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CNVD-2020-09967

Vulnerability from cnvd - Published: 2020-02-17
VLAI
Title
Qualcomm MDM9206和MDM9607输入验证错误漏洞
Description
Qualcomm MDM9206和MDM9607都是美国高通(Qualcomm)公司的一款中央处理器(CPU)产品。 Qualcomm MDM9206和MDM9607中的Kernel存在输入验证错误漏洞。该漏洞源于网络系统或产品未对输入的数据进行正确的验证。攻击者可利用该漏洞造成缓冲区溢出等。
Severity
Patch Name
Qualcomm MDM9206和MDM9607输入验证错误漏洞的补丁
Patch Description
Qualcomm MDM9206和MDM9607都是美国高通(Qualcomm)公司的一款中央处理器(CPU)产品。 Qualcomm MDM9206和MDM9607中的Kernel存在输入验证错误漏洞。该漏洞源于网络系统或产品未对输入的数据进行正确的验证。攻击者可利用该漏洞造成缓冲区溢出等。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.qualcomm.com/company/product-security/bulletins/february-2020-bulletin

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-14051
Impacted products
Name
['Qualcomm MDM9206', 'Qualcomm MDM9607']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-14051"
    }
  },
  "description": "Qualcomm MDM9206\u548cMDM9607\u90fd\u662f\u7f8e\u56fd\u9ad8\u901a\uff08Qualcomm\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u4e2d\u592e\u5904\u7406\u5668\uff08CPU\uff09\u4ea7\u54c1\u3002\n\nQualcomm MDM9206\u548cMDM9607\u4e2d\u7684Kernel\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u5bf9\u8f93\u5165\u7684\u6570\u636e\u8fdb\u884c\u6b63\u786e\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u7f13\u51b2\u533a\u6ea2\u51fa\u7b49\u3002",
  "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.qualcomm.com/company/product-security/bulletins/february-2020-bulletin",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-09967",
  "openTime": "2020-02-17",
  "patchDescription": "Qualcomm MDM9206\u548cMDM9607\u90fd\u662f\u7f8e\u56fd\u9ad8\u901a\uff08Qualcomm\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u4e2d\u592e\u5904\u7406\u5668\uff08CPU\uff09\u4ea7\u54c1\u3002\r\n\r\nQualcomm MDM9206\u548cMDM9607\u4e2d\u7684Kernel\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u5bf9\u8f93\u5165\u7684\u6570\u636e\u8fdb\u884c\u6b63\u786e\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u7f13\u51b2\u533a\u6ea2\u51fa\u7b49\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": "Qualcomm MDM9206\u548cMDM9607\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Qualcomm MDM9206",
      "Qualcomm MDM9607"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-14051",
  "serverity": "\u9ad8",
  "submitTime": "2020-02-11",
  "title": "Qualcomm MDM9206\u548cMDM9607\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\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

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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.
  • 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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