GSD-2012-0779
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Adobe Flash Player before 10.3.183.19 and 11.x before 11.2.202.235 on Windows, Mac OS X, and Linux; before 11.1.111.9 on Android 2.x and 3.x; and before 11.1.115.8 on Android 4.x allows remote attackers to execute arbitrary code via a crafted file, related to an "object confusion vulnerability," as exploited in the wild in May 2012.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2012-0779",
"description": "Adobe Flash Player before 10.3.183.19 and 11.x before 11.2.202.235 on Windows, Mac OS X, and Linux; before 11.1.111.9 on Android 2.x and 3.x; and before 11.1.115.8 on Android 4.x allows remote attackers to execute arbitrary code via a crafted file, related to an \"object confusion vulnerability,\" as exploited in the wild in May 2012.",
"id": "GSD-2012-0779",
"references": [
"https://www.suse.com/security/cve/CVE-2012-0779.html",
"https://access.redhat.com/errata/RHSA-2012:0688",
"https://packetstormsecurity.com/files/cve/CVE-2012-0779"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2012-0779"
],
"details": "Adobe Flash Player before 10.3.183.19 and 11.x before 11.2.202.235 on Windows, Mac OS X, and Linux; before 11.1.111.9 on Android 2.x and 3.x; and before 11.1.115.8 on Android 4.x allows remote attackers to execute arbitrary code via a crafted file, related to an \"object confusion vulnerability,\" as exploited in the wild in May 2012.",
"id": "GSD-2012-0779",
"modified": "2023-12-13T01:20:14.193871Z",
"schema_version": "1.4.0"
}
},
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}
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},
{
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},
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},
{
"name": "adobe-flash-objecttype-code-exec(75383)",
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/75383"
}
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},
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"tags": [
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],
"url": "http://lists.opensuse.org/opensuse-security-announce/2012-05/msg00004.html"
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],
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}
]
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.3,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2019-07-18T12:21Z",
"publishedDate": "2012-05-04T19:55Z"
}
}
}
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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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