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CNVD-2022-03911

Vulnerability from cnvd - Published: 2022-01-14
VLAI
Title
bookstack跨站请求伪造漏洞
Description
BookStack是BookStackApp团队的一套开源的使用PHP和Laravel构建wiki文档的平台。 bookstack存在跨站请求伪造漏洞,该漏洞源于软件缺少对于跨站请求伪造的验证。攻击者可以利用该漏洞伪造恶意请求诱骗受害者点击执行敏感操作。
Severity
Patch Name
bookstack跨站请求伪造漏洞的补丁
Patch Description
BookStack是BookStackApp团队的一套开源的使用PHP和Laravel构建wiki文档的平台。 bookstack存在跨站请求伪造漏洞,该漏洞源于软件缺少对于跨站请求伪造的验证。攻击者可以利用该漏洞伪造恶意请求诱骗受害者点击执行敏感操作。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/line/armeria/security/advisories/GHSA-8fp4-rp6c-5gcv

Reference
https://github.com/bookstackapp/bookstack/commit/88e6f93abf54192a69cc8080e0dc6516ee68ccbb
Impacted products
Name
Bookstackapp BookStack <21.11
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-3944",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-3944"
    }
  },
  "description": "BookStack\u662fBookStackApp\u56e2\u961f\u7684\u4e00\u5957\u5f00\u6e90\u7684\u4f7f\u7528PHP\u548cLaravel\u6784\u5efawiki\u6587\u6863\u7684\u5e73\u53f0\u3002\n\nbookstack\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8f6f\u4ef6\u7f3a\u5c11\u5bf9\u4e8e\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u4f2a\u9020\u6076\u610f\u8bf7\u6c42\u8bf1\u9a97\u53d7\u5bb3\u8005\u70b9\u51fb\u6267\u884c\u654f\u611f\u64cd\u4f5c\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/line/armeria/security/advisories/GHSA-8fp4-rp6c-5gcv",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-03911",
  "openTime": "2022-01-14",
  "patchDescription": "BookStack\u662fBookStackApp\u56e2\u961f\u7684\u4e00\u5957\u5f00\u6e90\u7684\u4f7f\u7528PHP\u548cLaravel\u6784\u5efawiki\u6587\u6863\u7684\u5e73\u53f0\u3002\r\n\r\nbookstack\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8f6f\u4ef6\u7f3a\u5c11\u5bf9\u4e8e\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u4f2a\u9020\u6076\u610f\u8bf7\u6c42\u8bf1\u9a97\u53d7\u5bb3\u8005\u70b9\u51fb\u6267\u884c\u654f\u611f\u64cd\u4f5c\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": "bookstack\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Bookstackapp BookStack \u003c21.11"
  },
  "referenceLink": "https://github.com/bookstackapp/bookstack/commit/88e6f93abf54192a69cc8080e0dc6516ee68ccbb",
  "serverity": "\u4e2d",
  "submitTime": "2021-12-04",
  "title": "bookstack\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}



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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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