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CNVD-2026-17265

Vulnerability from cnvd - Published: 2026-04-16
VLAI
Title
Discourse存在未明漏洞(CNVD-2026-17265)
Description
Discourse是Discourse开源的一套开源的社区讨论平台。该平台包括社区、电子邮件和聊天室等功能。 Discourse存在安全漏洞,攻击者可利用该漏洞通过特制请求向非特权用户泄露受限的帖子操作计数。
Severity
Patch Name
Discourse存在未明漏洞(CNVD-2026-17265)的补丁
Patch Description
Discourse是Discourse开源的一套开源的社区讨论平台。该平台包括社区、电子邮件和聊天室等功能。 Discourse存在安全漏洞,攻击者可利用该漏洞通过特制请求向非特权用户泄露受限的帖子操作计数。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://github.com/discourse/discourse/tags

Reference
https://github.com/discourse/discourse/security/advisories/GHSA-v9r3-p863-6f25
Impacted products
Name
['Discourse Discourse <2026.1.2', 'Discourse Discourse <2026.2.1', 'Discourse Discourse <2026.3.0-latest.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-27936",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-27936"
    }
  },
  "description": "Discourse\u662fDiscourse\u5f00\u6e90\u7684\u4e00\u5957\u5f00\u6e90\u7684\u793e\u533a\u8ba8\u8bba\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u5305\u62ec\u793e\u533a\u3001\u7535\u5b50\u90ae\u4ef6\u548c\u804a\u5929\u5ba4\u7b49\u529f\u80fd\u3002\n\nDiscourse\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u8bf7\u6c42\u5411\u975e\u7279\u6743\u7528\u6237\u6cc4\u9732\u53d7\u9650\u7684\u5e16\u5b50\u64cd\u4f5c\u8ba1\u6570\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://github.com/discourse/discourse/tags",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-17265",
  "openTime": "2026-04-16",
  "patchDescription": "Discourse\u662fDiscourse\u5f00\u6e90\u7684\u4e00\u5957\u5f00\u6e90\u7684\u793e\u533a\u8ba8\u8bba\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u5305\u62ec\u793e\u533a\u3001\u7535\u5b50\u90ae\u4ef6\u548c\u804a\u5929\u5ba4\u7b49\u529f\u80fd\u3002\r\n\r\nDiscourse\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u8bf7\u6c42\u5411\u975e\u7279\u6743\u7528\u6237\u6cc4\u9732\u53d7\u9650\u7684\u5e16\u5b50\u64cd\u4f5c\u8ba1\u6570\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": "Discourse\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2026-17265\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Discourse Discourse \u003c2026.1.2",
      "Discourse Discourse \u003c2026.2.1",
      "Discourse Discourse \u003c2026.3.0-latest.1"
    ]
  },
  "referenceLink": "https://github.com/discourse/discourse/security/advisories/GHSA-v9r3-p863-6f25",
  "serverity": "\u4e2d",
  "submitTime": "2026-03-26",
  "title": "Discourse\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2026-17265\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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Detection rules are retrieved from Rulezet.

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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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