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CNVD-2017-30129

Vulnerability from cnvd - Published: 2017-10-16
VLAI
Title
Microsoft ChakraCore内存破坏漏洞(CNVD-2017-30129)
Description
Microsoft ChakraCore是美国微软(Microsoft)公司的一个Edge(Web浏览器)所使用的JavaScript引擎的核心部分。 Microsoft ChakraCore中存在内存破坏漏洞。远程攻击者可利用该漏洞在当前用户的上下文中执行任意代码,造成内存破坏。
Severity
Patch Name
Microsoft ChakraCore内存破坏漏洞(CNVD-2017-30129)的补丁
Patch Description
Microsoft ChakraCore是美国微软(Microsoft)公司的一个Edge(Web浏览器)所使用的JavaScript引擎的核心部分。 Microsoft ChakraCore中存在内存破坏漏洞。远程攻击者可利用该漏洞在当前用户的上下文中执行任意代码,造成内存破坏。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://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-11801

Reference
https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-11801
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "101146"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-11801"
    }
  },
  "description": "Microsoft ChakraCore\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u4e2aEdge\uff08Web\u6d4f\u89c8\u5668\uff09\u6240\u4f7f\u7528\u7684JavaScript\u5f15\u64ce\u7684\u6838\u5fc3\u90e8\u5206\u3002\r\n\r\nMicrosoft ChakraCore\u4e2d\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5f53\u524d\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u9020\u6210\u5185\u5b58\u7834\u574f\u3002",
  "discovererName": "Microsoft ChakraCore Team",
  "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://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-11801",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-30129",
  "openTime": "2017-10-16",
  "patchDescription": "Microsoft ChakraCore\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u4e2aEdge\uff08Web\u6d4f\u89c8\u5668\uff09\u6240\u4f7f\u7528\u7684JavaScript\u5f15\u64ce\u7684\u6838\u5fc3\u90e8\u5206\u3002\r\n\r\nMicrosoft ChakraCore\u4e2d\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5f53\u524d\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u9020\u6210\u5185\u5b58\u7834\u574f\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": "Microsoft ChakraCore\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff08CNVD-2017-30129\uff09\u7684\u8865\u4e01",
  "referenceLink": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-11801",
  "serverity": "\u9ad8",
  "submitTime": "2017-10-11",
  "title": "Microsoft ChakraCore\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff08CNVD-2017-30129\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

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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