FKIE_CVE-2010-3451
Vulnerability from fkie_nvd - Published: 2011-01-28 22:00 - Updated: 2026-06-16 23:22
Severity
Summary
Use-after-free vulnerability in oowriter in OpenOffice.org (OOo) 2.x and 3.x before 3.3 allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via malformed tables in an RTF document.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| apache | openoffice | * | |
| canonical | ubuntu_linux | 8.04 | |
| canonical | ubuntu_linux | 9.10 | |
| canonical | ubuntu_linux | 10.04 | |
| canonical | ubuntu_linux | 10.10 | |
| debian | debian_linux | 5.0 | |
| debian | debian_linux | 6.0 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Use-after-free vulnerability in oowriter in OpenOffice.org (OOo) 2.x and 3.x before 3.3 allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via malformed tables in an RTF document."
},
{
"lang": "es",
"value": "Vulnerabilidad uso despu\u00e9s de liberaci\u00f3n en oowriter en OpenOffice.org (OOo) v2.x y v3.x antereiores a v3.3 permite a atacantes remotos provocar una denegaci\u00f3n de servicio (ca\u00edda de aplicaci\u00f3n) o posiblemente ejecutar c\u00f3digo arbitrario a trav\u00e9s de tablas con formato incorrecto en un documento RTF."
}
],
"id": "CVE-2010-3451",
"lastModified": "2026-06-16T23:22:48.050",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"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,
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"source": "nvd@nist.gov",
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"published": "2011-01-28T22:00:05.287",
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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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