CNVD-2026-29404

Vulnerability from cnvd - Published: 2026-07-31
VLAI
Title
Microsoft Visual Studio Code安全功能绕过漏洞(CNVD-2026-29404)
Description
Microsoft Visual Studio Code是一款轻量级但功能强大的源代码编辑器,支持多种编程语言和扩展插件。 Microsoft Visual Studio Code存在安全功能绕过漏洞,该漏洞源于未能正确处理来自不受信任控制范围的功能,攻击者可利用该漏洞通过网络绕过安全功能。
Severity
高
Patch Name
Microsoft Visual Studio Code安全功能绕过漏洞(CNVD-2026-29404)的补丁
Patch Description
Microsoft Visual Studio Code是一款轻量级但功能强大的源代码编辑器,支持多种编程语言和扩展插件。 Microsoft Visual Studio Code存在安全功能绕过漏洞,该漏洞源于未能正确处理来自不受信任控制范围的功能,攻击者可利用该漏洞通过网络绕过安全功能。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

厂商已发布了漏洞修复程序,请及时关注更新: https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-57102

Reference
https://nvd.nist.gov/vuln/detail/CVE-2026-57102
Impacted products
Name
Microsoft Visual Studio Code >=1.0.0,<1.128.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-57102",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-57102"
    }
  },
  "description": "Microsoft Visual Studio Code\u662f\u4e00\u6b3e\u8f7b\u91cf\u7ea7\u4f46\u529f\u80fd\u5f3a\u5927\u7684\u6e90\u4ee3\u7801\u7f16\u8f91\u5668\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u548c\u6269\u5c55\u63d2\u4ef6\u3002\n\nMicrosoft Visual Studio Code\u5b58\u5728\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u80fd\u6b63\u786e\u5904\u7406\u6765\u81ea\u4e0d\u53d7\u4fe1\u4efb\u63a7\u5236\u8303\u56f4\u7684\u529f\u80fd\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7f51\u7edc\u7ed5\u8fc7\u5b89\u5168\u529f\u80fd\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-57102",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-29404",
  "openTime": "2026-07-31",
  "patchDescription": "Microsoft Visual Studio Code\u662f\u4e00\u6b3e\u8f7b\u91cf\u7ea7\u4f46\u529f\u80fd\u5f3a\u5927\u7684\u6e90\u4ee3\u7801\u7f16\u8f91\u5668\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u548c\u6269\u5c55\u63d2\u4ef6\u3002\r\n\r\nMicrosoft Visual Studio Code\u5b58\u5728\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u80fd\u6b63\u786e\u5904\u7406\u6765\u81ea\u4e0d\u53d7\u4fe1\u4efb\u63a7\u5236\u8303\u56f4\u7684\u529f\u80fd\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7f51\u7edc\u7ed5\u8fc7\u5b89\u5168\u529f\u80fd\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 Visual Studio Code\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2026-29404\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Microsoft Visual Studio Code \u003e=1.0.0\uff0c\u003c1.128.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2026-57102",
  "serverity": "\u9ad8",
  "submitTime": "2026-07-15",
  "title": "Microsoft Visual Studio Code\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2026-29404\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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