CNVD-2025-20781

Vulnerability from cnvd - Published: 2025-09-09
VLAI
Title
FreeScout安全绕过漏洞(CNVD-2025-20781)
Description
FreeScout是FreeScout公司的一个使用PHP(Laravel框架)构建的超轻量级且功能强大的免费开源帮助台和共享收件箱。 FreeScout存在安全绕过漏洞,该漏洞是由于用户创建过程中输入验证不当造成的。攻击者可利用该漏洞操纵对象的所有字段。
Severity
中
Patch Name
FreeScout安全绕过漏洞(CNVD-2025-20781)的补丁
Patch Description
FreeScout是FreeScout公司的一个使用PHP(Laravel框架)构建的超轻量级且功能强大的免费开源帮助台和共享收件箱。 FreeScout存在安全绕过漏洞,该漏洞是由于用户创建过程中输入验证不当造成的。攻击者可利用该漏洞操纵对象的所有字段。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://freescout.net/

Reference
https://github.com/freescout-help-desk/freescout/commit/d2048f59a899dbcfc9a71bb98549ead81cdb62a5
Impacted products
Name
Freescout Freescout <1.8.180
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-48478",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-48478"
    }
  },
  "description": "FreeScout\u662fFreeScout\u516c\u53f8\u7684\u4e00\u4e2a\u4f7f\u7528PHP\uff08Laravel\u6846\u67b6\uff09\u6784\u5efa\u7684\u8d85\u8f7b\u91cf\u7ea7\u4e14\u529f\u80fd\u5f3a\u5927\u7684\u514d\u8d39\u5f00\u6e90\u5e2e\u52a9\u53f0\u548c\u5171\u4eab\u6536\u4ef6\u7bb1\u3002\n\nFreeScout\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u7528\u6237\u521b\u5efa\u8fc7\u7a0b\u4e2d\u8f93\u5165\u9a8c\u8bc1\u4e0d\u5f53\u9020\u6210\u7684\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u64cd\u7eb5\u5bf9\u8c61\u7684\u6240\u6709\u5b57\u6bb5\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://freescout.net/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-20781",
  "openTime": "2025-09-09",
  "patchDescription": "FreeScout\u662fFreeScout\u516c\u53f8\u7684\u4e00\u4e2a\u4f7f\u7528PHP\uff08Laravel\u6846\u67b6\uff09\u6784\u5efa\u7684\u8d85\u8f7b\u91cf\u7ea7\u4e14\u529f\u80fd\u5f3a\u5927\u7684\u514d\u8d39\u5f00\u6e90\u5e2e\u52a9\u53f0\u548c\u5171\u4eab\u6536\u4ef6\u7bb1\u3002\r\n\r\nFreeScout\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u7528\u6237\u521b\u5efa\u8fc7\u7a0b\u4e2d\u8f93\u5165\u9a8c\u8bc1\u4e0d\u5f53\u9020\u6210\u7684\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u64cd\u7eb5\u5bf9\u8c61\u7684\u6240\u6709\u5b57\u6bb5\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": "FreeScout\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2025-20781\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Freescout Freescout \u003c1.8.180"
  },
  "referenceLink": "https://github.com/freescout-help-desk/freescout/commit/d2048f59a899dbcfc9a71bb98549ead81cdb62a5",
  "serverity": "\u4e2d",
  "submitTime": "2025-06-06",
  "title": "FreeScout\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2025-20781\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.
  • 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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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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