Vulnerability-Lookup

CNVD-2018-18045

Vulnerability from cnvd - Published: 2018-09-07

Title

Microsoft Edge Chakra脚本引擎远程内存破坏漏洞

Description

Microsoft Windows 10等都是美国微软（Microsoft）公司发布的一系列操作系统。Microsoft Windows 10是一套个人电脑使用的操作系统。Windows Server 2016是一套服务器操作系统。Edge是其中的一款Web浏览器。ChakraCore是使用在Edge中的一个开源的Chakra JavaScript脚本引擎的核心部分，也可作为单独的JavaScript引擎使用。 Microsoft Edge和ChakraCore中存在远程代码执行漏洞。远程攻击者可借助(1)特制的网站或(2)借助遭到入侵的网站以及接受或托管用户所提供的内容或广告的网站利用该漏洞在当前用户上下文中执行任意代码，破坏内存。

Severity

高

Patch Name

Microsoft Edge Chakra脚本引擎远程内存破坏漏洞的补丁

Patch Description

Formal description

厂商已发布漏洞修复程序，请及时关注更新： https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2018-8266

Reference

https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2018-8266 https://www.securityfocus.com/bid/104977

Impacted products

Name
['Microsoft Edge 0', 'Microsoft ChakraCore 0']

Show details on source website

JSON

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  "number": "CNVD-2018-18045",
  "openTime": "2018-09-07",
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  "serverity": "\u9ad8",
  "submitTime": "2018-08-15",
  "title": "Microsoft Edge Chakra\u811a\u672c\u5f15\u64ce\u8fdc\u7a0b\u5185\u5b58\u7834\u574f\u6f0f\u6d1e"
}

CVE-2018-8266 (GCVE-0-2018-8266)

Vulnerability from cvelistv5 – Published: 2018-08-15 17:00 – Updated: 2024-08-05 06:46

Summary

A remote code execution vulnerability exists in the way that the Chakra scripting engine handles objects in memory in Microsoft Edge, aka "Chakra Scripting Engine Memory Corruption Vulnerability." This affects Microsoft Edge, ChakraCore. This CVE ID is unique from CVE-2018-8380, CVE-2018-8381, CVE-2018-8384.

Severity

No CVSS data available.

CWE

Remote Code Execution

Assigner

microsoft mitre root

References

3 references

URL	Tags
http://www.securityfocus.com/bid/104977	vdb-entryx_refsource_BID
http://www.securitytracker.com/id/1041457	vdb-entryx_refsource_SECTRACK
https://portal.msrc.microsoft.com/en-US/security-…	x_refsource_CONFIRM

Impacted products

2 products

Vendor	Product	Version
Microsoft	Microsoft Edge	Affected: Windows 10 for 32-bit Systems Affected: Windows 10 for x64-based Systems Affected: Windows 10 Version 1607 for 32-bit Systems Affected: Windows 10 Version 1607 for x64-based Systems Affected: Windows 10 Version 1703 for 32-bit Systems Affected: Windows 10 Version 1703 for x64-based Systems Affected: Windows 10 Version 1709 for 32-bit Systems Affected: Windows 10 Version 1709 for x64-based Systems Affected: Windows 10 Version 1803 for 32-bit Systems Affected: Windows 10 Version 1803 for x64-based Systems Affected: Windows Server 2016
Microsoft	ChakraCore	Affected: ChakraCore

Date Public

2018-08-14 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.