FKIE_CVE-2024-52895
Vulnerability from fkie_nvd - Published: 2025-02-14 15:15 - Updated: 2026-06-17 08:07
Severity
Summary
IBM i 7.4 and 7.5 is vulnerable to a database access denial of service caused by a bypass of a database capabilities restriction check. A privileged bad actor can remove or otherwise impact database infrastructure files resulting in incorrect behavior of software products that rely upon the database.
References
| URL | Tags | ||
|---|---|---|---|
| psirt@us.ibm.com | https://www.ibm.com/support/pages/node/7183052 | Vendor Advisory |
{
"affected": [
{
"affectedData": [
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"defaultStatus": "unaffected",
"product": "i",
"vendor": "IBM",
"versions": [
{
"status": "affected",
"version": "7.4, 7.5"
}
]
}
],
"source": "psirt@us.ibm.com"
}
],
"configurations": [
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"vulnerable": true
},
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "IBM i 7.4 and 7.5 is vulnerable to a database access denial of service caused by a bypass of a database capabilities restriction check. A privileged bad actor can remove or otherwise impact database infrastructure files resulting in incorrect behavior of software products that rely upon the database."
},
{
"lang": "es",
"value": "IBM i 7.4 y 7.5 son vulnerables a una denegaci\u00f3n de servicio de acceso a la base de datos causada por una omisi\u00f3n de una comprobaci\u00f3n de restricci\u00f3n de capacidades de la base de datos. Un actor malintencionado con privilegios puede eliminar o afectar de otro modo los archivos de infraestructura de la base de datos, lo que da lugar a un comportamiento incorrecto de los productos de software que dependen de la base de datos."
}
],
"id": "CVE-2024-52895",
"lastModified": "2026-06-17T08:07:49.523",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
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"impactScore": 3.6,
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"type": "Secondary"
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{
"automatable": "no"
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{
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"role": "CISA Coordinator",
"timestamp": "2025-02-14T15:01:42.964479Z",
"version": "2.0.3"
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}
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},
"published": "2025-02-14T15:15:09.210",
"references": [
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"source": "psirt@us.ibm.com",
"tags": [
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"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Analyzed",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-754"
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"type": "Secondary"
}
]
}
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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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