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Add GCP and Auth0 security skills
Expand cloud and technology coverage for GCP IAM/storage and Auth0 tenant/API misconfiguration testing.
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---
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name: gcp
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description: GCP cloud security testing covering IAM misconfigurations, public storage buckets, metadata abuse, and service account privilege escalation
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---
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# Google Cloud Platform (GCP)
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GCP misconfigurations expose project data, service account keys, and lateral movement paths across Compute, Cloud Storage, Cloud Functions, and GKE. This skill covers direct GCP API testing and post-compromise enumeration from VMs/containers. For SSRF-mediated metadata access, combine with the `ssrf` skill.
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## Attack Surface
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**Identity**
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- IAM policies: project/folder/org level bindings
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- Service accounts, keys (JSON), Workload Identity, impersonation
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- OAuth scopes on compute instances and Cloud Functions
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**Storage & Data**
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- Cloud Storage (GCS) buckets and objects
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- BigQuery datasets, Cloud SQL instances, Firestore (see `firebase_firestore` skill)
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- Secret Manager, Cloud KMS keys
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**Compute**
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- Compute Engine VMs, Cloud Run, Cloud Functions, GKE clusters
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- Metadata server at `http://metadata.google.internal/computeMetadata/v1/`
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- Startup scripts, instance templates, custom images
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**Management**
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- Cloud Console, gcloud CLI, Deployment Manager, Terraform state buckets
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- Cloud Logging, Error Reporting, Cloud Build triggers
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## Reconnaissance
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**Credential Discovery**
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- Service account JSON keys in repos, CI/CD, `.env`, backup buckets
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- `GOOGLE_APPLICATION_CREDENTIALS` environment variable
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- Default Compute Engine service account on VMs (often overprivileged)
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- OAuth tokens in browser/local `gcloud` config (`~/.config/gcloud/`)
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**Unauthenticated Enumeration**
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```
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# GCS bucket existence and listing (allUsers / allAuthenticatedUsers)
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gsutil ls gs://target-bucket
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curl -I https://storage.googleapis.com/target-bucket/
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curl https://storage.googleapis.com/target-bucket/
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# Firebase/GCP storage alternate URLs
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https://target-bucket.storage.googleapis.com/
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```
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**Authenticated Enumeration**
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```
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gcloud auth list
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gcloud config get-value project
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gcloud projects get-iam-policy PROJECT_ID
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gcloud iam service-accounts list
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gcloud storage ls
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gcloud compute instances list
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gcloud container clusters list
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```
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## Key Vulnerabilities
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### Cloud Storage Misconfigurations
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- Public buckets: `allUsers` or `allAuthenticatedUsers` with `roles/storage.objectViewer` or `objectAdmin`
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- Listable buckets revealing object keys: backups, `.env`, `terraform.tfstate`, SA keys
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- Uniform bucket-level access disabled with legacy ACL public-read
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- Signed URL with excessive TTL or overly broad object prefix
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**Test:**
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```
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gsutil iam get gs://BUCKET
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gsutil ls gs://BUCKET
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curl -I https://storage.googleapis.com/BUCKET/sensitive.sql
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```
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### IAM Privilege Escalation
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Common escalation paths (verify with `gcloud iam` / policy simulator):
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| Permission | Escalation |
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|------------|------------|
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| `iam.serviceAccounts.actAs` + `compute.instances.create` | VM with privileged SA |
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| `iam.serviceAccountKeys.create` | Export key for higher-priv SA |
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| `iam.serviceAccounts.setIamPolicy` | Grant yourself roles on SA |
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| `cloudfunctions.functions.create` + `actAs` | Deploy function as privileged SA |
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| `run.services.create` (Cloud Run) + `actAs` | Deploy service with admin SA |
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| `storage.buckets.update` + `setIamPolicy` | Open bucket to public or self |
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**Test:**
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```
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gcloud projects get-iam-policy PROJECT --flatten="bindings[].members" --filter="bindings.members:user:YOU"
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gcloud iam roles list --project=PROJECT
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```
