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CNVD-2025-09226

Vulnerability from cnvd - Published: 2025-05-08
VLAI
Title
Docassemble开放重定向漏洞
Description
Docassemble是一个免费的开源专家系统,用于指导访谈和文档组装。 Docassemble 1.4.97之前版本存在开放重定向漏洞,该漏洞源于系统未对目标跳转做合理处理,攻击者可利用该漏洞将用户重定向的恶意网站从事钓鱼等攻击。
Severity
Patch Name
Docassemble开放重定向漏洞的补丁
Patch Description
Docassemble是一个免费的开源专家系统,用于指导访谈和文档组装。 Docassemble 1.4.97之前版本存在开放重定向漏洞,该漏洞源于系统未对目标跳转做合理处理,攻击者可利用该漏洞将用户重定向的恶意网站从事钓鱼等攻击。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/jhpyle/docassemble/commit/4801ac7ff7c90df00ac09523077930cdb6dea2aa

Reference
https://github.com/jhpyle/docassemble/security/advisories/GHSA-7wxf-r2qv-9xwr
Impacted products
Name
Jonathan Pyle Docassemble <1.4.97
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-27291",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-27291"
    }
  },
  "description": "Docassemble\u662f\u4e00\u4e2a\u514d\u8d39\u7684\u5f00\u6e90\u4e13\u5bb6\u7cfb\u7edf\uff0c\u7528\u4e8e\u6307\u5bfc\u8bbf\u8c08\u548c\u6587\u6863\u7ec4\u88c5\u3002\n\nDocassemble 1.4.97\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5f00\u653e\u91cd\u5b9a\u5411\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7cfb\u7edf\u672a\u5bf9\u76ee\u6807\u8df3\u8f6c\u505a\u5408\u7406\u5904\u7406\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u7528\u6237\u91cd\u5b9a\u5411\u7684\u6076\u610f\u7f51\u7ad9\u4ece\u4e8b\u9493\u9c7c\u7b49\u653b\u51fb\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/jhpyle/docassemble/commit/4801ac7ff7c90df00ac09523077930cdb6dea2aa",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-09226",
  "openTime": "2025-05-08",
  "patchDescription": "Docassemble\u662f\u4e00\u4e2a\u514d\u8d39\u7684\u5f00\u6e90\u4e13\u5bb6\u7cfb\u7edf\uff0c\u7528\u4e8e\u6307\u5bfc\u8bbf\u8c08\u548c\u6587\u6863\u7ec4\u88c5\u3002\r\n\r\nDocassemble 1.4.97\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5f00\u653e\u91cd\u5b9a\u5411\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7cfb\u7edf\u672a\u5bf9\u76ee\u6807\u8df3\u8f6c\u505a\u5408\u7406\u5904\u7406\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u7528\u6237\u91cd\u5b9a\u5411\u7684\u6076\u610f\u7f51\u7ad9\u4ece\u4e8b\u9493\u9c7c\u7b49\u653b\u51fb\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": "Docassemble\u5f00\u653e\u91cd\u5b9a\u5411\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Jonathan Pyle Docassemble \u003c1.4.97"
  },
  "referenceLink": "https://github.com/jhpyle/docassemble/security/advisories/GHSA-7wxf-r2qv-9xwr",
  "serverity": "\u4e2d",
  "submitTime": "2024-03-26",
  "title": "Docassemble\u5f00\u653e\u91cd\u5b9a\u5411\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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