Kyverno up to 1.15.2/1.16.2 Admission Controller Service privileges management
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Kyverno up to 1.15.2/1.16.2. Impacted is an unknown function of the component Admission Controller Service. This manipulation causes privileges management. This vulnerability is handled as CVE-2026-22039. The attack can be initiated remotely. There is not any exploit available. You should upgrade the affected component.
Details
A vulnerability was found in Kyverno up to 1.15.2/1.16.2. It has been declared as critical. Affected by this vulnerability is some unknown functionality of the component Admission Controller Service. The manipulation with an unknown input leads to a privileges management vulnerability. The CWE definition for the vulnerability is CWE-269. The product does not properly assign, modify, track, or check privileges for an actor, creating an unintended sphere of control for that actor. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Kyverno is a policy engine designed for cloud native platform engineering teams. Versions prior to 1.16.3 and 1.15.3 have a critical authorization boundary bypass in namespaced Kyverno Policy apiCall. The resolved `urlPath` is executed using the Kyverno admission controller ServiceAccount, with no enforcement that the request is limited to the policy’s namespace. As a result, any authenticated user with permission to create a namespaced Policy can cause Kyverno to perform Kubernetes API requests using Kyverno’s admission controller identity, targeting any API path allowed by that ServiceAccount’s RBAC. This breaks namespace isolation by enabling cross-namespace reads (for example, ConfigMaps and, where permitted, Secrets) and allows cluster-scoped or cross-namespace writes (for example, creating ClusterPolicies) by controlling the urlPath through context variable substitution. Versions 1.16.3 and 1.15.3 contain a patch for the vulnerability.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-22039 since 01/05/2026. The exploitation appears to be easy. The attack can be launched remotely. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.
Upgrading to version 1.15.3 or 1.16.3 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at CERT Bund (WID-SEC-2026-1152). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Affected
- Open Source Kyverno
Product
Name
Version
Website
- Product: https://github.com/kyverno/kyverno/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.1VulDB Meta Temp Score: 7.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.9
CNA Vector (GitHub_M): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Privileges managementCWE: CWE-269 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Kyverno 1.15.3/1.16.3
Timeline
01/05/2026 CVE reserved01/27/2026 Advisory disclosed
01/27/2026 VulDB entry created
04/25/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-22039 (🔒)
GCVE (CVE): GCVE-0-2026-22039
GCVE (VulDB): GCVE-100-343051
CERT Bund: WID-SEC-2026-1152 - Kyverno: Mehrere Schwachstellen
Entry
Created: 01/27/2026 17:29Updated: 04/25/2026 05:42
Changes: 01/27/2026 17:29 (63), 04/25/2026 05:42 (7)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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