FKIE_CVE-2007-1069
Vulnerability from fkie_nvd - Published: 2007-05-02 19:19 - Updated: 2026-06-16 22:36
Severity
Summary
The memory management in VMware Workstation before 5.5.4 allows attackers to cause a denial of service (Windows virtual machine crash) by triggering certain general protection faults (GPF).
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| vmware | workstation | * |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:vmware:workstation:*:*:*:*:*:*:*:*",
"matchCriteriaId": "D38CD779-4FA1-4367-85FA-44049EC567E9",
"versionEndIncluding": "5.5.3",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The memory management in VMware Workstation before 5.5.4 allows attackers to cause a denial of service (Windows virtual machine crash) by triggering certain general protection faults (GPF)."
},
{
"lang": "es",
"value": "La gesti\u00f3n de memoria en VMware Workstation anterior a 5.5.4 permite a atacantes remotos provocar denegaci\u00f3n de servicio (caida de la maquina virtual de windows)a trav\u00e9s del disparo de ciertas aver\u00edas generales de protecci\u00f3n (GPF)."
}
],
"id": "CVE-2007-1069",
"lastModified": "2026-06-16T22:36:52.043",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2007-05-02T19:19:00.000",
"references": [
{
"source": "cve@mitre.org",
"url": "http://osvdb.org/35507"
},
{
"source": "cve@mitre.org",
"url": "http://secunia.com/advisories/25079"
},
{
"source": "cve@mitre.org",
"url": "http://www.reversemode.com/index.php?option=com_remository\u0026Itemid=2\u0026func=fileinfo\u0026id=49"
},
{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/archive/1/467836/100/0/threaded"
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{
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"url": "http://www.securityfocus.com/archive/1/467936/30/6690/threaded"
},
{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/archive/1/469011/30/6510/threaded"
},
{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/bid/23732"
},
{
"source": "cve@mitre.org",
"url": "http://www.securitytracker.com/id?1018011"
},
{
"source": "cve@mitre.org",
"tags": [
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],
"url": "http://www.vmware.com/support/ws55/doc/releasenotes_ws55.html#554"
},
{
"source": "cve@mitre.org",
"url": "http://www.vupen.com/english/advisories/2007/1592"
},
{
"source": "cve@mitre.org",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/33994"
},
{
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"url": "http://osvdb.org/35507"
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{
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"url": "http://secunia.com/advisories/25079"
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{
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},
{
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"url": "http://www.securityfocus.com/archive/1/467836/100/0/threaded"
},
{
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"url": "http://www.securityfocus.com/archive/1/467936/30/6690/threaded"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/archive/1/469011/30/6510/threaded"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/bid/23732"
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{
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"url": "http://www.securitytracker.com/id?1018011"
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{
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"tags": [
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},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.vupen.com/english/advisories/2007/1592"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/33994"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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