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docker的漏洞(一次docker错误的耗时排查过程记录)

时间:2022-01-26 01:39:41类别:服务器

docker的漏洞

一次docker错误的耗时排查过程记录

由来

客户是深信服的订制系统,基于 centos 改的,排查半天发现居然是文件损坏,而不是 docker 的问题。

环境信息

docker信息:

  • $ docker info
    Containers: 0
     Running: 0
     Paused: 0
     Stopped: 0
    Images: 2
    Server Version: 18.09.3
    Storage Driver: overlay2
     Backing Filesystem: xfs
     Supports d_type: true
     Native Overlay Diff: true
    Logging Driver: json-file
    Cgroup Driver: cgroupfs
    Plugins:
     Volume: local
     Network: bridge host macvlan null overlay
     Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
    Swarm: inactive
    Runtimes: runc
    Default Runtime: runc
    Init Binary: docker-init
    containerd version: e6b3f5632f50dbc4e9cb6288d911bf4f5e95b18e
    runc version: 6635b4f0c6af3810594d2770f662f34ddc15b40d
    init version: fec3683
    Security Options:
     seccomp
     Profile: default
    Kernel Version: 3.10.0
    Operating System: CentOS Linux 7 (Core)
    OSType: linux
    Architecture: x86_64
    CPUs: 20
    Total Memory: 125.3GiB
    Name: eds-1f21a854
    ID: VZLV:26PU:ZUN6:QQEJ:GW3I:YETT:HMEU:CK6J:SIPL:CHKV:6ASN:5NDF
    Docker Root Dir: /data/kube/docker
    Debug Mode (client): false
    Debug Mode (server): false
    Registry: https://index.docker.io/v1/
    Labels:
    Experimental: false
    Insecure Registries:
     reg.wps.lan:5000
     treg.yun.wps.cn
     127.0.0.0/8
    Registry Mirrors:
     https://registry.docker-cn.com/
     https://docker.mirrors.ustc.edu.cn/
    Live Restore Enabled: false
    Product License: Community Engine
    
    
  • 系统信息

  • $ uname -a
    Linux eds-1f21a854 3.10.0 #1 SMP Mon Sep 28 12:00:30 CST 2020 x86_64 x86_64 x86_64 GNU/Linux
    $ cat /etc/os-release
    NAME="CentOS Linux"
    VERSION="7 (Core)"
    ID="centos"
    ID_LIKE="rhel fedora"
    VERSION_ID="7"
    PRETTY_NAME="CentOS Linux 7 (Core)"
    ANSI_COLOR="0;31"
    CPE_NAME="cpe:/o:centos:centos:7"
    HOME_URL="https://www.centos.org/"
    BUG_REPORT_URL="https://bugs.centos.org/"
    
    CENTOS_MANTISBT_PROJECT="CentOS-7"
    CENTOS_MANTISBT_PROJECT_VERSION="7"
    REDHAT_SUPPORT_PRODUCT="centos"
    REDHAT_SUPPORT_PRODUCT_VERSION="7"
    
    
    
  • 服务器信息:

  • $ cat product_name
    SUGON-60G16
    $ cat sys_vendor
    SANGFOR
    $ cat product_version
    1.2
    
    
  • 排查过程

    安装docker服务器挂了

    时间2020 10/29 19:51:

    实施: 客户这边部署的时候安装docker的时候服务器挂了
    我: 开机后/var/log/message有信息吗
    实施: 只能恢复快照才能进去,服务器进不了,看不了信息
    我: 不恢复快照起不来吗
    实施: 是的

    到这里我以为是触发了啥内核 bug 直接内核 panic 了服务器起不来。

    时间2020 10/30 9:07:

    我: 起不来的时候有进控制台去看啥原因起不来吗
    实施: 是客户服务器没法查看呢
    我: 客户没去看下吗

    然后实施直接发来一个向日葵远程连接,我上去后发现不是常规的操作系统,是基于 centos 改过的,没找到/var/log/message,然后手动执行我们的 docker 安装脚本。