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### Metadata Server Abuse
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From any code execution on a GCP VM, Cloud Run (if metadata accessible), or compromised pod:
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```
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curl -H "Metadata-Flavor: Google" \
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http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/token
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curl -H "Metadata-Flavor: Google" \
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http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/email
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```
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- Default compute SA may have `editor` role on project (legacy projects)
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- Requested OAuth scopes may allow `cloud-platform` full access
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- Workload Identity misconfiguration in GKE → cross-namespace SA token theft
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### GKE Misconfigurations
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- Dashboard/UI exposed, anonymous RBAC (see `kubernetes` skill for K8s layer)
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- Workload Identity not enforced; pods use node SA with broad GCP permissions
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- `kubectl` proxy or `kubelet` read-only port exposed
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- Secrets in ConfigMaps; GCR/Artifact Registry images pulling without auth
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### Cloud Functions / Cloud Run
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- HTTP-triggered functions without authentication (`--allow-unauthenticated`)
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- Environment variables containing API keys (`gcloud functions describe`)
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- Overprivileged runtime service account (`roles/editor`)
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- Event triggers accepting attacker-controlled Pub/Sub messages
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### BigQuery & Cloud SQL
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- Public datasets (`allUsers` on dataset IAM)
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- Cloud SQL public IP with weak/no password
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- Exported snapshots in public GCS buckets
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### Secret Manager & KMS
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- `secretmanager.versions.access` granted to unintended principals
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- Secrets replicated to logs via misconfigured Cloud Functions env vars
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- KMS cryptoKey IAM with `allAuthenticatedUsers`
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## Advanced Techniques
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**Terraform State in GCS**
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- `terraform.tfstate` in listable bucket → all resource addresses, sometimes secrets in plain text
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**Service Account Impersonation Chain**
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- `roles/iam.serviceAccountTokenCreator` on target SA → short-lived access tokens
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**Org/Fold Policy Gaps**
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- Project-level deny policies not applied; child project inherits permissive folder IAM
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## Testing Methodology
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1. **Discover credentials** — Keys in code, metadata, SSRF, public buckets
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2. **Identify principal** — `gcloud auth list`, effective project IAM
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3. **Enumerate storage** — Public/listable buckets, sensitive object names
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4. **Escalation paths** — Map `actAs`, key creation, function deploy permissions
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5. **Metadata** — From any shell in GCP workload, fetch SA token and scopes
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6. **GKE layer** — Pivot from GCP IAM to cluster (combine with `kubernetes` skill)
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## Validation
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1. Demonstrate unauthorized GCS object read/list with bucket URL and object key
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2. Show IAM escalation path with exact role/member binding and resulting access
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3. Prove metadata token theft from compute context with redacted token scope
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4. Document project ID, resource name, and IAM binding root cause
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5. Confirm fix blocks the specific principal/permission/resource combination
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## False Positives
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- Intentionally public static asset bucket with no sensitive objects
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- Metadata server unreachable from tested context (no RCE/SSRF)
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- SA token from metadata has only `devstorage.read_only` on single bucket (note scope, not full breach)
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- `403` on bucket HEAD indicating existence but not readable content
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## Impact
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- Mass data exfiltration from GCS/BigQuery/Cloud SQL backups
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- Project or org compromise via SA key theft or IAM escalation
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- Lateral movement from GKE pod to cloud control plane
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- Regulatory exposure (PII in public buckets or exports)
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## Pro Tips
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1. Always check both `gsutil iam get` and anonymous `curl` — IAM and ACL layers differ
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2. Search public buckets for `*.json` service account keys and `terraform.tfstate`
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3. Default compute SA email: `PROJECT_NUMBER-compute@developer.gserviceaccount.com`
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4. Combine with `kubernetes` skill when target runs on GKE
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5. Firebase-hosted apps often use GCP project underneath — pivot from web to GCP project ID in configs
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## Summary
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GCP security requires least-privilege IAM, no public data paths, tight metadata/scopes on compute, and protected service account keys. Enumerate from any credential or shell — even read-only GCS access often reveals escalation artifacts.
