CNVD-2019-24189

Vulnerability from cnvd - Published: 2019-07-23
VLAI
Title
Google Android内存错误引用漏洞(CNVD-2019-24189)
Description
Android是美国谷歌(Google)公司和开放手持设备联盟(简称OHA)共同开发的一套以Linux为基础的开源操作系统。 Android中的‘wma_vdev_start_resp_handler’函数存在内存错误引用漏洞。攻击者可利用该漏洞在wma_vdev_start_resp_handler中发生可能的免费使用的消息类型。
Severity
高
Patch Name
Google Android内存错误引用漏洞(CNVD-2019-24189)的补丁
Patch Description
Android是美国谷歌(Google)公司和开放手持设备联盟(简称OHA)共同开发的一套以Linux为基础的开源操作系统。 Android中的‘wma_vdev_start_resp_handler’函数存在内存错误引用漏洞。攻击者可利用该漏洞在wma_vdev_start_resp_handler中发生可能的免费使用的消息类型。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://www.codeaurora.org/security-bulletin/2018/09/04/september-2018-code-aurora-security-bulletin

Reference
https://www.codeaurora.org/security-bulletin/2018/09/04/september-2018-code-aurora-security-bulletin
Impacted products
Name
Google Android
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-11843",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-11843"
    }
  },
  "description": "Android\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u548c\u5f00\u653e\u624b\u6301\u8bbe\u5907\u8054\u76df\uff08\u7b80\u79f0OHA\uff09\u5171\u540c\u5f00\u53d1\u7684\u4e00\u5957\u4ee5Linux\u4e3a\u57fa\u7840\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002\n\nAndroid\u4e2d\u7684\u2018wma_vdev_start_resp_handler\u2019\u51fd\u6570\u5b58\u5728\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728wma_vdev_start_resp_handler\u4e2d\u53d1\u751f\u53ef\u80fd\u7684\u514d\u8d39\u4f7f\u7528\u7684\u6d88\u606f\u7c7b\u578b\u3002",
  "discovererName": "Pragaspathi Thilagaraj",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://www.codeaurora.org/security-bulletin/2018/09/04/september-2018-code-aurora-security-bulletin",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-24189",
  "openTime": "2019-07-23",
  "patchDescription": "Android\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u548c\u5f00\u653e\u624b\u6301\u8bbe\u5907\u8054\u76df\uff08\u7b80\u79f0OHA\uff09\u5171\u540c\u5f00\u53d1\u7684\u4e00\u5957\u4ee5Linux\u4e3a\u57fa\u7840\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nAndroid\u4e2d\u7684\u2018wma_vdev_start_resp_handler\u2019\u51fd\u6570\u5b58\u5728\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728wma_vdev_start_resp_handler\u4e2d\u53d1\u751f\u53ef\u80fd\u7684\u514d\u8d39\u4f7f\u7528\u7684\u6d88\u606f\u7c7b\u578b\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\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\uff08CNVD-2019-24189\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Google Android"
  },
  "referenceLink": "https://www.codeaurora.org/security-bulletin/2018/09/04/september-2018-code-aurora-security-bulletin",
  "serverity": "\u9ad8",
  "submitTime": "2018-09-20",
  "title": "Google Android\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e\uff08CNVD-2019-24189\uff09"
}



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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

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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.
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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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