nN23pTSIvh9VS92lCA8KULWg2nViSFL5X1VwKrF0K/dcVVZnpw5h227UywP6ezSHjHdA+Q0eKZFGTEv3IzNXWqq/otx5fl1gKQ==", "code": 200, "signature": "aa61f19da0eb5d99f13c145a40a7746b", "msg": "", "timestamp": 1648480034, "salt": 632648 } // 解密后的响应体: { "code": 200, "data": [{ "id": 1, "name": "boyka", "registerTime": "2022-03-27T00:19:43.699", "userType": "COMMON" }], "msg": "用户列表查询成功", "salt": 0 }
OK,客户端请求加密-》发起请求-》服务端解密-》业务处理-》服务端响应加密-》客户端解密展示,看起来没啥问题,实际是头天下午花了2小时碰需求,差不多花1小时写好demo测试,然后对所有接口统一进行了处理,整体一下午赶脚应该行了吧,告诉H5和安卓端同学明儿上午联调(不小的大家到这个时候发现猫腻没有,当时确实疏忽了,翻了大车......)
次日,安卓端反馈,你这个加解密有问题,解密后的数据格式和之前不一样,仔细一看,擦,这个userType和registerTime是不对劲,开始思考:这个能是哪儿的问题呢?1s之后,初步定位,应该是响应体的JSON.toJSONString的问题:
String data = EncryptUtils.aesEncrypt(JSON.toJSONString(o)),
Debug断点调试,果然,是JSON.toJSONString(o)这一步骤转换出了问题,那JSON转换时是不是有高级属性可以配置生成想要的序列化格式呢?FastJson在序列化时提供重载方法,找到其中一个"SerializerFeature"参数可以琢磨一下,这个参数是可以对序列化进行配置的,它提供了很多配置类型,其中感觉这几个比较沾边:
WriteEnumUsingToString, WriteEnumUsingName, UseISO8601DateFormat
对枚举类型来说,默认是使用的WriteEnumUsingName(枚举的Name), 另一种WriteEnumUsingToString是重新toString方法,理论上可以转换成想要的样子,即这个样子:
@Getter @JsonFormat(shape = JsonFormat.Shape.OBJECT) public enum UserType { VIP("VIP用户"), COMMON("普通用户"); private String code; private String type; UserType(String type) { this.code = name(); this.type = type; } @Override public String toString() { return "{" + ""code":"" + name() + '"' + ", "type":"" + type + '"' + '}'; } }
结果转换出来的数据是字符串类型"{"code":"COMMON", "type":"普通用户"}",这个方法好像行不通,还有什么好办法呢?思前想后,看文章开始定义的User和UserType类,标记数据序列化格式@JsonFormat,再突然想起之前看到过的一些文章,SpringMVC底层默认是使用Jackson进行序列化的,那好了,就用Jacksong实施呗,将SecretResponseAdvice中的序列化方法替换一下:
String data = EncryptUtils.aesEncrypt(JSON.toJSONString(o), secretKey); 换为: String data =EncryptUtils.aesEncrypt(new ObjectMapper().writeValueAsString(o), secretKey);
重新运行一波,走起:
{ "code": 200, "data": [{ "id": 1, "name": "boyka", "userType": { "code": "COMMON", "type": "普通用户" }, "registerTime": { "month": "MARCH", "year": 2022, "dayOfMonth": 29, "dayOfWeek": "TUESDAY", "dayOfYear": 88, "monthValue": 3, "hour": 22, "minute": 30, "nano": 453000000, "second": 36, "chronology": { "id": "ISO", "calendarType": "iso8601" } } }], "msg": "用户列表查询成功" }
解密后的userType枚举类型和非加密版本一样了,舒服了,== 好像还不对,registerTime怎么变成这个样子了?原本是"2022-03-24 23:58:39"这种格式的,网上有很多解决方案,不过用在我们目前这个需求里面,就是有损改装了啊,不太可取,遂去Jackson官网上查找一下相关文档,当然Jackson也提供了ObjectMapper的序列化配置,重新再初始化配置ObjectMpper对象:
String DATE_TIME_FORMATTER = "yyyy-MM-dd HH:mm:ss"; ObjectMapper objectMapper = new Jackson2ObjectMapperBuilder() .findModulesViaServiceLoader(true) .serializerByType(LocalDateTime.class, new LocalDateTimeSerializer( DateTimeFormatter.ofPattern(DATE_TIME_FORMATTER))) .deserializerByType(LocalDateTime.class, new LocalDateTimeDeserializer( DateTimeFormatter.ofPattern(DATE_TIME_FORMATTER))) .build();
转换结果:
{ "code": 200, "data": [{ "id": 1, "name": "boyka", "userType": { "code": "COMMON", "type": "普通用户" }, "registerTime": "2022-03-29 22:57:33" }], "msg": "用户列表查询成功" }
OK,和非加密版的终于一致了,完了吗?感觉还是可能存在些什么问题,首先业务代码的时间序列化需求不一样,有"yyyy-MM-dd hh:mm:ss"的,也有"yyyy-MM-dd"的,还可能其他配置思考不到位的,导致和之前非加密版返回数据不一致的问题,到时候联调测出来了也麻烦,有没有一劳永逸的办法呢?哎,这个时候如果你看过 Spring 源码的话,就应该知道spring框架自身是怎么序列化的,照着配置应该就行嘛,好像有点道理,我这里不从0开始分析源码了。
跟着执行链路,找到具体的响应序列化,重点就是RequestResponseBodyMethodProcessor,
