CNVD-2016-09519

Vulnerability from cnvd - Published: 2016-10-20
VLAI
Title
Android Qualcomm声卡驱动程序内存错误引用漏洞
Description
Android是一套以Linux为基础的开源操作系统。 Android的Qualcomm声卡驱动程序中的sound/soc/msm/qdsp6v2/msm-lsm-client.c文件存在内存错误引用漏洞,允许远程攻击者可利用漏洞构建恶意应用,提升权限。
Severity
Patch Name
Android Qualcomm声卡驱动程序内存错误引用漏洞的补丁
Patch Description
Android是一套以Linux为基础的开源操作系统。 Android的Qualcomm声卡驱动程序中的sound/soc/msm/qdsp6v2/msm-lsm-client.c文件存在内存错误引用漏洞,允许远程攻击者可利用漏洞构建恶意应用,提升权限。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

用户可参考如下厂商提供的安全公告获取补丁以修复该漏洞: http://source.android.com/security/bulletin/2016-10-01.html

Reference
http://source.android.com/security/bulletin/2016-10-01.html
Impacted products
Name
['Google Android One 0', 'Google Android(on Nexus 6P) <2016-10-05', 'Google Android(on Nexus 5X) <2016-10-05']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-8951"
    }
  },
  "description": "Android\u662f\u4e00\u5957\u4ee5Linux\u4e3a\u57fa\u7840\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nAndroid\u7684Qualcomm\u58f0\u5361\u9a71\u52a8\u7a0b\u5e8f\u4e2d\u7684sound/soc/msm/qdsp6v2/msm-lsm-client.c\u6587\u4ef6\u5b58\u5728\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610f\u5e94\u7528\uff0c\u63d0\u5347\u6743\u9650\u3002",
  "discovererName": "Google",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u53d6\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttp://source.android.com/security/bulletin/2016-10-01.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-09519",
  "openTime": "2016-10-20",
  "patchDescription": "Android\u662f\u4e00\u5957\u4ee5Linux\u4e3a\u57fa\u7840\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nAndroid\u7684Qualcomm\u58f0\u5361\u9a71\u52a8\u7a0b\u5e8f\u4e2d\u7684sound/soc/msm/qdsp6v2/msm-lsm-client.c\u6587\u4ef6\u5b58\u5728\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u6784\u5efa\u6076\u610f\u5e94\u7528\uff0c\u63d0\u5347\u6743\u9650\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Android Qualcomm\u58f0\u5361\u9a71\u52a8\u7a0b\u5e8f\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Google Android One 0",
      "Google Android(on Nexus 6P) \u003c2016-10-05",
      "Google Android(on Nexus 5X) \u003c2016-10-05"
    ]
  },
  "referenceLink": "http://source.android.com/security/bulletin/2016-10-01.html",
  "serverity": "\u9ad8",
  "submitTime": "2016-10-13",
  "title": "Android Qualcomm\u58f0\u5361\u9a71\u52a8\u7a0b\u5e8f\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e"
}



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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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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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