CVE-2015-8817 (GCVE-0-2015-8817)
Vulnerability from cvelistv5 – Published: 2016-12-29 22:00 – Updated: 2024-08-06 08:29
VLAI
EPSS
VEX
Summary
QEMU (aka Quick Emulator) built to use 'address_space_translate' to map an address to a MemoryRegionSection is vulnerable to an OOB r/w access issue. It could occur while doing pci_dma_read/write calls. Affects QEMU versions >= 1.6.0 and <= 2.3.1. A privileged user inside guest could use this flaw to crash the guest instance resulting in DoS.
Severity
5.5 (Medium)
CWE
- n/a
Assigner
References
11 references
| URL | Tags |
|---|---|
| http://rhn.redhat.com/errata/RHSA-2016-2671.html | vendor-advisoryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=1300771 | x_refsource_CONFIRM |
| http://git.qemu.org/?p=qemu.git%3Ba=commit%3Bh=23… | x_refsource_CONFIRM |
| http://rhn.redhat.com/errata/RHSA-2016-2706.html | vendor-advisoryx_refsource_REDHAT |
| http://www.openwall.com/lists/oss-security/2016/03/01/1 | mailing-listx_refsource_MLIST |
| http://www.openwall.com/lists/oss-security/2016/0… | mailing-listx_refsource_MLIST |
| http://rhn.redhat.com/errata/RHSA-2016-2705.html | vendor-advisoryx_refsource_REDHAT |
| https://lists.gnu.org/archive/html/qemu-stable/20… | mailing-listx_refsource_MLIST |
| http://rhn.redhat.com/errata/RHSA-2016-2670.html | vendor-advisoryx_refsource_REDHAT |
| http://rhn.redhat.com/errata/RHSA-2016-2704.html | vendor-advisoryx_refsource_REDHAT |
| http://git.qemu.org/?p=qemu.git%3Ba=commit%3Bh=c3… | x_refsource_CONFIRM |
Date Public
2016-01-27 00:00
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "QEMU (aka Quick Emulator) built to use \u0027address_space_translate\u0027 to map an address to a MemoryRegionSection is vulnerable to an OOB r/w access issue. It could occur while doing pci_dma_read/write calls. Affects QEMU versions \u003e= 1.6.0 and \u003c= 2.3.1. A privileged user inside guest could use this flaw to crash the guest instance resulting in DoS."
},
{
"lang": "es",
"value": "QEMU (tambi\u00e9n conocido como Quick Emulator) construido para usar \u0027address_space_translate\u0027 para asignar una direcci\u00f3n a una MemoryRegionSection es vulnerable a un problema de acceso OOB r/w. Podr\u00eda ocurrir mientras se hacen llamadas pci_dma_read/write. Afecta las versiones de QEMU \u003e= 1.6.0 and \u003c= 2.3.1. Un usuario privilegiado dentro del hu\u00e9sped podr\u00eda usar esta falla para bloquear la instancia del hu\u00e9sped resultando en DoS."
}
],
"id": "CVE-2015-8817",
"lastModified": "2026-05-06T22:30:45.220",
"metrics": {
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{
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"baseSeverity": "LOW",
"cvssData": {
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 2.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
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"source": "nvd@nist.gov",
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},
"published": "2016-12-29T22:59:00.323",
"references": [
{
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"url": "http://git.qemu.org/?p=qemu.git%3Ba=commit%3Bh=23820dbfc79d1c9dce090b4c555994f2bb6a69b3"
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"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
},
{
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"value": "CWE-787"
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],
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},
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"aggregate_severity": "Low",
"current_release_date": "2026-06-28T06:33:59+00:00",
"cve": "CVE-2015-8817",
"id": "CVE-2015-8817",
"initial_release_date": "2015-01-01T00:00:00+00:00",
"product_status:fixed": "30",
"product_status:known_affected": "5",
"product_status:known_not_affected": "17",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Qemu: OOB access in address_space_rw leads to segmentation fault",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2015/cve-2015-8817.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-07-26T01:08:41Z",
"cve": "CVE-2015-8817",
"id": "CVE-2015-8817",
"initial_release_date": "2023-02-15T05:10:53Z",
"product_status:known_affected": "1",
"product_status:known_not_affected": "4",
"product_status:recommended": "188",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2015-8817",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2015-8817.json",
"version": "9"
}
}
}
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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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