GSD-2007-0221
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Integer overflow in the IMAP (IMAP4) support in Microsoft Exchange Server 2000 SP3 allows remote attackers to cause a denial of service (service hang) via crafted literals in an IMAP command, aka the "IMAP Literal Processing Vulnerability."
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2007-0221",
"description": "Integer overflow in the IMAP (IMAP4) support in Microsoft Exchange Server 2000 SP3 allows remote attackers to cause a denial of service (service hang) via crafted literals in an IMAP command, aka the \"IMAP Literal Processing Vulnerability.\"",
"id": "GSD-2007-0221"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "Integer overflow in the IMAP (IMAP4) support in Microsoft Exchange Server 2000 SP3 allows remote attackers to cause a denial of service (service hang) via crafted literals in an IMAP command, aka the \"IMAP Literal Processing Vulnerability.\"",
"id": "GSD-2007-0221",
"modified": "2023-12-13T01:21:35.313202Z",
"schema_version": "1.4.0"
}
},
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"url": "http://www.vupen.com/english/advisories/2007/1711"
},
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}
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{
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},
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"url": "https://docs.microsoft.com/en-us/security-updates/securitybulletins/2007/ms07-026"
},
{
"name": "HPSBST02214",
"refsource": "HP",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/archive/1/468871/100/200/threaded"
}
]
}
},
"impact": {
"baseMetricV2": {
"cvssV2": {
"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,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2020-04-09T13:30Z",
"publishedDate": "2007-05-08T23:19Z"
}
}
}
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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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