Vulnerability-Lookup

GHSA-R2Q4-F69C-QWFG

Vulnerability from github – Published: 2026-10-16 21:33 – Updated: 2026-10-16 21:33

Details

This issue affects Apache Kylin: from 4 through 5.0.4.

Users are recommended to upgrade to version 5.0.5, which fixes the issue.

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  "affected": [],
  "aliases": [
    "CVE-2026-68573"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-287"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-16T20:17:24Z",
    "severity": null
  },
  "details": "Improper Authentication vulnerability in Apache Kylin. Unauthenticated user may access to system cleanup actions.\u00a0Impact most to the kylin services that are directly exposed to public network, which is not common. In-house kylin deployments are mostly not impacted. \n\n\n\nThis issue affects Apache Kylin: from 4 through 5.0.4.\n\n\n\nUsers are recommended to upgrade to version 5.0.5, which fixes the issue.",
  "id": "GHSA-r2q4-f69c-qwfg",
  "modified": "2026-10-16T21:33:02Z",
  "published": "2026-10-16T21:33:02Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68573"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/4n3qt477rtvwnko2olb3hjwjll1yry8j"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/10/16/7"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2026-68573 (GCVE-0-2026-68573)

Vulnerability from cvelistv5 – Published: 2026-10-16 19:32 – Updated: 2026-10-16 20:11

Title

Apache Kylin: Unauthenticated Metastore Cleanup

Summary

Improper Authentication vulnerability in Apache Kylin. Unauthenticated user may access to system cleanup actions. Impact most to the kylin services that are directly exposed to public network, which is not common. In-house kylin deployments are mostly not impacted. This issue affects Apache Kylin: from 4 through 5.0.4. Users are recommended to upgrade to version 5.0.5, which fixes the issue.

Severity

No CVSS data available.

CWE

CWE-287 - Improper Authentication

Assigner

apache CNA under the mitre root

CNA scorecard B 76/100 over 946 records in the last 180 days details

References

2 references

URL	Tags
https://lists.apache.org/thread.html/4n3qt477rtvw…	vendor-advisory
http://www.openwall.com/lists/oss-security/2026/10/16/7

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Kylin	Affected: 4.0.0 , ≤ 5.0.4 (semver)

Credits

Fabian Fleischer MopMonk-AI Wanxin Yin

Show details on NVD website

JSON

To clipboard

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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

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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.

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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