FKIE_CVE-2014-0144
Vulnerability from fkie_nvd - Published: 2022-09-29 03:15 - Updated: 2026-06-17 00:02
Severity
Summary
QEMU before 2.0.0 block drivers for CLOOP, QCOW2 version 2 and various other image formats are vulnerable to potential memory corruptions, integer/buffer overflows or crash caused by missing input validations which could allow a remote user to execute arbitrary code on the host with the privileges of the QEMU process.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| qemu | qemu | * | |
| redhat | virtualization | 3.0 | |
| redhat | enterprise_linux_desktop | 6.0 | |
| redhat | enterprise_linux_eus | 6.5 | |
| redhat | enterprise_linux_openstack_platform | 5 | |
| redhat | enterprise_linux_server | 6.0 | |
| redhat | enterprise_linux_server_aus | 6.5 | |
| redhat | enterprise_linux_server_tus | 6.5 | |
| redhat | enterprise_linux_workstation | 6.0 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "QEMU before 2.0.0 block drivers for CLOOP, QCOW2 version 2 and various other image formats are vulnerable to potential memory corruptions, integer/buffer overflows or crash caused by missing input validations which could allow a remote user to execute arbitrary code on the host with the privileges of the QEMU process."
},
{
"lang": "es",
"value": "Los controladores de bloque de QEMU versiones anteriores a 2.0.0 para CLOOP, QCOW2 versi\u00f3n 2 y varios otros formatos de imagen son vulnerables a posibles corrupciones de memoria, desbordamientos de enteros/buffer o bloqueos causados por falta de comprobaciones de entrada que podr\u00edan permitir a un usuario remoto ejecutar c\u00f3digo arbitrario en el host con los privilegios del proceso QEMU"
}
],
"id": "CVE-2014-0144",
"lastModified": "2026-06-17T00:02:22.777",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 6.0,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-09-29T03:15:11.087",
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}
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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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