大数据平台ambari中防火墙端口设置

女爷i 2023-01-07 08:52 240阅读 0赞

网上搜索链接基本都是ambari将服务器的防火墙关闭，这样最为简单。我也这么做了，却被其他人嘲笑，我本来也不是专业的运维，但是我看他们也经常这么做啊，或许他在网络安全方面做了足够好，但是如果服务器是在云上呢？那好吧，只得老老实实的开启防火墙，设置相关的端口。  
[大数据平台ambari][ambari]中是直接将防火墙关闭的，但因为我们的ambari中大数据环境已经在运行，直接开启端口，恐怕不行。  
于是先找个系统来演练一下，不能硬刚。  
**1 爬虫演练**  
先查看端口的使用情况，可以看到`Local Address`有几种类型，防火墙既然开放端口，那么应该是别人访问，那么`127.0.0.1`的端口就不需要添加，而`0.0.0.0`开头的端口`22`、`5000`、`6800`这三个应该添加到防火墙中

[root@sp2 ~]# netstat -ntlp
    Active Internet connections (only servers)
    Proto Recv-Q Send-Q Local Address           Foreign Address         State       PID/Program name    
    tcp        0      0 127.0.0.1:6037          0.0.0.0:*               LISTEN      13197/python3.8     
    tcp        0      0 127.0.0.1:6038          0.0.0.0:*               LISTEN      13896/python3.8     
    tcp        0      0 0.0.0.0:22              0.0.0.0:*               LISTEN      1415/sshd           
    tcp        0      0 127.0.0.1:6039          0.0.0.0:*               LISTEN      14557/python3.8     
    tcp        0      0 127.0.0.1:6040          0.0.0.0:*               LISTEN      15262/python3.8     
    tcp        0      0 127.0.0.1:6041          0.0.0.0:*               LISTEN      16159/python3.8     
    tcp        0      0 127.0.0.1:25            0.0.0.0:*               LISTEN      1030/master         
    tcp        0      0 127.0.0.1:6023          0.0.0.0:*               LISTEN      14611/python3.8     
    tcp        0      0 127.0.0.1:6024          0.0.0.0:*               LISTEN      5360/python3.8      
    tcp        0      0 0.0.0.0:5000            0.0.0.0:*               LISTEN      9857/python3.8      
    tcp        0      0 127.0.0.1:6025          0.0.0.0:*               LISTEN      26532/python3.8     
    tcp        0      0 127.0.0.1:6026          0.0.0.0:*               LISTEN      28520/python3.8     
    tcp        0      0 127.0.0.1:6027          0.0.0.0:*               LISTEN      2743/python3.8      
    tcp        0      0 127.0.0.1:6028          0.0.0.0:*               LISTEN      3423/python3.8      
    tcp        0      0 127.0.0.1:6029          0.0.0.0:*               LISTEN      4979/python3.8      
    tcp        0      0 127.0.0.1:6030          0.0.0.0:*               LISTEN      6809/python3.8      
    tcp        0      0 127.0.0.1:6031          0.0.0.0:*               LISTEN      7463/python3.8      
    tcp        0      0 127.0.0.1:6032          0.0.0.0:*               LISTEN      8420/python3.8      
    tcp        0      0 0.0.0.0:6800            0.0.0.0:*               LISTEN      26316/python3.8     
    tcp        0      0 127.0.0.1:6033          0.0.0.0:*               LISTEN      9109/python3.8      
    tcp        0      0 127.0.0.1:6034          0.0.0.0:*               LISTEN      10927/python3.8     
    tcp        0      0 127.0.0.1:6035          0.0.0.0:*               LISTEN      11573/python3.8     
    tcp        0      0 127.0.0.1:6036          0.0.0.0:*               LISTEN      12232/python3.8     
    tcp6       0      0 :::22                   :::*                    LISTEN      1415/sshd           
    tcp6       0      0 ::1:25                  :::*                    LISTEN      1030/master

