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3 CVE

Critique 0 Élevée 1 Moyenne 2 Faible 0 Non évaluée 0 Exploitées (KEV) Tri : plus récentes « ZenML » ✕
  1. CVE-2026-68772 8.0 Élevée

    ZenML

    ZenML 0.94.6 contains a remote code execution vulnerability in the CloudpickleMaterializer component that allows attackers with write access to a shared artifact store to execute arbitrary code by planting a malicious pickle file. Attackers can replace a stored artifact.pkl file with a crafted cloudpickle payload containing a malicious __reduce__ method, which executes arbitrary system commands when any user or pipeline materializes the artifact through the unsanitized cloudpickle.load() call in cloudpickle_materializer.py.

  2. CVE-2026-11922 6.5 Moyenne

    zenml-io/zenml

    A vulnerability in zenml-io/zenml versions 0.57.0 through 0.94.2 allows an attacker to bypass rate-limiting on the `POST /api/v1/login` and self password-change endpoints by rotating the `X-Forwarded-For` header. The rate limiter keys requests by `request.client.host`, which is derived from the `X-Forwarded-For` header when Uvicorn is launched with `--proxy-headers --forwarded-allow-ips *`. This configuration allows clients to control the value of `request.client.host`, effectively bypassing rate-limiting protections. This vulnerability leaves the affected endpoints open to unthrottled credential guessing attacks.

  3. CVE-2026-11876 5.0 Moyenne

    zenml-io/zenml

    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.