CVE-2026-22314 (GCVE-0-2026-22314)
Vulnerability from cvelistv5 – Published: 2026-05-20 10:29 – Updated: 2026-10-13 13:56This CVE ID has been rejected or withdrawn by its CVE Numbering Authority based on the reported functionality projecting intended administrative functionality.
Show details on NVD website{
"containers": {
"cna": {
"providerMetadata": {
"dateUpdated": "2026-10-13T13:56:38.393Z",
"orgId": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
"shortName": "ENISA"
},
"rejectedReasons": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "This CVE ID has been rejected or withdrawn by its CVE Numbering Authority based on \u003cspan\u003ethe reported functionality projecting intended administrative\nfunctionality.\u0026nbsp;\u003c/span\u003e"
}
],
"value": "This CVE ID has been rejected or withdrawn by its CVE Numbering Authority based on the reported functionality projecting intended administrative\nfunctionality."
}
],
"x_generator": {
"engine": "Vulnogram 1.0.5"
}
}
},
"cveMetadata": {
"assignerOrgId": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
"assignerShortName": "ENISA",
"cveId": "CVE-2026-22314",
"datePublished": "2026-05-20T10:29:38.661Z",
"dateRejected": "2026-10-13T13:56:38.393Z",
"dateReserved": "2026-01-07T09:31:00.563Z",
"dateUpdated": "2026-10-13T13:56:38.393Z",
"state": "REJECTED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"vulnrichment": {
"containers": {
"cna": {
"providerMetadata": {
"dateUpdated": "2026-10-13T13:56:38.393Z",
"orgId": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
"shortName": "ENISA"
},
"rejectedReasons": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "This CVE ID has been rejected or withdrawn by its CVE Numbering Authority based on \u003cspan\u003ethe reported functionality projecting intended administrative\nfunctionality.\u0026nbsp;\u003c/span\u003e"
}
],
"value": "This CVE ID has been rejected or withdrawn by its CVE Numbering Authority based on the reported functionality projecting intended administrative\nfunctionality."
}
],
"x_generator": {
"engine": "Vulnogram 1.0.5"
}
}
},
"cveMetadata": {
"assignerOrgId": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
"assignerShortName": "ENISA",
"cveId": "CVE-2026-22314",
"datePublished": "2026-05-20T10:29:38.661Z",
"dateRejected": "2026-10-13T13:56:38.393Z",
"dateReserved": "2026-01-07T09:31:00.563Z",
"dateUpdated": "2026-10-13T13:56:38.393Z",
"state": "REJECTED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
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.
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.