CVE-2025-21574 (GCVE-0-2025-21574)
Vulnerability from cvelistv5 – Published: 2025-04-15 20:30 – Updated: 2025-11-03 19:35
VLAI
EPSS
VEX
Summary
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Parser). Supported versions that are affected are 8.0.0-8.0.41, 8.4.0-8.4.4 and 9.0.0-9.2.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-16 14:42 UTC
CWE
- Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Cluster. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Cluster.
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.oracle.com/security-alerts/cpuapr2025.html | vendor-advisory |
| https://security.netapp.com/advisory/ntap-2025050… |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Oracle Corporation | MySQL Cluster |
Affected:
7.6.0 , ≤ 7.6.33
(semver)
Affected: 8.0.0 , ≤ 8.0.41 (semver) Affected: 8.4.0 , ≤ 8.4.4 (semver) Affected: 9.0.0 , ≤ 9.2.0 (semver) |
guessed | |
| Oracle Corporation | MySQL Server |
Affected:
8.0.0 , ≤ 8.0.41
(semver)
Affected: 8.4.0 , ≤ 8.4.4 (semver) Affected: 9.0.0 , ≤ 9.2.0 (semver) |
guessed |
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"assignerOrgId": "43595867-4340-4103-b7a2-9a5208d29a85",
"assignerShortName": "oracle",
"cveId": "CVE-2025-21574",
"datePublished": "2025-04-15T20:30:49.813Z",
"dateReserved": "2024-12-24T23:18:54.785Z",
"dateUpdated": "2025-04-16T14:44:21.189Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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