  • bash -x install-docker.sh
    
    
  • 然后输出的信息在某一步就没输出了,应该”挂了”,看了下脚本最后一条输出调试信息的后面是启动 docker,应该是启动 docker 触发的。然后很久后还是无法连上和 ping 通,叫实施问问那边现场看看是硬件服务器的话有没有 idrac,ilo 之类的看看 tty 控制台的信息。

    现场人员看了下服务器是”正常开机”的,我这边尝试还是连不上,现场问我们的操作是否是改了路由,现场 systemctl 看了下 docker 是起来的。现场那边还是 ping 不通网关。我这边突然想到是不是压根没挂。。。

    叫他 uptime -s 看看上次的启动时间,结果压根没重启。。。

    然后现场排查到是 iptables 的问题,启动 docker 的时候把他们的规则刷没了。后面他们改了下都放开了。所以前面的启动 docker 把机器挂了实际上是iptables的影响导致网络断开,机器压根没重启。

    启动容器挂掉

    然后继续,实施说之前同样的其他机器安装 docker 的时候没出现上面的问题,而是启动的时候出现上面的问题,我就手动执行下部署,结果报错。脚本开-x调试看是load 部署镜像的时候报错了。

  • error during connect: Post http://%2Fvar%2Frun%2Fdocker.sock/v1.39/images/load?quiet=0: read unix @->/var/run/docker.sock: read: EOF
    
    
  • 手动执行下:

  • $ docker load -i ./kube/images/deploy.tar
    error during connect: Post http://%2Fvar%2Frun%2Fdocker.sock/v1.39/images/load?quiet=0: read unix @->/var/run/docker.sock: read: connection reset by peer
    
    
  • jounalctl 看了下 docker daemon 没任何相关日志,这个报错搜了下有的人说是 /var/run/docker.sock 的 docker 组不存在,也有人直接chmod 777解决的。试了下还是不行。前台 debug 下 docker 看看有没有有用的信息:

  • systemctl stop docker
    pkill dockerd
    dockerd -D
    
    
  • 另开一个终端执行 load 镜像操作:

  • $ docker load -i ./kube/images/deploy.tar
    ab6425526dab: Loading layer [==================================================>] 126.3MB/126.3MB
    c7fe3ea715ef: Loading layer [==================================================>] 340.3MB/340.3MB
    7f7eae7934f7: Loading layer [==================================================>] 3.584kB/3.584kB
    e99a66706b50: Loading layer [==================================================>] 2.105MB/2.105MB
    245b79de6bb7: Loading layer [==================================================>] 283.5MB/283.5MB
    2a56a4432cef: Loading layer [==================================================>] 93.18kB/93.18kB
    0c2ea71066ab: Loading layer [==================================================>] 276.5kB/276.5kB
    bb3f6df0f87c: Loading layer [==================================================>] 82.94kB/82.94kB
    6f34ead3cef7: Loading layer [==================================================>] 946.7kB/946.7kB
    c21422dd15f6: Loading layer [==================================================>] 1.97MB/1.97MB
    940288517f4c: Loading layer [==================================================>] 458.2kB/458.2kB
    0c52f1af61f4: Loading layer [==================================================>] 5.12kB/5.12kB
    049e7edd48bc: Loading layer [==================================================>] 1.57MB/1.57MB
    73307245d702: Loading layer [==================================================>] 5.632kB/5.632kB
    f109309d8ffc: Loading layer [==================================================>] 2.175MB/2.175MB
    Loaded image: xxxxxxxxxxxx.cn/platform/deploy-amd64:ubuntu.16.04
    $ docker images
    REPOSITORY    TAG   IMAGE ID  CREATED  SIZE
    xxxxxxxxxxxx.cn/platform/deploy-amd64 ubuntu.16.04 3ad94a76af5d 3 months ago 734MB
    
