GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2021-94049

Vulnerability from cnvd - Published: 2021-12-03
VLAI
Title
Portlandlabs Concrete5服务端请求伪造漏洞
Description
Portlandlabs Concrete5是美国PortlandLabs公司的一套开源内容管理系统(CMS)。 Portlandlabs Concrete5服务端请求伪造漏洞,攻击者可利用该漏洞通过插入内部地址从内部服务器网络检索HTTP和FTP文件。
Severity
Patch Name
Portlandlabs Concrete5服务端请求伪造漏洞的补丁
Patch Description
Portlandlabs Concrete5是美国PortlandLabs公司的一套开源内容管理系统(CMS)。 Portlandlabs Concrete5服务端请求伪造漏洞,攻击者可利用该漏洞通过插入内部地址从内部服务器网络检索HTTP和FTP文件。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://documentation.concretecms.org/developers/introduction/version-history/855-release-notes

Reference
https://hackerone.com/reports/863221
Impacted products
Name
PortlandLabs Concrete5 <8.5.5
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-22958",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-22958"
    }
  },
  "description": "Portlandlabs Concrete5\u662f\u7f8e\u56fdPortlandLabs\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\n\nPortlandlabs Concrete5\u670d\u52a1\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u63d2\u5165\u5185\u90e8\u5730\u5740\u4ece\u5185\u90e8\u670d\u52a1\u5668\u7f51\u7edc\u68c0\u7d22HTTP\u548cFTP\u6587\u4ef6\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://documentation.concretecms.org/developers/introduction/version-history/855-release-notes",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-94049",
  "openTime": "2021-12-03",
  "patchDescription": "Portlandlabs Concrete5\u662f\u7f8e\u56fdPortlandLabs\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\r\n\r\nPortlandlabs Concrete5\u670d\u52a1\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u63d2\u5165\u5185\u90e8\u5730\u5740\u4ece\u5185\u90e8\u670d\u52a1\u5668\u7f51\u7edc\u68c0\u7d22HTTP\u548cFTP\u6587\u4ef6\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": "Portlandlabs Concrete5\u670d\u52a1\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "PortlandLabs Concrete5 \u003c8.5.5"
  },
  "referenceLink": "https://hackerone.com/reports/863221",
  "serverity": "\u9ad8",
  "submitTime": "2021-10-10",
  "title": "Portlandlabs Concrete5\u670d\u52a1\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…