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EUVD-2026-215952
European Vulnerability Database identifier assigned by ENISAReserved
2026-10-02 06:48
Assigner
ENISA
Alias of
a CVE record, shown under related vulnerabilities.
This identifier carries no description, severity or references of its own:
they belong to that CVE.
{
"assigner": "ENISA",
"date_reserved": "2026-10-02T06:48:27.079585+00:00",
"id": "EUVD-2026-215952"
}
CVE-2021-25646 (GCVE-0-2021-25646)
Vulnerability from cvelistv5 – Published: 2021-01-29 19:15 – Updated: 2025-02-13 16:27
VLAI
EPSS
VEX
Title
Authenticated users can override system configurations in their requests which allows them to execute arbitrary code.
Summary
Apache Druid includes the ability to execute user-provided JavaScript code embedded in various types of requests. This functionality is intended for use in high-trust environments, and is disabled by default. However, in Druid 0.20.0 and earlier, it is possible for an authenticated user to send a specially-crafted request that forces Druid to run user-provided JavaScript code for that request, regardless of server configuration. This can be leveraged to execute code on the target machine with the privileges of the Druid server process.
Severity
No CVSS data available.
CWE
- Remote code execution
Assigner
References
16 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Druid |
Affected:
0.20.0 and earlier , ≤ 0.20.0
(custom)
|
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"url": "https://lists.apache.org/thread.html/r443e2916c612fbd119839c0fc0729327d6031913a75081adac5b43ad@%3Cdev.druid.apache.org%3E"
},
{
"name": "http://packetstormsecurity.com/files/162345/Apache-Druid-0.20.0-Remote-Command-Execution.html",
"refsource": "MISC",
"url": "http://packetstormsecurity.com/files/162345/Apache-Druid-0.20.0-Remote-Command-Execution.html"
}
]
},
"source": {
"discovery": "UNKNOWN"
},
"work_around": [
{
"lang": "en",
"value": "Users should upgrade to Druid 0.20.1. Whenever possible, network access to cluster machines should be restricted to trusted hosts only."
}
]
}
}
},
"cveMetadata": {
"assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"assignerShortName": "apache",
"cveId": "CVE-2021-25646",
"datePublished": "2021-01-29T19:15:12.000Z",
"dateReserved": "2021-01-21T00:00:00.000Z",
"dateUpdated": "2025-02-13T16:27:49.264Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
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Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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.
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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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