Vulnerability from bitnami_vulndb
Published
2024-03-06 10:58
Modified
2026-09-10 15:46
Summary
Bypassing readOnly policy by creating a temporary 'mc share upload' URL
Details

MinIO is an open-source high performance object storage service and it is API compatible with Amazon S3 cloud storage service. In MinIO before version RELEASE.2021-03-04T00-53-13Z it is possible to bypass a readOnly policy by creating a temporary 'mc share upload' URL. Everyone is impacted who uses MinIO multi-users. This is fixed in version RELEASE.2021-03-04T00-53-13Z. As a workaround, one can disable uploads with Content-Type: multipart/form-data as mentioned in the S3 API RESTObjectPOST docs by using a proxy in front of MinIO.

To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "minio",
        "purl": "pkg:bitnami/minio"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2021.03.04"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:H/A:N",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-21362"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:minio:minio:*:*:*:*:*:*:*:*"
    ],
    "severity": "High"
  },
  "details": "MinIO is an open-source high performance object storage service and it is API compatible with Amazon S3 cloud storage service. In MinIO before version RELEASE.2021-03-04T00-53-13Z it is possible to bypass a readOnly policy by creating a temporary \u0027mc share upload\u0027 URL. Everyone is impacted who uses MinIO multi-users. This is fixed in version RELEASE.2021-03-04T00-53-13Z. As a workaround, one can disable uploads with `Content-Type: multipart/form-data` as mentioned in the S3 API RESTObjectPOST docs by using a proxy in front of MinIO.",
  "id": "BIT-minio-2021-21362",
  "modified": "2026-09-10T15:46:03.895Z",
  "published": "2024-03-06T10:58:10.992Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/minio/minio/commit/039f59b552319fcc2f83631bb421a7d4b82bc482"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/minio/minio/pull/11682"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/minio/minio/releases/tag/RELEASE.2021-03-04T00-53-13Z"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/minio/minio/security/advisories/GHSA-hq5j-6r98-9m8v"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-21362"
    }
  ],
  "schema_version": "1.5.0",
  "summary": "Bypassing readOnly policy by creating a temporary \u0027mc share upload\u0027 URL"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.


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.