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---
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name: auth0
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description: Auth0 tenant security testing covering misconfigured rules/actions, scope escalation, MFA bypass, and cross-application token confusion
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---
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# Auth0
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Auth0 misconfigurations enable account takeover, cross-tenant data access, and privilege escalation through Rules/Actions, loose application settings, weak API authorization, and token acceptance bugs in consuming applications. Test both the Auth0 tenant configuration and how downstream APIs validate Auth0-issued tokens.
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## Attack Surface
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**Auth0 Components**
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- Applications: SPA, Regular Web, Native, Machine-to-Machine (M2M)
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- APIs (Resource Servers): identifiers, scopes, RBAC, permissions
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- Connections: database, social, enterprise (SAML/OIDC)
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- Rules (legacy) and Actions (post-login, pre-user-registration, credentials exchange)
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- Organizations (multi-tenant B2B), roles, permissions
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- Universal Login, custom domains, custom database scripts
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**Token Types**
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- ID Token (OIDC), Access Token (JWT or opaque), Refresh Token
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- Management API tokens, client credentials tokens (M2M)
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- PAR, PKCE flows for public clients
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**Management**
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- Auth0 Management API (`/api/v2/`)
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- Tenant settings, attack protection, MFA policies, anomaly detection
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- Logs streaming, hooks, custom prompts
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## Reconnaissance
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**Tenant Discovery**
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```
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# From app config, JS bundles, mobile apps
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domain: tenant.us.auth0.com / tenant.eu.auth0.com / login.customdomain.com
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client_id, audience, scope values in authorize URLs
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```
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**OIDC Discovery**
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```
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GET https://TENANT.auth0.com/.well-known/openid-configuration
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GET https://TENANT.auth0.com/.well-known/jwks.json
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GET https://TENANT.auth0.com/userinfo
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```
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**Application Fingerprint**
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- Login redirect to `https://TENANT.auth0.com/authorize?client_id=...`
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- `auth0-js`, `@auth0/auth0-spa-js`, `auth0-react` in frontend bundles
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- API `audience` parameter in token requests
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**Management API Exposure**
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- Leaked M2M credentials with `read:users`, `update:users`, `create:users` scopes
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- Management API called from browser (CORS misconfiguration)
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## Key Vulnerabilities
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### Application Configuration
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**Callback URL / Origin Misconfigurations**
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- Wildcard or overly broad Allowed Callback URLs: `https://app.com/*`, `http://localhost:*`
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- Allowed Logout URLs, Web Origins, CORS origins too permissive
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- Native app custom scheme hijacking (`com.app://callback`)
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**Token Settings**
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- ID Token used as API access token (audience/scope confusion)
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- Refresh token rotation disabled; overly long TTL
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- Signing algorithm downgrade if RS256 not enforced downstream
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### API Authorization (Resource Server)
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**Missing Scope/RBAC Enforcement**
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- API accepts any valid access token without required `scope` or `permissions` claim
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- RBAC enabled in Auth0 but API doesn't call `/userinfo` or validate `permissions` array
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- Wrong `audience` accepted — token for App A works on App B's API
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**Test:**
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```
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# Token for audience A used against API B
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Authorization: Bearer <token_with_audience_A>
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```
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### Rules and Actions Abuse
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**Post-Login Rule/Action Injection**
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- Rules that add claims based on unvalidated user metadata:
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```javascript
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user.app_metadata.role = 'admin' // if user can set app_metadata via signup/API
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```
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- `context.authorization` manipulation in Actions
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- Secrets in Rule code exposed to tenant admins or via Management API leak
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**Signup / Registration Actions**
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- `pre-user-registration` not blocking disposable emails or role self-assignment
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- Social connection account linking without verified email → account takeover
