Vulnerability Database

359,603

Total vulnerabilities in the database

CVE-2026-54247 — github.com/zalando/skipper

Allocation of Resources Without Limits or Throttling

Summary

The Kubernetes admission webhook handler reads the entire request body using io.ReadAll(r.Body) without any size limit. Any client that can reach the webhook port within the cluster can send a multi-GB payload, causing the skipper process to exhaust memory and be OOM-killed. This disrupts all Kubernetes admission control, potentially blocking all pod creation and updates.

Vulnerable Code

// dataclients/kubernetes/admission/admission.go:76 body, err := io.ReadAll(r.Body) // <-- NO SIZE LIMIT if err != nil { log.Errorf("Failed to read request: %v", err) w.WriteHeader(http.StatusInternalServerError) invalidRequests.WithLabelValues(admitterName).Inc() return } var review admissionReview err = json.Unmarshal(body, &review)

For comparison, the OPA filter has a body size limit:

// filters/openpolicyagent/openpolicyagent.go:68-70 const DefaultMaxRequestBodySize = 1 << 20 // 1MB // OPA uses a bufferedBodyReader with size limits

Attack Path

  1. Attacker identifies the admission webhook endpoint (default: :9443/admission or configured path)
  2. Attacker sends: POST /admission HTTP/1.1, Content-Type: application/json with a multi-GB request body
  3. io.ReadAll(r.Body) allocates unbounded memory for the entire body
  4. Skipper process is OOM-killed by the Kubernetes kubelet

Permission Boundary Analysis

  • Attacker: Any client with network access to the admission webhook port within the Kubernetes cluster
  • Boundary crossed: Memory safety — unbounded allocation from attacker-controlled input
  • Preconditions: Admission webhook endpoint must be network-reachable (default Kubernetes deployment exposes it within cluster network)
  • Comparison: OPA filter has DefaultMaxRequestBodySize (1MB) and semaphore-based memory limit; admission handler has neither

Evidence

| File | Lines | Description | |------|-------|-------------| | dataclients/kubernetes/admission/admission.go | 76 | io.ReadAll(r.Body) without size limit | | filters/openpolicyagent/openpolicyagent.go | 68-70 | OPA filter has DefaultMaxRequestBodySize = 1MB | | filters/openpolicyagent/openpolicyagent.go | 1333-1336 | OPA uses bufferedBodyReader with size limits |

Tests

  • dataclients/kubernetes/admission/admission_test.go exists but does not test body size limits

Impact

The admission webhook handler reads the entire request body using io.ReadAll(r.Body) without a size limit. An attacker with in-cluster network access and a valid Kubernetes client certificate can send a multi-GB payload to the webhook endpoint, causing the skipper process to exhaust memory and be OOM-killed. This disrupts admission control for Ingress and RouteGroup resources until the process is automatically restarted by the kubelet.

Scope of impact: Ingress and RouteGroup admission only — not pod creation or other admission controllers.

Recovery: Kubernetes automatically restarts the OOM-killed process, limiting downtime.

Prerequisites: (1) In-cluster network access to the webhook port, (2) valid Kubernetes client certificate.

Mitigation

  1. Add http.MaxBytesReader or equivalent body size limit before io.ReadAll
  2. Follow the OPA filter pattern: define DefaultMaxRequestBodySize and use a buffered reader with size limits
  3. Add a configurable --admission-max-body-size flag

CVSS v3:

  • Severity: Low
  • Score: 4.3
  • AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

CWEs:

Frequently Asked Questions

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

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Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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