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CNVD-2024-25257

Vulnerability from cnvd - Published: 2024-05-30
VLAI
Title
MinIO信息泄露漏洞(CNVD-2024-25257)
Description
MinIO是一款高性能的对象存储服务,采用GNU Affero通用公共许可证v3.0发布。 MinIO RELEASE.2022-10-02T19-29-29Z版本存在安全漏洞,该漏洞源于GetObject存在If-Modified-Since、If-Unmodified-Since标头的信息泄露。目前没有详细的漏洞细节提供。
Severity
Patch Name
MinIO信息泄露漏洞(CNVD-2024-25257)的补丁
Patch Description
MinIO是一款高性能的对象存储服务,采用GNU Affero通用公共许可证v3.0发布。 MinIO RELEASE.2022-10-02T19-29-29Z版本存在安全漏洞,该漏洞源于GetObject存在If-Modified-Since、If-Unmodified-Since标头的信息泄露。目前没有详细的漏洞细节提供。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

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://github.com/minio/minio

Reference
https://github.com/minio/minio/security/advisories/GHSA-95fr-cm4m-q5p9
Impacted products
Name
MinIO MinIO <RELEASE.2024-05-27T19-17-46Z
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-36107",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-36107"
    }
  },
  "description": "MinIO\u662f\u4e00\u6b3e\u9ad8\u6027\u80fd\u7684\u5bf9\u8c61\u5b58\u50a8\u670d\u52a1\uff0c\u91c7\u7528GNU Affero\u901a\u7528\u516c\u5171\u8bb8\u53ef\u8bc1v3.0\u53d1\u5e03\u3002\n\nMinIO RELEASE.2022-10-02T19-29-29Z\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eGetObject\u5b58\u5728If-Modified-Since\u3001If-Unmodified-Since\u6807\u5934\u7684\u4fe1\u606f\u6cc4\u9732\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://github.com/minio/minio",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-25257",
  "openTime": "2024-05-30",
  "patchDescription": "MinIO\u662f\u4e00\u6b3e\u9ad8\u6027\u80fd\u7684\u5bf9\u8c61\u5b58\u50a8\u670d\u52a1\uff0c\u91c7\u7528GNU Affero\u901a\u7528\u516c\u5171\u8bb8\u53ef\u8bc1v3.0\u53d1\u5e03\u3002\r\n\r\nMinIO RELEASE.2022-10-02T19-29-29Z\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eGetObject\u5b58\u5728If-Modified-Since\u3001If-Unmodified-Since\u6807\u5934\u7684\u4fe1\u606f\u6cc4\u9732\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\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": "MinIO\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2024-25257\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "MinIO MinIO \u003cRELEASE.2024-05-27T19-17-46Z"
  },
  "referenceLink": "https://github.com/minio/minio/security/advisories/GHSA-95fr-cm4m-q5p9",
  "serverity": "\u4e2d",
  "submitTime": "2024-05-29",
  "title": "MinIO\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2024-25257\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

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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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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