CNVD-2019-27574

Vulnerability from cnvd - Published: 2019-08-15
VLAI
Title
Google Android缓冲区溢出漏洞(CNVD-2019-27574)
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 9版本中的impd_drc_dynamic_payload.c文件的‘impd_parse_filt_block’函数存在缓冲区溢出漏洞,该漏洞源于程序缺少边界检查。攻击者可利用该漏洞执行代码。
Severity
Patch Name
Google Android缓冲区溢出漏洞(CNVD-2019-27574)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 9版本中的impd_drc_dynamic_payload.c文件的‘impd_parse_filt_block’函数存在缓冲区溢出漏洞,该漏洞源于程序缺少边界检查。攻击者可利用该漏洞执行代码。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://source.android.com/security/bulletin/2018-11-01

Reference
https://source.android.com/security/bulletin/2018-11-01
Impacted products
Name
Google Android 9
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-9573",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-9573"
    }
  },
  "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 9\u7248\u672c\u4e2d\u7684impd_drc_dynamic_payload.c\u6587\u4ef6\u7684\u2018impd_parse_filt_block\u2019\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u7f3a\u5c11\u8fb9\u754c\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\u3002",
  "discovererName": "unknown",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1ahttps://source.android.com/security/bulletin/2018-11-01",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-27574",
  "openTime": "2019-08-15",
  "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 9\u7248\u672c\u4e2d\u7684impd_drc_dynamic_payload.c\u6587\u4ef6\u7684\u2018impd_parse_filt_block\u2019\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u7f3a\u5c11\u8fb9\u754c\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\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\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2019-27574\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Google Android 9"
  },
  "referenceLink": "https://source.android.com/security/bulletin/2018-11-01",
  "serverity": "\u9ad8",
  "submitTime": "2018-12-11",
  "title": "Google Android\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2019-27574\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.
  • Exploited: The vulnerability was observed as exploited 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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