    
  • 调试这边前台日志输出正常

  • ...
    DEBU[2020-10-30T14:48:39.955963986+08:00] Applied tar sha256:049e7edd48bc46e3dd5edf89c9caa8f0f7efbb41af403c5a54dd4f1008f604a7 to d58edd0d97bb672ef40e82e45c1603ca3ceaad847d9b9fc7c9b0588087019649, size: 1518278
    DEBU[2020-10-30T14:48:39.960091040+08:00] Applying tar in /data/kube/docker/overlay2/b044bd592ae800ed071208c6b2f650c5cbdc7452702f56a23b9b4ffe4236ac18/diff storage-driver=overlay2
    DEBU[2020-10-30T14:48:40.059510528+08:00] Applied tar sha256:73307245d7021f9627ca0b2cbfeab3aac0b65abfd476f6ec26bb92c75892d7e2 to b044bd592ae800ed071208c6b2f650c5cbdc7452702f56a23b9b4ffe4236ac18, size: 3284
    DEBU[2020-10-30T14:48:40.063040538+08:00] Applying tar in /data/kube/docker/overlay2/03918b1d275aa284532b8b9c59ca158409416f904e13cc7084c598ed343e844f/diff storage-driver=overlay2
    DEBU[2020-10-30T14:48:40.148209852+08:00] Applied tar sha256:f109309d8ffcb76589ad6389e80335d986b411c80122d990ab00a02a3a916e3e to 03918b1d275aa284532b8b9c59ca158409416f904e13cc7084c598ed343e844f, size: 2072803
    ^CINFO[2020-10-30T14:48:55.593523177+08:00] Processing signal 'interrupt'
    DEBU[2020-10-30T14:48:55.593617229+08:00] daemon configured with a 15 seconds minimum shutdown timeout
    DEBU[2020-10-30T14:48:55.593638628+08:00] start clean shutdown of all containers with a 15 seconds timeout...
    DEBU[2020-10-30T14:48:55.594074457+08:00] Unix socket /run/docker/libnetwork/ebd15186e86385c48c4c5508d5f30eb83d5d74e56f09af5c82b6d6d9d63ec8b8.sock doesn't exist. cannot accept client connections
    DEBU[2020-10-30T14:48:55.594106623+08:00] Cleaning up old mountid : start.
    INFO[2020-10-30T14:48:55.594157536+08:00] stopping event stream following graceful shutdown error="<nil>" module=libcontainerd namespace=moby
    DEBU[2020-10-30T14:48:55.594343122+08:00] Cleaning up old mountid : done.
    DEBU[2020-10-30T14:48:55.594501828+08:00] Clean shutdown succeeded
    INFO[2020-10-30T14:48:55.594520918+08:00] stopping healthcheck following graceful shutdown module=libcontainerd
    INFO[2020-10-30T14:48:55.594531978+08:00] stopping event stream following graceful shutdown error="context canceled" module=libcontainerd namespace=plugins.moby
    DEBU[2020-10-30T14:48:55.594603119+08:00] received signal    signal=terminated
    INFO[2020-10-30T14:48:55.594739890+08:00] pickfirstBalancer: HandleSubConnStateChange: 0xc4201a61b0, TRANSIENT_FAILURE module=grpc
    INFO[2020-10-30T14:48:55.594751465+08:00] pickfirstBalancer: HandleSubConnStateChange: 0xc4201a61b0, CONNECTING module=grpc
    
    
  • 看了下systemd的配置没啥特殊的,就很迷,不知道为啥前台运行就能导入,后面实在想不到怎么排查,就怀疑可能是 socket 问题,尝试用 socat 转发成 tcp 试试,结果还是不行(此处应该daemon那加tcp 监听127试试,不应该通过socket,socat最终也是过的socket)

  • $ socat -d -d TCP-LISTEN:2375,fork,bind=127.0.0.1 UNIX:/var/run/docker.sock
    2020/10/30 17:39:58 socat[5201] N listening on AF=2 127.0.0.1:2375
    ^[[C2020/10/30 17:42:06 socat[5201] N accepting connection from AF=2 127.0.0.1:35370 on AF=2 127.0.0.1:2375
    2020/10/30 17:42:06 socat[5201] N forked off child process 11501
    2020/10/30 17:42:06 socat[5201] N listening on AF=2 127.0.0.1:2375
    2020/10/30 17:42:06 socat[11501] N opening connection to AF=1 "/var/run/docker.sock"
    2020/10/30 17:42:06 socat[11501] N successfully connected from local address AF=1 "\0\0\0\0\0\0 \x0D\x@7\xE9\xEC\x7E\0\0\0\x01\0\0\0\0"
    2020/10/30 17:42:06 socat[11501] N starting data transfer loop with FDs [6,6] and [5,5]
    2020/10/30 17:42:12 socat[11501] E write(5, 0x55f098349920, 8192): Broken pipe
    2020/10/30 17:42:12 socat[11501] N exit(1)
    2020/10/30 17:42:12 socat[5201] N childdied(): handling signal 17
    
