CVE-2012-2883 (GCVE-0-2012-2883)
Vulnerability from cvelistv5 – Published: 2012-09-26 10:00 – Updated: 2024-08-06 19:50
VLAI
EPSS
VEX
Summary
Skia, as used in Google Chrome before 22.0.1229.79, allows remote attackers to cause a denial of service or possibly have unspecified other impact via vectors that trigger an out-of-bounds write operation, a different vulnerability than CVE-2012-2874.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entryx_refsource_XF |
| https://oval.cisecurity.org/repository/search/def… | vdb-entrysignaturex_refsource_OVAL |
| http://googlechromereleases.blogspot.com/2012/09/… | x_refsource_CONFIRM |
| https://code.google.com/p/chromium/issues/detail?… | x_refsource_CONFIRM |
| http://lists.opensuse.org/opensuse-security-annou… | vendor-advisoryx_refsource_SUSE |
Date Public
2012-09-25 00:00
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/78827"
},
{
"source": "chrome-cve-admin@google.com",
"url": "https://oval.cisecurity.org/repository/search/definition/oval%3Aorg.mitre.oval%3Adef%3A15772"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://googlechromereleases.blogspot.com/2012/09/stable-channel-update_25.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://lists.opensuse.org/opensuse-security-announce/2012-10/msg00012.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://code.google.com/p/chromium/issues/detail?id=140803"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/78827"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://oval.cisecurity.org/repository/search/definition/oval%3Aorg.mitre.oval%3Adef%3A15772"
}
],
"sourceIdentifier": "chrome-cve-admin@google.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"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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