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CNVD-2022-77055

Vulnerability from cnvd - Published: 2022-11-15
VLAI
Title
Cerebrate存在未明漏洞(CNVD-2022-77055)
Description
Cerebrate是一个开源平台。旨在充当受信任的联系信息提供者和其他安全工具的互连协调器。 Cerebrate 1.4存在安全漏洞,该漏洞源于错误的共享组ACL允许非特权用户编辑和修改共享组。目前没有详细漏洞细节提供。
Severity
Patch Name
Cerebrate存在未明漏洞(CNVD-2022-77055)的补丁
Patch Description
Cerebrate是一个开源平台。旨在充当受信任的联系信息提供者和其他安全工具的互连协调器。 Cerebrate 1.4存在安全漏洞,该漏洞源于错误的共享组ACL允许非特权用户编辑和修改共享组。目前没有详细漏洞细节提供。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

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/cerebrate-project/cerebrate/commit/15190b930ebada9e8d294db57c96832799d9d93e

Reference
https://github.com/cerebrate-project/cerebrate/commit/15190b930ebada9e8d294db57c96832799d9d93e
Impacted products
Name
Cerebrate project Cerebrate 1.4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-25318",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-25318"
    }
  },
  "description": "Cerebrate\u662f\u4e00\u4e2a\u5f00\u6e90\u5e73\u53f0\u3002\u65e8\u5728\u5145\u5f53\u53d7\u4fe1\u4efb\u7684\u8054\u7cfb\u4fe1\u606f\u63d0\u4f9b\u8005\u548c\u5176\u4ed6\u5b89\u5168\u5de5\u5177\u7684\u4e92\u8fde\u534f\u8c03\u5668\u3002\n\nCerebrate 1.4\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u9519\u8bef\u7684\u5171\u4eab\u7ec4ACL\u5141\u8bb8\u975e\u7279\u6743\u7528\u6237\u7f16\u8f91\u548c\u4fee\u6539\u5171\u4eab\u7ec4\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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/cerebrate-project/cerebrate/commit/15190b930ebada9e8d294db57c96832799d9d93e",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-77055",
  "openTime": "2022-11-15",
  "patchDescription": "Cerebrate\u662f\u4e00\u4e2a\u5f00\u6e90\u5e73\u53f0\u3002\u65e8\u5728\u5145\u5f53\u53d7\u4fe1\u4efb\u7684\u8054\u7cfb\u4fe1\u606f\u63d0\u4f9b\u8005\u548c\u5176\u4ed6\u5b89\u5168\u5de5\u5177\u7684\u4e92\u8fde\u534f\u8c03\u5668\u3002\r\n\r\nCerebrate 1.4\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u9519\u8bef\u7684\u5171\u4eab\u7ec4ACL\u5141\u8bb8\u975e\u7279\u6743\u7528\u6237\u7f16\u8f91\u548c\u4fee\u6539\u5171\u4eab\u7ec4\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\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": "Cerebrate\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2022-77055\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Cerebrate project Cerebrate 1.4"
  },
  "referenceLink": "https://github.com/cerebrate-project/cerebrate/commit/15190b930ebada9e8d294db57c96832799d9d93e",
  "serverity": "\u4e2d",
  "submitTime": "2022-02-22",
  "title": "Cerebrate\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2022-77055\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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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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