[root@sp1 ~]# netstat -tlunp
    Active Internet connections (only servers)
    Proto Recv-Q Send-Q Local Address           Foreign Address         State       PID/Program name    
    tcp        0      0 127.0.0.1:6028          0.0.0.0:*               LISTEN      23110/python3.8     
    tcp        0      0 127.0.0.1:6029          0.0.0.0:*               LISTEN      27898/python3.8     
    tcp        0      0 127.0.0.1:6030          0.0.0.0:*               LISTEN      25903/python3.8     
    tcp        0      0 127.0.0.1:6031          0.0.0.0:*               LISTEN      23859/python3.8     
    tcp        0      0 127.0.0.1:6032          0.0.0.0:*               LISTEN      26693/python3.8     
    tcp        0      0 0.0.0.0:6800            0.0.0.0:*               LISTEN      30924/python3.8     
    tcp        0      0 127.0.0.1:6034          0.0.0.0:*               LISTEN      29614/python3.8     
    tcp        0      0 0.0.0.0:22              0.0.0.0:*               LISTEN      1435/sshd           
    tcp        0      0 127.0.0.1:25            0.0.0.0:*               LISTEN      1029/master         
    tcp        0      0 0.0.0.0:8000            0.0.0.0:*               LISTEN      24997/python3.8     
    tcp        0      0 127.0.0.1:6023          0.0.0.0:*               LISTEN      7501/python3.8      
    tcp        0      0 127.0.0.1:6024          0.0.0.0:*               LISTEN      19693/python3.8     
    tcp        0      0 0.0.0.0:7081            0.0.0.0:*               LISTEN      12231/python3.8     
    tcp        0      0 127.0.0.1:6025          0.0.0.0:*               LISTEN      6071/python3.8      
    tcp        0      0 127.0.0.1:6026          0.0.0.0:*               LISTEN      14071/python3.8     
    tcp        0      0 127.0.0.1:6027          0.0.0.0:*               LISTEN      21357/python3.8     
    tcp6       0      0 :::8080                 :::*                    LISTEN      22509/java          
    tcp6       0      0 :::22                   :::*                    LISTEN      1435/sshd           
    tcp6       0      0 ::1:25                  :::*                    LISTEN      1029/master         
    tcp6       0      0 127.0.0.1:8005          :::*                    LISTEN      22509/java          
    tcp6       0      0 :::8009                 :::*                    LISTEN      22509/java          
    udp        0      0 0.0.0.0:68              0.0.0.0:*                           789/dhclient        
    udp        0      0 127.0.0.1:323           0.0.0.0:*                           618/chronyd         
    udp6       0      0 ::1:323                 :::*                                618/chronyd

看一下一台罗  
根据上面的分析，执行准备命令

# 22为ssh的端口
    firewall-cmd --zone=public --add-port=22/tcp --permanent
    # 5000是scrapyweb端口
    firewall-cmd --zone=public --add-port=5000/tcp --permanent
    # 6800是scrapyd的端口
    firewall-cmd --zone=public --add-port=6800/tcp --permanent
    # 7081是pypi-server的端口
    firewall-cmd --zone=public --add-port=7081/tcp --permanent

这个时候，我仍然不敢在没有充分了解状态的时候，因为有两行我并不明白

tcp6       0      0 :::22                   :::*                    LISTEN      1415/sshd           
    tcp6       0      0 ::1:25                  :::*                    LISTEN      1030/master

[CentOS安装nmap端口查看工具][CentOS_nmap],安装`yum install -y nmap`, 现在扫一下本地，扫描后发现了3个open的端口

[root@sp4 ~]# nmap localhost
    
    Starting Nmap 6.40 ( http://nmap.org ) at 2021-01-16 16:15 CST
    Nmap scan report for localhost (127.0.0.1)
    Host is up (0.0000020s latency).
    Other addresses for localhost (not scanned): 127.0.0.1
    Not shown: 997 closed ports
    PORT     STATE SERVICE
    22/tcp   open  ssh
    25/tcp   open  smtp
    6025/tcp open  x11
    
    Nmap done: 1 IP address (1 host up) scanned in 1.60 seconds

接着在另外一台机器扫描它，为什么这里只看到了一个22端口呢？难道我的防火墙只需要开放22端口就可以了吗？

[root@sp5 ~]# nmap 10.128.1.68
    
    Starting Nmap 6.40 ( http://nmap.org ) at 2021-01-16 16:17 CST
    Nmap scan report for sp4.test.com (10.128.1.68)
    Host is up (0.00025s latency).
    Not shown: 999 closed ports
    PORT   STATE SERVICE
    22/tcp open  ssh
    MAC Address: xx:xx:xx:xx:xx:xx (Unknown)
    
    Nmap done: 1 IP address (1 host up) scanned in 1.62 seconds

参考[centos 6.5下安装nmap工具及简单用法][centos 6.5_nmap]，继续分析下去看看有什么发现。  
执行命令`nmap -sL 10.128.1.0/24`,可以看到确实可以把子网内的所有机器都扫描出来了  
![2][]  
扫描特定端口`nmap -p U:53,T:80,21,22,S:9 10.128.1.166`,其中T代表TCP协议、U代表UDP协议、S代表SCTP协议

21/tcp closed ftp
    22/tcp open   ssh
    80/tcp closed http

**2 ambari**  
下面可以看出别人的确是给大数据增加了防火墙  
[yarn-cluster模式spark应用客户端与集群的通信端口][yarn-cluster_spark]  
[Hadoop Yarn 未授权访问导致被攻击][Hadoop Yarn]

待完善。。。

[ambari]: https://blog.csdn.net/warrah/article/details/111719117
[CentOS_nmap]: https://www.osyunwei.com/archives/2004.html
[centos 6.5_nmap]: https://www.cnblogs.com/su-root/archive/2019/02/24/10428547.html
[2]: /images/20221119/88cba25927cd4b988a8d5a3754cf2a9c.png
[yarn-cluster_spark]: https://www.jianshu.com/p/d135f3267ab9
[Hadoop Yarn]: https://zhangnew.com/hadoop-yarn-safe.html