FKIE_CVE-2015-3113
Vulnerability from fkie_nvd - Published: 2015-06-23 21:59 - Updated: 2026-06-17 00:25
Severity
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/
Summary
Heap-based buffer overflow in Adobe Flash Player before 13.0.0.296 and 14.x through 18.x before 18.0.0.194 on Windows and OS X and before 11.2.202.468 on Linux allows remote attackers to execute arbitrary code via unspecified vectors, as exploited in the wild in June 2015.
References
Impacted products
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"cisaActionDue": "2022-05-04",
"cisaExploitAdd": "2022-04-13",
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "Heap-based buffer overflow in Adobe Flash Player before 13.0.0.296 and 14.x through 18.x before 18.0.0.194 on Windows and OS X and before 11.2.202.468 on Linux allows remote attackers to execute arbitrary code via unspecified vectors, as exploited in the wild in June 2015."
},
{
"lang": "es",
"value": "Desbordamiento de buffer basado en memoria din\u00e1mica en Adobe Flash Player anterior a 13.0.0.296 y 14.x hasta 18.x anterior a 18.0.0.194 en Windows y OS X y anterior a 11.2.202.468 en Linux permite a atacantes remotos ejecutar c\u00f3digo arbitrario a trav\u00e9s de vectores no especificados, tal y como fue utilizado activamente en junio del 2015."
}
],
"id": "CVE-2015-3113",
"lastModified": "2026-06-17T00:25:19.230",
"metrics": {
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"acInsufInfo": true,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 10.0,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:L/Au:N/C:C/I:C/A:C",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 10.0,
"obtainAllPrivilege": false,
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"role": "CISA Coordinator",
"timestamp": "2025-11-17T19:56:07.563588Z",
"version": "2.0.3"
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},
"published": "2015-06-23T21:59:01.960",
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{
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"tags": [
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],
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"vulnStatus": "Analyzed",
"weaknesses": [
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"value": "CWE-787"
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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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