Vulnerability-Lookup

GHSA-7JMQ-CFCX-7MR9

Vulnerability from github – Published: 2026-07-21 15:30 – Updated: 2026-07-21 15:30

Details

In zenml-io/zenml version 0.94.2, the GET /api/v1/stack-deployment/stack endpoint (get_deployed_stack) lacks proper RBAC authorization checks, allowing any authenticated user to enumerate all deployed stacks across all users and tenants. This includes stack component details, service connector information, and user IDs of stack owners. The vulnerability arises from two issues: missing endpoint-level RBAC checks and the use of a server-side Client() that bypasses the RBAC enforcement layer by directly accessing the database through SqlZenStore. This exposes sensitive information such as infrastructure topology, service connector details, stack ownership, and deployment metadata, potentially enabling cross-tenant reconnaissance and further attacks in multi-tenant ZenML Pro/Cloud deployments.

Severity

5.0 (Medium)


                  
                    CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2026-11876"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-862"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-21T15:16:30Z",
    "severity": "MODERATE"
  },
  "details": "In zenml-io/zenml version 0.94.2, the `GET /api/v1/stack-deployment/stack` endpoint (`get_deployed_stack`) lacks proper RBAC authorization checks, allowing any authenticated user to enumerate all deployed stacks across all users and tenants. This includes stack component details, service connector information, and user IDs of stack owners. The vulnerability arises from two issues: missing endpoint-level RBAC checks and the use of a server-side `Client()` that bypasses the RBAC enforcement layer by directly accessing the database through `SqlZenStore`. This exposes sensitive information such as infrastructure topology, service connector details, stack ownership, and deployment metadata, potentially enabling cross-tenant reconnaissance and further attacks in multi-tenant ZenML Pro/Cloud deployments.",
  "id": "GHSA-7jmq-cfcx-7mr9",
  "modified": "2026-07-21T15:30:44Z",
  "published": "2026-07-21T15:30:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-11876"
    },
    {
      "type": "WEB",
      "url": "https://github.com/zenml-io/zenml/commit/9ad2c65f24ded22a5a98d289d63a7f629b434b61"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/3b434e02-0ee9-4b5e-a44b-0988b6f074c7"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-11876 (GCVE-0-2026-11876)

Vulnerability from cvelistv5 – Published: 2026-07-21 14:11 – Updated: 2026-07-22 18:27

Title

Missing Authorization in get_deployed_stack Endpoint in zenml-io/zenml

Summary

In zenml-io/zenml version 0.94.2, the `GET /api/v1/stack-deployment/stack` endpoint (`get_deployed_stack`) lacks proper RBAC authorization checks, allowing any authenticated user to enumerate all deployed stacks across all users and tenants. This includes stack component details, service connector information, and user IDs of stack owners. The vulnerability arises from two issues: missing endpoint-level RBAC checks and the use of a server-side `Client()` that bypasses the RBAC enforcement layer by directly accessing the database through `SqlZenStore`. This exposes sensitive information such as infrastructure topology, service connector details, stack ownership, and deployment metadata, potentially enabling cross-tenant reconnaissance and further attacks in multi-tenant ZenML Pro/Cloud deployments.

Severity

5 (Medium)


                        
                          CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-22 18:03 UTC

CWE

CWE-862 - Missing Authorization

Assigner

@huntr_ai CNA under the mitre root

CNA scorecard C 65/100 over 40 records in the last 180 days details

References

2 references

URL	Tags
https://huntr.com/bounties/3b434e02-0ee9-4b5e-a44…
https://github.com/zenml-io/zenml/commit/9ad2c65f…

Impacted products

1 product

Vendor	Product	Version
zenml-io	zenml-io/zenml	Affected: unspecified , < 0.95.0 (custom)

Show details on NVD website

JSON

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-11876",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-07-22T18:03:21.298320Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-07-22T18:27:58.532Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://huntr.com/bounties/3b434e02-0ee9-4b5e-a44b-0988b6f074c7"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "zenml-io/zenml",
          "vendor": "zenml-io",
          "versions": [
            {
              "lessThan": "0.95.0",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "In zenml-io/zenml version 0.94.2, the `GET /api/v1/stack-deployment/stack` endpoint (`get_deployed_stack`) lacks proper RBAC authorization checks, allowing any authenticated user to enumerate all deployed stacks across all users and tenants. This includes stack component details, service connector information, and user IDs of stack owners. The vulnerability arises from two issues: missing endpoint-level RBAC checks and the use of a server-side `Client()` that bypasses the RBAC enforcement layer by directly accessing the database through `SqlZenStore`. This exposes sensitive information such as infrastructure topology, service connector details, stack ownership, and deployment metadata, potentially enabling cross-tenant reconnaissance and further attacks in multi-tenant ZenML Pro/Cloud deployments."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N",
            "version": "3.0"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-862",
              "description": "CWE-862 Missing Authorization",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-07-21T14:11:19.753Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "shortName": "@huntr_ai"
      },
      "references": [
        {
          "url": "https://huntr.com/bounties/3b434e02-0ee9-4b5e-a44b-0988b6f074c7"
        },
        {
          "url": "https://github.com/zenml-io/zenml/commit/9ad2c65f24ded22a5a98d289d63a7f629b434b61"
        }
      ],
      "source": {
        "advisory": "3b434e02-0ee9-4b5e-a44b-0988b6f074c7",
        "discovery": "EXTERNAL"
      },
      "title": "Missing Authorization in get_deployed_stack Endpoint in zenml-io/zenml"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
    "cveId": "CVE-2026-11876",
    "datePublished": "2026-07-21T14:11:19.753Z",
    "dateReserved": "2026-06-10T13:13:28.285Z",
    "dateUpdated": "2026-07-22T18:27:58.532Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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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