Vulnerability-Lookup

CNVD-2017-28653

Vulnerability from cnvd - Published: 2017-09-28

Title

Microsoft Edge欺骗漏洞（CNVD-2017-28653）

Description

Microsoft Windows 10和Windows Server 2016都是美国微软（Microsoft）公司的产品。前者是一套供个人电脑使用的操作系统，后者是一套服务器操作系统。Edge是其中的一款系统附带的Web浏览器。 Microsoft Windows中的Edge存在欺骗漏洞，该漏洞源于程序未能正确的解析HTTP内容。攻击者可利用该漏洞将用户重定向到特制的网站，欺骗用户。

Severity

中

Patch Name

Microsoft Edge欺骗漏洞（CNVD-2017-28653）的补丁

Patch Description

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-2017-8735

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-8735

Impacted products

Name
['Microsoft Edge', 'Microsoft Windows 10 Gold', 'Microsoft Windows 10 1511', 'Microsoft Windows 10 1607', 'Microsoft Windows Server 2016', 'Microsoft Windows 10 1703']

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "100740"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-8735"
    }
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  "discovererName": "Microsoft",
  "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-2017-8735",
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  "number": "CNVD-2017-28653",
  "openTime": "2017-09-28",
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  "patchName": "Microsoft Edge\u6b3a\u9a97\u6f0f\u6d1e\uff08CNVD-2017-28653\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Microsoft Edge",
      "Microsoft Windows 10 Gold",
      "Microsoft Windows 10  1511",
      "Microsoft Windows 10 1607",
      "Microsoft Windows Server 2016",
      "Microsoft Windows 10 1703"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-8735",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-13",
  "title": "Microsoft Edge\u6b3a\u9a97\u6f0f\u6d1e\uff08CNVD-2017-28653\uff09"
}

CVE-2017-8735 (GCVE-0-2017-8735)

Vulnerability from cvelistv5 – Published: 2017-09-13 01:00 – Updated: 2024-09-17 01:56

Summary

Microsoft Edge in Microsoft Windows 10 Gold, 1511, 1607, 1703, and Windows Server 2016 allows an attacker to trick a user by redirecting the user to a specially crafted website, due to the way that Microsoft Edge parses HTTP content, aka "Microsoft Edge Spoofing Vulnerability". This CVE ID is unique from CVE-2017-8724.

Severity

No CVSS data available.

CWE

Spoofing

Assigner

microsoft mitre root

References

3 references

URL	Tags
https://portal.msrc.microsoft.com/en-US/security-…	x_refsource_CONFIRM
http://www.securitytracker.com/id/1039326	vdb-entryx_refsource_SECTRACK
http://www.securityfocus.com/bid/100740	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
Microsoft Corporation	Microsoft Edge	Affected: Microsoft Windows 10 Gold, 1511, 1607, 1703, and Windows Server 2016.

Date Public

2017-09-12 00:00

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.