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### Organizations (B2B Multi-Tenancy)
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- Missing `org_id` validation in API — user from Org A accesses Org B data
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- Invitation flows accepting attacker email domains
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- Organization membership not re-checked after role change
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### MFA Bypass
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- MFA not enforced on Management API or high-risk applications
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- Remember-browser cookie bypasses step-up for sensitive actions
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- MFA challenge only on Universal Login but API accepts password-grant tokens without MFA
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- Recovery codes/brute-force on enrollment endpoints
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### Account Takeover Vectors
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- Password reset link not invalidated after use; predictable reset tokens
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- Email verification not required before sensitive actions
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- Change password without re-auth or MFA
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- Linking attacker's social IdP to victim account (same email, unverified)
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### Management API
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- M2M app with excessive scopes: `delete:users`, `update:users_app_metadata`
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- Management API token in frontend JavaScript or mobile app
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- Rate limiting absent on `/api/v2/users` enumeration
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### Custom Database Scripts
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- Custom login script with SQL injection in username lookup
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- `get_user` script returning excessive profile fields
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- Scripts with hardcoded credentials or weak hashing
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## Advanced Techniques
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**Cross-Application Token Confusion**
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- Same `client_secret` reused across environments (dev/prod)
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- Multiple APIs sharing signing keys without `aud` validation
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**Resource Owner Password Grant (if enabled)**
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- Legacy grant enabled — direct username/password to token endpoint, bypassing Universal Login MFA
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**Impersonation / Delegation**
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- `act_as` or delegation features misconfigured (legacy features in older tenants)
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## Testing Methodology
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1. **Extract tenant config** — Domain, client_id, audience, scopes from app
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2. **Callback/origin matrix** — Fuzz Allowed Callback URLs and Web Origins
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3. **Token validation** — Swap audiences, strip scopes, expired tokens, wrong signing keys
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4. **Org boundary** — Two org users accessing each other's org-scoped resources
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5. **MFA policy** — Sensitive actions without step-up; API paths bypassing MFA
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6. **Management API** — Hunt for leaked M2M creds; test scope boundaries
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7. **Rules/Actions** — Trace claim injection from `user_metadata` / `app_metadata`
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## Validation
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1. Demonstrate account takeover or cross-org access with token/callback/metadata abuse
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2. Show API accepting token without required scope/permission/audience
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3. MFA bypass PoC on protected application flow
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4. Document Auth0 setting (Rule, Application config, API RBAC) root cause
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5. Provide authorize → callback → API request chain with evidence
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## False Positives
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- Callback URL validation rejects all fuzz attempts consistently
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- API validates `aud`, `iss`, `scope`/`permissions` on every request
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- MFA enforced via Auth0 Action on every login for sensitive apps
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- `app_metadata` writable only by admin via Management API, not user signup
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- Organizations feature correctly binds `org_id` in token and API enforces it
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## Impact
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- Full account takeover across Auth0-connected applications
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- Cross-tenant data breach in B2B org deployments
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- Privilege escalation via metadata/claim injection in Rules
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- Mass user enumeration/modification via Management API abuse
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## Pro Tips
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1. Always capture full authorize URL — `audience` and `scope` reveal API targets
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2. Decode access token JWT — check `permissions`, `scope`, `org_id`, `https://.../roles` claims
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3. Test dev/stage tenants separately — often weaker callback rules
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4. Pair with `oauth` and `authentication_jwt` skills for flow/token layer testing
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5. Management API M2M creds in CI logs are high-value — search GitHub, buckets, artifacts
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## Summary
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Auth0 security spans tenant configuration (callbacks, MFA, Rules) and downstream API token validation (`aud`, `scope`, `permissions`, `org_id`). A perfectly configured Universal Login fails if the API accepts tokens without enforcing Auth0's authorization model.
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