CNVD-2021-88204
Vulnerability from cnvd - Published: 2021-11-17
VLAI
Title
Discourse信息泄露漏洞
Description
Discourse是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存在信息泄露漏洞,该漏洞源于恶意制作的请求可能会导致中间代理缓存错误响应。 这可能会导致某些内容的机密性丢失。 此问题已在最新的稳定版、测试版和通过测试的 Discourse 版本中修复。目前没有详细的漏洞细节提供。
Severity
中
Patch Name
Discourse信息泄露漏洞的补丁
Patch Description
Discourse是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存在信息泄露漏洞,该漏洞源于恶意制作的请求可能会导致中间代理缓存错误响应。 这可能会导致某些内容的机密性丢失。 此问题已在最新的稳定版、测试版和通过测试的 Discourse 版本中修复。目前没有详细的漏洞细节提供。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://github.com/discourse/discourse/security/advisories/GHSA-hf6r-mc9j-hf4p
Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-41271
Impacted products
| Name | Discourse Discourse |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-41271"
}
},
"description": "Discourse\u662f\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\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u6076\u610f\u5236\u4f5c\u7684\u8bf7\u6c42\u53ef\u80fd\u4f1a\u5bfc\u81f4\u4e2d\u95f4\u4ee3\u7406\u7f13\u5b58\u9519\u8bef\u54cd\u5e94\u3002 \u8fd9\u53ef\u80fd\u4f1a\u5bfc\u81f4\u67d0\u4e9b\u5185\u5bb9\u7684\u673a\u5bc6\u6027\u4e22\u5931\u3002 \u6b64\u95ee\u9898\u5df2\u5728\u6700\u65b0\u7684\u7a33\u5b9a\u7248\u3001\u6d4b\u8bd5\u7248\u548c\u901a\u8fc7\u6d4b\u8bd5\u7684 Discourse \u7248\u672c\u4e2d\u4fee\u590d\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
"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://github.com/discourse/discourse/security/advisories/GHSA-hf6r-mc9j-hf4p",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-88204",
"openTime": "2021-11-17",
"patchDescription": "Discourse\u662f\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\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u6076\u610f\u5236\u4f5c\u7684\u8bf7\u6c42\u53ef\u80fd\u4f1a\u5bfc\u81f4\u4e2d\u95f4\u4ee3\u7406\u7f13\u5b58\u9519\u8bef\u54cd\u5e94\u3002 \u8fd9\u53ef\u80fd\u4f1a\u5bfc\u81f4\u67d0\u4e9b\u5185\u5bb9\u7684\u673a\u5bc6\u6027\u4e22\u5931\u3002 \u6b64\u95ee\u9898\u5df2\u5728\u6700\u65b0\u7684\u7a33\u5b9a\u7248\u3001\u6d4b\u8bd5\u7248\u548c\u901a\u8fc7\u6d4b\u8bd5\u7684 Discourse \u7248\u672c\u4e2d\u4fee\u590d\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "Discourse Discourse"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-41271",
"serverity": "\u4e2d",
"submitTime": "2021-11-17",
"title": "Discourse\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}
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Nomenclature
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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.
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.
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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.