CVE-2014-7840 (GCVE-0-2014-7840)
Vulnerability from cvelistv5 – Published: 2014-12-12 15:00 – Updated: 2024-08-06 13:03
VLAI
EPSS
VEX
Summary
The host_from_stream_offset function in arch_init.c in QEMU, when loading RAM during migration, allows remote attackers to execute arbitrary code via a crafted (1) offset or (2) length value in savevm data.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
6 references
| URL | Tags |
|---|---|
| http://rhn.redhat.com/errata/RHSA-2015-0624.html | vendor-advisoryx_refsource_REDHAT |
| http://git.qemu.org/?p=qemu.git%3Ba=commit%3Bh=0b… | x_refsource_CONFIRM |
| http://thread.gmane.org/gmane.comp.emulators.qemu… | mailing-listx_refsource_MLIST |
| http://rhn.redhat.com/errata/RHSA-2015-0349.html | vendor-advisoryx_refsource_REDHAT |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entryx_refsource_XF |
| https://bugzilla.redhat.com/show_bug.cgi?id=1163075 | x_refsource_CONFIRM |
Date Public
2014-11-12 00:00
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"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-06-28T06:47:50+00:00",
"cve": "CVE-2014-7840",
"id": "CVE-2014-7840",
"initial_release_date": "2014-11-12T00:00:00+00:00",
"product_status:fixed": "72",
"product_status:known_affected": "7",
"product_status:under_investigation": "3",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "qemu: insufficient parameter validation during ram load",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2014/cve-2014-7840.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-04T01:09:46Z",
"cve": "CVE-2014-7840",
"id": "CVE-2014-7840",
"initial_release_date": "2023-02-15T05:26:26Z",
"product_status:known_not_affected": "150",
"product_status:recommended": "1810",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2014-7840",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2014-7840.json",
"version": "19"
}
}
}
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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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