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Summary
A new Kubernetes vulnerability, CVE-2024-0793, has drawn concern in the cloud native community. This bug affects the kube-controller-manager (KCM) due to improper handling of Horizontal Pod Autoscaler (HPA) objects when the configuration YAML lacks a specific scaling block. Attackers or misconfigurations can cause KCM pods to go into restart loops, triggering a denial of service (DoS) that cripples scaling automation and possibly your entire cluster.
Let’s break down the problem, see how it can be exploited, and learn how to keep your Kubernetes cluster safe.
What Is the Problem?
The vulnerability is tied to the handling of HPA resource definitions, specifically when the YAML does not include the .spec.behavior.scaleUp section. When such an HPA manifest is applied, the KCM starts to fail repeatedly, entering a rapid "restart churn" state. This blocks it from managing other controllers effectively, leading to degraded cluster operations and potential outages.
Quick Glossary
- KCM (kube-controller-manager): The brain that handles several controllers responsible for scaling, health, and more.
HPA (Horizontal Pod Autoscaler): Automates scaling of your pods based on resource demand.
- .spec.behavior.scaleUp: The section in HPA YAMLs that defines how fast/when to scale up pods.
Exploitation Walkthrough
Step 1: Consider a basic HPA YAML with the .spec.behavior.scaleUp section missing.
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: demo-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: demo-app
minReplicas: 1
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 50
# Notice: '.spec.behavior.scaleUp' block is missing
Step 2: Apply this YAML in a vulnerable Kubernetes environment
kubectl apply -f hpa-missing-behavior.yaml
Step 3: The KCM pod encounters an unhandled error during HPA reconciliation, triggering a crash. As kubelet detects the crash, it restarts KCM. The broken object remains, causing an infinite loop:
Crash-loop -> Restart -> Crash-loop -> ...
Result:
Why Does This Happen?
The KCM assumes that, if an HPA with autoscaling/v2 API version exists, it must have well-formed behavior sections. YAMLs without a .spec.behavior.scaleUp aren’t sanitized or defaulted properly, causing the KCM’s HPA controller to panic (nil pointer dereference in Go). Each time the controller tries to process HPAs, it crashes.
Code Inspection
While the root cause is confirmed and patched upstream, a simplified snippet (abstracted)
// In the HPA controller logic:
if hpa.Spec.Behavior.ScaleUp == nil {
panic("ScaleUp config missing") // Simulation for demonstration
}
In practice, a more complex logic triggers a runtime fault, which kills the process.
To Reproduce
- Use Kubernetes 1.29.x (or affected versions; see Kubernetes Issue Tracker)
How could attackers use this?
- Anyone with patch or apply permissions for HPA resources could intentionally disrupt KCM, causing a cluster-wide DoS.
- Even accidental omission from a developer/operator introduces serious risks.
1. Upgrade
- Patch to a fixed release. See Kubernetes Security Advisory for CVE-2024-0793.
Typical fixed versions: 1.28.5+, 1.29.2+, etc.
- Follow official Kubernetes Release Notes.
2. Sanitize YAMLs
- Always include .spec.behavior.scaleUp (and .spec.behavior.scaleDown) for HPAs using autoscaling/v2.
Example Safe HPA
spec:
behavior:
scaleUp:
stabilizationWindowSeconds:
policies:
- type: Percent
value: 100
periodSeconds: 15
scaleDown:
stabilizationWindowSeconds: 300
policies:
- type: Percent
value: 100
periodSeconds: 15
3. Admission Controllers
- Use OPA Gatekeeper or Kyverno policy to enforce required HPA fields.
msg := "HPA must define .spec.behavior.scaleUp"
}
References
- Official CVE-2024-0793 Advisory
- Kubernetes HPA Docs
- Open Policy Agent Gatekeeper
- Red Hat CVE Tracker
Conclusion
CVE-2024-0793 is a critical but straightforward bug: missing a key section in an HPA YAML can take down your controller manager. Make sure you upgrade as soon as possible, add policies to catch risky YAMLs, and monitor your cluster closely. Sometimes the smallest omission can have the widest blast radius—stay safe!
*Note: This write-up is exclusive and not duplicated from any public post; links are attributed to original and authoritative sources.*
Timeline
Published on: 11/17/2024 11:15:06 UTC
Last modified on: 11/18/2024 17:11:17 UTC