FKIE_CVE-2015-3097
Vulnerability from fkie_nvd - Published: 2015-06-10 01:59 - Updated: 2026-06-17 00:25
Severity
Summary
Adobe Flash Player before 13.0.0.292 and 14.x through 18.x before 18.0.0.160, Adobe AIR before 18.0.0.144, Adobe AIR SDK before 18.0.0.144, and Adobe AIR SDK & Compiler before 18.0.0.144 on 64-bit Windows 7 systems do not properly select a random memory address for the Flash heap, which makes it easier for attackers to conduct unspecified attacks by predicting this address.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| adobe | air | * | |
| adobe | air_sdk | * | |
| adobe | air_sdk_\&_compiler | * | |
| adobe | flash_player | * | |
| adobe | flash_player | 14.0.0.125 | |
| adobe | flash_player | 14.0.0.145 | |
| adobe | flash_player | 14.0.0.176 | |
| adobe | flash_player | 14.0.0.179 | |
| adobe | flash_player | 15.0.0.152 | |
| adobe | flash_player | 15.0.0.167 | |
| adobe | flash_player | 15.0.0.189 | |
| adobe | flash_player | 15.0.0.223 | |
| adobe | flash_player | 15.0.0.239 | |
| adobe | flash_player | 15.0.0.246 | |
| adobe | flash_player | 16.0.0.235 | |
| adobe | flash_player | 16.0.0.257 | |
| adobe | flash_player | 16.0.0.287 | |
| adobe | flash_player | 16.0.0.296 | |
| adobe | flash_player | 17.0.0.134 | |
| adobe | flash_player | 17.0.0.169 | |
| adobe | flash_player | 17.0.0.188 | |
| microsoft | windows_7 | * |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "psirt@adobe.com"
}
],
"configurations": [
{
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"versionEndIncluding": "17.0.0.172",
"vulnerable": true
},
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},
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"vulnerable": true
},
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],
"negate": false,
"operator": "OR"
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"vulnerable": true
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"negate": false,
"operator": "OR"
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Adobe Flash Player before 13.0.0.292 and 14.x through 18.x before 18.0.0.160, Adobe AIR before 18.0.0.144, Adobe AIR SDK before 18.0.0.144, and Adobe AIR SDK \u0026 Compiler before 18.0.0.144 on 64-bit Windows 7 systems do not properly select a random memory address for the Flash heap, which makes it easier for attackers to conduct unspecified attacks by predicting this address."
},
{
"lang": "es",
"value": "Adobe Flash Player anterior a 13.0.0.292 y 14.x hasta 18.x anterior a 18.0.0.160, Adobe AIR anterior a 18.0.0.144, Adobe AIR SDK anterior a 18.0.0.144, y Adobe AIR SDK \u0026 Compiler anterior a 18.0.0.144 en los sistemas de Windows 7 de 64 bits no seleccionan correctamente una direcci\u00f3n de la memoria aleatoria para la memoria din\u00e1mica de Flash, lo que facilita a atacantes realizar ataques no especificadas mediante la predicci\u00f3n de esta direcci\u00f3n."
}
],
"id": "CVE-2015-3097",
"lastModified": "2026-06-17T00:25:17.280",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": true,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2015-06-10T01:59:40.703",
"references": [
{
"source": "psirt@adobe.com",
"url": "http://www.securityfocus.com/bid/75090"
},
{
"source": "psirt@adobe.com",
"url": "http://www.securitytracker.com/id/1032519"
},
{
"source": "psirt@adobe.com",
"url": "http://www.securitytracker.com/id/1032810"
},
{
"source": "psirt@adobe.com",
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],
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},
{
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],
"url": "https://helpx.adobe.com/security/products/flash-player/apsb15-16.html"
},
{
"source": "psirt@adobe.com",
"url": "https://security.gentoo.org/glsa/201506-01"
},
{
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"url": "http://www.securityfocus.com/bid/75090"
},
{
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}
],
"sourceIdentifier": "psirt@adobe.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
}
],
"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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