日志中进行脱敏处理

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首先要写脱敏类,如下

@Slf4j
public class SensitiveDataConverter extends MessageConverter {

  private static Pattern idCardPattern = Pattern.compile("(\\D)(\\d{6})([19,20]\\d{7})(\\d{3}[0-9Xx])(\\D)");
  private static Pattern bankCardPattern = Pattern.compile("(\\D)([3-6]\\d{3})(\\d{8,12})(\\d{4})(\\D)");
  private static Pattern mobilePattern = Pattern.compile("(\\D)([13,14,15,16,17,18,19]\\d{2})(\\d{4})(\\d{4})(\\D)");
  private static Pattern namePattern = Pattern.compile("([^\\u4e00-\\u9fa5])([\\u4e00-\\u9fa5])([\\u4e00-\\u9fa5]{1,3})([^\\u4e00-\\u9fa5])");

  @Override
  public String convert(ILoggingEvent event){
    try {
      String oriLogMsg = event.getFormattedMessage();
      return deSensitiveData(oriLogMsg);
    }catch (Exception e){
      log.error("[数据脱敏失败]",e);
      return super.convert(event);
    }
  }
  /**
   * 处理日志字符串,返回脱敏后的字符串
   * @param oriMsg
   * @return
   */
  private String deSensitiveData(final String oriMsg){
    String s1 = idCardPattern.matcher(oriMsg).replaceAll("$1$2********$4$5");
    String s2 = bankCardPattern.matcher(s1).replaceAll("$1$2********$4$5");
    String s3 = mobilePattern.matcher(s2).replaceAll("$1$2****$4$5");
    return namePattern.matcher(s3).replaceAll("$1$2**$4");
  }
}

其次在logback中加入相应配置

<configuration scan="true">
    <!-- 指定脱敏类的位置 -->
    <conversionRule conversionWord="msg" converterClass="com.aspect.SensitiveDataConverter"/>
</configuration>