FKIE_CVE-2026-40868
Vulnerability from fkie_nvd - Published: 2026-04-21 19:16 - Updated: 2026-06-17 10:45
Severity
Summary
Kyverno is a policy engine designed for cloud native platform engineering teams. Prior to 1.16.4, kyverno’s apiCall servicecall helper implicitly injects Authorization: Bearer ... using the kyverno controller serviceaccount token when a policy does not explicitly set an Authorization header. Because context.apiCall.service.url is policy-controlled, this can send the kyverno serviceaccount token to an attacker-controlled endpoint (confused deputy). Namespaced policies are blocked from servicecall usage by the namespaced urlPath gate in pkg/engine/apicall/apiCall.go, so this report is scoped to ClusterPolicy and global context usage. This vulnerability is fixed in 1.16.4.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/kyverno/kyverno/security/advisories/GHSA-q93q-v844-jrqp | Exploit, Mitigation, Vendor Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://github.com/kyverno/kyverno/security/advisories/GHSA-q93q-v844-jrqp | Exploit, Mitigation, Vendor Advisory |
{
"affected": [
{
"affectedData": [
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"product": "kyverno",
"vendor": "kyverno",
"versions": [
{
"status": "affected",
"version": "\u003c 1.16.4"
}
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}
],
"source": "security-advisories@github.com"
}
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"configurations": [
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"matchCriteriaId": "380BEA9B-8371-4EA9-A225-86EBBE80F50F",
"versionEndExcluding": "1.16.4",
"vulnerable": true
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "Kyverno is a policy engine designed for cloud native platform engineering teams. Prior to 1.16.4, kyverno\u2019s apiCall servicecall helper implicitly injects Authorization: Bearer ... using the kyverno controller serviceaccount token when a policy does not explicitly set an Authorization header. Because context.apiCall.service.url is policy-controlled, this can send the kyverno serviceaccount token to an attacker-controlled endpoint (confused deputy). Namespaced policies are blocked from servicecall usage by the namespaced urlPath gate in pkg/engine/apicall/apiCall.go, so this report is scoped to ClusterPolicy and global context usage. This vulnerability is fixed in 1.16.4."
}
],
"id": "CVE-2026-40868",
"lastModified": "2026-06-17T10:45:47.693",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
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"ssvcV203": [
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{
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{
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],
"role": "CISA Coordinator",
"timestamp": "2026-04-22T13:34:55.762312Z",
"version": "2.0.3"
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"published": "2026-04-21T19:16:18.420",
"references": [
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"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
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"lang": "en",
"value": "CWE-922"
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],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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