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CVE Record

CVE-2022-31074: KubeEdge Cloud AdmissionController component DoS

KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. Prior to versions 1.11.1, 1.10.2, and 1.9.4, several endpoints in the Cloud AdmissionController may be susceptible to a DoS attack if an HTTP request containing a very large Body is sent to it. The consequence of the exhaustion is that the Cloud AdmissionController will be in denial of service. This bug has been fixed in Kubeedge 1.11.1, 1.10.2, and 1.9.4. There is currently no known workaround.

MediumCVSS 4.5Not KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

Older KubeEdge releases can have their Cloud AdmissionController knocked offline by oversized HTTP request bodies. The impact is service availability, not data theft or tampering. The issue matters most for organizations running affected KubeEdge control-plane components where admission services are reachable from adjacent or trusted network paths.

Executive priority

Prioritize remediation for production KubeEdge environments where admission control availability affects deployment, validation, or edge operations. The rating is moderate because exploitation is constrained, but downtime of admission services can disrupt operational workflows.

Technical view

CVE-2022-31074 is CWE-400 resource exhaustion in several KubeEdge Cloud AdmissionController endpoints before 1.9.4, 1.10.2, and 1.11.1. CVSS 3.1 is 4.5 with adjacent-network access, low complexity, high privileges, no user interaction, and high availability impact.

Likely exposure

Exposure is likely limited to KubeEdge deployments running versions below 1.9.4, 1.10.0 through 1.10.1, or 1.11.0 with the Cloud AdmissionController in use. Internet-wide exposure is not supported by the provided sources.

Exploitation context

The provided sources do not report active exploitation, and CISA KEV status is false. Exploitation requires high privileges and adjacent-network access, but a successful attack can exhaust AdmissionController resources and cause denial of service.

Researcher notes

Evidence supports a denial-of-service condition from large HTTP request bodies against several Cloud AdmissionController endpoints. The sources do not name affected endpoint paths, public exploitation, or a workaround. Avoid assuming broader KubeEdge component impact beyond the advisory.

Mitigation direction

  • Upgrade KubeEdge to 1.11.1, 1.10.2, 1.9.4, or later supported versions.
  • Treat network restrictions as compensating controls, not a vendor-stated workaround.
  • Limit AdmissionController reachability to trusted cluster or edge network paths where possible.
  • Monitor vendor guidance because the advisory states there is no known workaround.

Validation and detection

  • Inventory KubeEdge versions across control-plane and edge orchestration environments.
  • Confirm whether the Cloud AdmissionController component is deployed and reachable.
  • Check exposure paths against adjacent or trusted network boundaries.
  • Review availability logs for unexplained AdmissionController failures or resource exhaustion symptoms.
Prepared
Confidence
high
Sources
3

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.

ATT&CK lookup starting points

Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.

cwe · low confidence lookup

CWE-400: Exact CWE lookup

Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.

Open ATT&CK lookup
cve · low confidence lookup

CVE-2022-31074 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

Open ATT&CK lookup
Vulnerability profileCVE Program record
Severity
Medium
CVSS
4.5 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

1CVSS vectors
0Timeline events
0ADP providers
2Source links

CVSS vector scores

1 official score

We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.

ScoreVersionSeverityVectorExploitImpactSource
4.5CVSS 3.1MediumCVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H0.93.6Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

4.5Medium
CVSS 3.1 vector shape for CVE-2022-31074Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
kubeedgekubeedge< 1.9.4, >= 1.10.0, < 1.10.2, = 1.11.0Listed
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-400 · source CWE mapping

Uncontrolled Resource Consumption

Uncontrolled Resource Consumption represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.