CNVD-2017-09373

Vulnerability from cnvd - Published: 2017-06-14
VLAI
Title
Google Android越边界读取拒绝服务漏洞
Description
Google Android是美国谷歌(Google)公司的一款智能手机。Qualcomm是使用在其中的一个美国高通(Qualcomm)公司的设备专用的高通组件。 Google Android存在拒绝服务漏洞。攻击者可利用此漏洞造成拒绝服务。
Severity
Patch Name
Google Android越边界读取拒绝服务漏洞的补丁
Patch Description
Google Android是美国谷歌(Google)公司的一款智能手机。Qualcomm是使用在其中的一个美国高通(Qualcomm)公司的设备专用的高通组件。 Google Android存在拒绝服务漏洞。攻击者可利用此漏洞造成拒绝服务。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补丁以修复该漏洞: https://www.codeaurora.org/out-bounds-read-when-processing-voice-svc-request-cve-2017-8245

Reference
http://www.securityfocus.com/bid/98543 https://nvd.nist.gov/vuln/detail/CVE-2017-8245
Impacted products
Name
Linux Linux kernel
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "98543"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-8245",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-8245"
    }
  },
  "description": "Google Android\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u624b\u673a\u3002Qualcomm\u662f\u4f7f\u7528\u5728\u5176\u4e2d\u7684\u4e00\u4e2a\u7f8e\u56fd\u9ad8\u901a\uff08Qualcomm\uff09\u516c\u53f8\u7684\u8bbe\u5907\u4e13\u7528\u7684\u9ad8\u901a\u7ec4\u4ef6\u3002\r\n\r\nGoogle Android\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "Yonggang Guo (@guoygang) of IceSword Lab, Qihoo 360 Technology Co. Ltd.",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://www.codeaurora.org/out-bounds-read-when-processing-voice-svc-request-cve-2017-8245",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-09373",
  "openTime": "2017-06-14",
  "patchDescription": "Google Android\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u624b\u673a\u3002Qualcomm\u662f\u4f7f\u7528\u5728\u5176\u4e2d\u7684\u4e00\u4e2a\u7f8e\u56fd\u9ad8\u901a\uff08Qualcomm\uff09\u516c\u53f8\u7684\u8bbe\u5907\u4e13\u7528\u7684\u9ad8\u901a\u7ec4\u4ef6\u3002\r\n\r\nGoogle Android\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\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": "Google Android\u8d8a\u8fb9\u754c\u8bfb\u53d6\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Linux Linux kernel"
  },
  "referenceLink": "http://www.securityfocus.com/bid/98543\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-8245",
  "serverity": "\u4e2d",
  "submitTime": "2017-05-24",
  "title": "Google Android\u8d8a\u8fb9\u754c\u8bfb\u53d6\u62d2\u7edd\u670d\u52a1\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.
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  • 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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