    $ docker --log-level debug -H tcp://127.0.0.1:2375 load -i kube/images/deploy.tar
    c7fe3ea715ef: Loading layer [==========================================>  ] 286.9MB/340.3MB
    unexpected EOF
    
    
    
  • 最后耗了挺久的,当时忙,去看了下另一个客户的问题,然会回到这边,突发奇想的试试 load 其他镜像,结果可以。。。

  • $ docker load -i kube/images/pause_3.1.tar
    e17133b79956: Loading layer [==================================================>] 744.4kB/744.4kB
    Loaded image: mirrorgooglecontainers/pause-amd64:3.1
    $ docker load -i kube/images/tiller_v2.16.1.tar
    77cae8ab23bf: Loading layer [==================================================>] 5.815MB/5.815MB
    679105aa33fb: Loading layer [==================================================>] 6.184MB/6.184MB
    639eab5d05b1: Loading layer [==================================================>] 40.46MB/40.46MB
    87e5687e03f2: Loading layer [==================================================>] 41.13MB/41.13MB
    Loaded image: gcr.io/kubernetes-helm/tiller:v2.16.1
    $ docker load -i kube/images/calico_v3.1.3.tar
    cd7100a72410: Loading layer [==================================================>] 4.403MB/4.403MB
    ddc4cb8dae60: Loading layer [==================================================>] 7.84MB/7.84MB
    77087b8943a2: Loading layer [==================================================>] 249.3kB/249.3kB
    c7227c83afaf: Loading layer [==================================================>] 4.801MB/4.801MB
    2e0e333a66b6: Loading layer [==================================================>] 231.8MB/231.8MB
    Loaded image: calico/node:v3.1.3
    2580685bfb60: Loading layer [==================================================>] 50.84MB/50.84MB
    Loaded image: calico/kube-controllers:v3.1.3
    0314be9edf00: Loading layer [==================================================>] 1.36MB/1.36MB
    15db169413e5: Loading layer [==================================================>] 28.05MB/28.05MB
    4252efcc5013: Loading layer [==================================================>] 2.818MB/2.818MB
    76cf2496cf36: Loading layer [==================================================>] 3.03MB/3.03MB
    91d3d3a16862: Loading layer [==================================================>] 2.995MB/2.995MB
    18a58488ba3b: Loading layer [==================================================>] 3.474MB/3.474MB
    8d8197f49da2: Loading layer [==================================================>] 27.34MB/27.34MB
    7520364e0845: Loading layer [==================================================>] 9.216kB/9.216kB
    b9d064622bd6: Loading layer [==================================================>] 2.56kB/2.56kB
    Loaded image: calico/cni:v3.1.3
    
    
  • 只有导入这个的时候才报错

  • $ docker load -i kube/images/deploy.tar
    error during connect: Post http://%2Fvar%2Frun%2Fdocker.sock/v1.39/images/load?quiet=0: read unix @->/var/run/docker.sock: read: connection reset by peer
    
    
  • 然后出包的机器上对比了下这个文件的校验值发现不对。。。。

    总结

    有个疑问就是为啥前台可以,其次文件损坏导入的时候 docker daemon 居然不刷任何日志直接 connection reset,新版本没测试过这种情况。

    到此这篇关于docker错误的耗时排查过程记录的文章就介绍到这了,更多相关docker错误耗时排查内容请搜索开心学习网以前的文章或继续浏览下面的相关文章希望大家以后多多支持开心学习网!

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