GSD-2007-3091
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Race condition in Microsoft Internet Explorer 6 SP1; 6 and 7 for Windows XP SP2 and SP3; 6 and 7 for Server 2003 SP2; 7 for Vista Gold, SP1, and SP2; and 7 for Server 2008 SP2 allows remote attackers to execute arbitrary code or perform other actions upon a page transition, with the permissions of the old page and the content of the new page, as demonstrated by setInterval functions that set location.href within a try/catch expression, aka the "bait & switch vulnerability" or "Race Condition Cross-Domain Information Disclosure Vulnerability."
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2007-3091",
"description": "Race condition in Microsoft Internet Explorer 6 SP1; 6 and 7 for Windows XP SP2 and SP3; 6 and 7 for Server 2003 SP2; 7 for Vista Gold, SP1, and SP2; and 7 for Server 2008 SP2 allows remote attackers to execute arbitrary code or perform other actions upon a page transition, with the permissions of the old page and the content of the new page, as demonstrated by setInterval functions that set location.href within a try/catch expression, aka the \"bait \u0026 switch vulnerability\" or \"Race Condition Cross-Domain Information Disclosure Vulnerability.\"",
"id": "GSD-2007-3091"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2007-3091",
"modified": "2023-12-13T01:21:42.376831Z",
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2023-12-07T18:38Z",
"publishedDate": "2007-06-06T21:30Z"
}
}
}
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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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