FKIE_CVE-2015-2709
Vulnerability from fkie_nvd - Published: 2015-05-14 10:59 - Updated: 2026-06-17 00:24
Severity
Summary
Multiple unspecified vulnerabilities in the browser engine in Mozilla Firefox before 38.0 allow remote attackers to cause a denial of service (memory corruption and application crash) or possibly execute arbitrary code via unknown vectors.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mozilla | firefox | * | |
| novell | suse_linux_enterprise_software_development_kit | 12.0 | |
| novell | suse_linux_enterprise_desktop | 12.0 | |
| novell | suse_linux_enterprise_server | 12.0 | |
| opensuse | opensuse | 13.1 | |
| opensuse | opensuse | 13.2 |
{
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{
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"vendor": "n/a",
"versions": [
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}
]
}
],
"source": "security@mozilla.org"
}
],
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"value": "Multiple unspecified vulnerabilities in the browser engine in Mozilla Firefox before 38.0 allow remote attackers to cause a denial of service (memory corruption and application crash) or possibly execute arbitrary code via unknown vectors."
},
{
"lang": "es",
"value": "M\u00faltiples vulnerabilidades no especificadas en el motor de navegaci\u00f3n de Mozilla Firefox anterior a 38.0 permiten a atacantes remotos causar una denegaci\u00f3n de servicio (corrupci\u00f3n de memoria y ca\u00edda de aplicaci\u00f3n) o posiblemente ejecutar c\u00f3digo arbitrario a trav\u00e9s de vectores desconocidos."
}
],
"id": "CVE-2015-2709",
"lastModified": "2026-06-17T00:24:35.567",
"metrics": {
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"baseSeverity": "HIGH",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 6.4,
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"source": "nvd@nist.gov",
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"published": "2015-05-14T10:59:02.337",
"references": [
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"url": "http://www.securityfocus.com/bid/74615"
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"url": "http://www.ubuntu.com/usn/USN-2602-1"
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]
}
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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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