FKIE_CVE-2017-5856
Vulnerability from fkie_nvd - Published: 2017-03-16 15:59 - Updated: 2026-06-17 01:21
Severity
Summary
Memory leak in the megasas_handle_dcmd function in hw/scsi/megasas.c in QEMU (aka Quick Emulator) allows local guest OS privileged users to cause a denial of service (host memory consumption) via MegaRAID Firmware Interface (MFI) commands with the sglist size set to a value over 2 Gb.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| qemu | qemu | * | |
| debian | debian_linux | 8.0 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
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"nodes": [
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"criteria": "cpe:2.3:a:qemu:qemu:*:*:*:*:*:*:*:*",
"matchCriteriaId": "A965C2D1-C447-4324-95A4-27285ECF8909",
"versionEndIncluding": "2.8.1.1",
"vulnerable": true
}
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"negate": false,
"operator": "OR"
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Memory leak in the megasas_handle_dcmd function in hw/scsi/megasas.c in QEMU (aka Quick Emulator) allows local guest OS privileged users to cause a denial of service (host memory consumption) via MegaRAID Firmware Interface (MFI) commands with the sglist size set to a value over 2 Gb."
},
{
"lang": "es",
"value": "P\u00e9rdida de memoria en la funci\u00f3n megasas_handle_dcmd en hw/scsi/megasas.c en QEMU (tambi\u00e9n conocido como Quick Emulator) permite a usuarios locales privilegiados del SO invitado provocar una denegaci\u00f3n de servicio (consumo de la memoria del host) a trav\u00e9s de comandos MegaRAID Firmware Interface (MFI) con el tama\u00f1o de sglist establecido en un valor superior a 2 Gb."
}
],
"id": "CVE-2017-5856",
"lastModified": "2026-06-17T01:21:19.913",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 4.9,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
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"cvssMetricV31": [
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"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H",
"version": "3.1"
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"source": "nvd@nist.gov",
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"published": "2017-03-16T15:59:01.007",
"references": [
{
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"url": "http://git.qemu-project.org/?p=qemu.git%3Ba=commit%3Bh=765a707000e838c30b18d712fe6cb3dd8e0435f3"
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},
{
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"url": "http://www.securityfocus.com/bid/95999"
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},
{
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"url": "https://lists.debian.org/debian-lts-announce/2018/09/msg00007.html"
},
{
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"url": "https://security.gentoo.org/glsa/201702-28"
},
{
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"url": "http://git.qemu-project.org/?p=qemu.git%3Ba=commit%3Bh=765a707000e838c30b18d712fe6cb3dd8e0435f3"
},
{
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"url": "http://www.securityfocus.com/bid/95999"
},
{
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"tags": [
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"Patch",
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},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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],
"url": "https://lists.debian.org/debian-lts-announce/2018/09/msg00007.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://security.gentoo.org/glsa/201702-28"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-401"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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
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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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