protected <T> void writeWithMessageConverters(@Nullable T value, MethodParameter returnType, ServletServerHttpRequest inputMessage, ServletServerHttpResponse outputMessage) throws IOException, HttpMediaTypeNotAcceptableException, HttpMessageNotWritableException { // 获取响应的拦截器链并执行beforeBodyWrite方法,也就是执行了我们自定义的SecretResponseAdvice中的beforeBodyWrite啦 body = this.getAdvice().beforeBodyWrite(body, returnType, selectedMediaType, converter.getClass(), inputMessage, outputMessage); if (body != null) { // 执行响应体序列化工作 if (genericConverter != null) { genericConverter.write(body, (Type)targetType, selectedMediaType, outputMessage); } else { converter.write(body, selectedMediaType, outputMessage); } }
进而通过实例化的AbstractJackson2HttpMessageConverter对象找到执行序列化的核心方法
-> AbstractGenericHttpMessageConverter: public final void write(T t, @Nullable Type type, @Nullable MediaType contentType, HttpOutputMessage outputMessage) throws IOException, HttpMessageNotWritableException { ... this.writeInternal(t, type, outputMessage); outputMessage.getBody().flush(); } -> 找到Jackson序列化 AbstractJackson2HttpMessageConverter: // 从spring容器中获取并设置的ObjectMapper实例 protected ObjectMapper objectMapper; protected void writeInternal(Object object, @Nullable Type type, HttpOutputMessage outputMessage) throws IOException, HttpMessageNotWritableException { MediaType contentType = outputMessage.getHeaders().getContentType(); JsonEncoding encoding = this.getJsonEncoding(contentType); JsonGenerator generator = this.objectMapper.getFactory().createGenerator(outputMessage.getBody(), encoding); this.writePrefix(generator, object); Object value = object; Class<?> serializationView = null; FilterProvider filters = null; JavaType javaType = null; if (object instanceof MappingJacksonValue) { MappingJacksonValue container = (MappingJacksonValue)object; value = container.getValue(); serializationView = container.getSerializationView(); filters = container.getFilters(); } if (type != null && TypeUtils.isAssignable(type, value.getClass())) { javaType = this.getJavaType(type, (Class)null); } ObjectWriter objectWriter = serializationView != null ? this.objectMapper.writerWithView(serializationView) : this.objectMapper.writer(); if (filters != null) { objectWriter = objectWriter.with(filters); } if (javaType != null && javaType.isContainerType()) { objectWriter = objectWriter.forType(javaType); } SerializationConfig config = objectWriter.getConfig(); if (contentType != null && contentType.isCompatibleWith(MediaType.TEXT_EVENT_STREAM) && config.isEnabled(SerializationFeature.INDENT_OUTPUT)) { objectWriter = objectWriter.with(this.ssePrettyPrinter); } // 重点进行序列化 objectWriter.writeValue(generator, value); this.writeSuffix(generator, object); generator.flush(); }
那么,可以看出SpringMVC在进行响应序列化的时候是从容器中获取的ObjectMapper实例对象,并会根据不同的默认配置条件进行序列化,那处理方法就简单了,我也可以从Spring容器拿数据进行序列化啊。SecretResponseAdvice进行如下进一步改造:
@ControllerAdvice public class SecretResponseAdvice implements ResponseBodyAdvice { @Autowired private ObjectMapper objectMapper; @Override public Object beforeBodyWrite(....) { ..... String dataStr =objectMapper.writeValueAsString(o); String data = EncryptUtils.aesEncrypt(dataStr, secretKey); ..... } }
经测试,响应数据和非加密版万全一致啦,还有GET部分的请求加密,以及后面加解密惨遭跨域问题,后面有空再和大家聊聊。
总结
加载全部内容