Kyverno up to 1.19.1 Admission Control ValidateMatchExcludeConflict resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.72+ |
Summary
A vulnerability, which was classified as critical, has been found in Kyverno up to 1.19.1. Affected by this vulnerability is the function ValidateMatchExcludeConflict of the component Admission Control. This manipulation causes resource consumption.
The identification of this vulnerability is CVE-2026-122306. It is possible to initiate the attack remotely. There is no exploit available.
It is advisable to upgrade the affected component.
Details
A vulnerability classified as critical was found in Kyverno up to 1.19.1. Affected by this vulnerability is the function ValidateMatchExcludeConflict of the component Admission Control. The manipulation with an unknown input leads to a resource consumption vulnerability. The CWE definition for the vulnerability is CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. As an impact it is known to affect availability. The summary by CVE is:
Kyverno before 1.19.2 contains a denial of service vulnerability that allows namespaced policy authors to exhaust admission controller CPU by submitting pathological wildcard patterns. Attackers can create a Policy with crafted match and exclude names evaluated by ValidateMatchExcludeConflict, pinning cores and causing cluster-wide webhook timeouts that block resource operations.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-122306 since 11/05/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 1.19.2 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
Website
- Product: https://github.com/kyverno/kyverno/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.1VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.5
VulDB Temp Score: 6.2
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.7
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
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 1.19.2
Timeline
11/05/2026 Advisory disclosed11/05/2026 CVE reserved
11/05/2026 VulDB entry created
11/05/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CNA: VulnCheck
CVE: CVE-2026-122306 (🔒)
GCVE (CVE): GCVE-0-2026-122306
GCVE (VulDB): GCVE-100-431299
Entry
Created: 11/05/2026 03:43Changes: 11/05/2026 03:43 (76)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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