CVE-2026-44513

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"vendor": "Red Hat", "product": "Red Hat AI Inference Server", "packageName": "rhaiis/vllm-tpu-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "affected"}, {"cpes": ["cpe:/a:redhat:ai_inference_server:3"], "vendor": "Red Hat", "product": "Red Hat AI Inference Server", "packageName": "rhaii/vllm-cpu-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "affected"}, {"cpes": ["cpe:/a:redhat:ai_inference_server:3"], "vendor": "Red Hat", "product": "Red Hat AI Inference Server", "packageName": "rhaii/vllm-cuda-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "affected"}, {"cpes": ["cpe:/a:redhat:enterprise_linux_ai:3"], "vendor": "Red Hat", "product": "Red Hat Enterprise Linux AI (RHEL AI) 3", "packageName": "rhelai3/bootc-aws-cuda-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "affected"}, {"cpes": ["cpe:/a:redhat:enterprise_linux_ai:3"], "vendor": "Red Hat", "product": "Red Hat Enterprise Linux AI (RHEL AI) 3", "packageName": "rhelai3/bootc-azure-cuda-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "affected"}, {"cpes": ["cpe:/a:redhat:enterprise_linux_ai:3"], "vendor": "Red Hat", "product": "Red Hat Enterprise Linux AI (RHEL AI) 3", "packageName": "rhelai3/bootc-cuda-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "affected"}, {"cpes": ["cpe:/a:redhat:enterprise_linux_ai:3"], "vendor": "Red Hat", "product": "Red Hat Enterprise Linux AI (RHEL AI) 3", "packageName": "rhelai3/bootc-gcp-cuda-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "affected"}, {"cpes": ["cpe:/a:redhat:openshift_ai"], "vendor": "Red Hat", "product": "Red Hat OpenShift AI (RHOAI)", "packageName": "rhoai/odh-openvino-model-server-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "affected"}, {"cpes": ["cpe:/a:redhat:openshift_ai"], "vendor": "Red Hat", "product": "Red Hat OpenShift AI (RHOAI)", "packageName": "rhoai/odh-th06-cuda130-torch291-py312-rhel9", "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "defaultStatus": "unaffected"}]}], "published": "2026-05-14T17:16:22.903", "references": [{"url": "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v", "tags": ["Exploit", "Mitigation", "Vendor Advisory"], "source": "security-advisories@github.com"}, {"url": "https://access.redhat.com/errata/RHSA-2026:60520", "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"}, {"url": "https://access.redhat.com/security/cve/CVE-2026-44513", "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"}, {"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477507", "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"}, {"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44513.json", "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"}], "vulnStatus": "Modified", "weaknesses": [{"type": "Secondary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-94"}]}, {"type": "Secondary", "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "description": [{"lang": "en", "value": "CWE-358"}]}], "descriptions": [{"lang": "en", "value": "Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause \u2014 the trust_remote_code gate was implemented inside DiffusionPipeline.download() rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited download() also bypassed the security check. DiffusionPipeline.from_pretrained('repoA', custom_pipeline='attacker/repoB', trust_remote_code=False) \u2014 the gate evaluated against repoA's file list rather than repoB's, so repoB's pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained('/local/snapshot', custom_pipeline='attacker/repoB', trust_remote_code=False) \u2014 the local-path branch never invoked download(), so the gate was never reached and remote code from repoB executed. DiffusionPipeline.from_pretrained('/local/snapshot', trust_remote_code=False) where the snapshot contains custom component files (e.g. unet/my_unet_model.py) referenced from model_index.json \u2014 same root cause; the local path skipped download() and custom component code executed. This vulnerability is fixed in 0.38.0."}, {"lang": "es", "value": "Diffusers es la biblioteca para modelos de difusi\u00f3n preentrenados. Antes de la versi\u00f3n 0.38.0, una omisi\u00f3n de \u2019trust_remote_code\u2019 en DiffusionPipeline.from_pretrained permite la ejecuci\u00f3n remota de c\u00f3digo arbitraria a pesar de que el usuario pase \u2019trust_remote_code=False\u2019 (o lo omita, que es el valor predeterminado). La vulnerabilidad tiene tres variantes, todas compartiendo la misma causa ra\u00edz - la compuerta de \u2019trust_remote_code\u2019 se implement\u00f3 dentro de DiffusionPipeline.download() en lugar de en el sitio real de carga del m\u00f3dulo din\u00e1mico, por lo que cualquier ruta de c\u00f3digo que omitiera o cortocircuitara download() tambi\u00e9n omit\u00eda la verificaci\u00f3n de seguridad. DiffusionPipeline.from_pretrained(\u2019repoA\u2019, custom_pipeline=\u2019atacante/repoB\u2019, trust_remote_code=False) - la compuerta evalu\u00f3 la lista de archivos de repoA en lugar de la de repoB, por lo que el pipeline.py de repoB fue cargado y ejecutado. DiffusionPipeline.from_pretrained(\u2019/local/snapshot\u2019, custom_pipeline=\u2019atacante/repoB\u2019, trust_remote_code=False) - la rama de ruta local nunca invoc\u00f3 download(), por lo que la compuerta nunca fue alcanzada y el c\u00f3digo remoto de repoB se ejecut\u00f3. DiffusionPipeline.from_pretrained(\u2019/local/snapshot\u2019, trust_remote_code=False) donde la instant\u00e1nea contiene archivos de componentes personalizados (p. ej., unet/my_unet_model.py) referenciados desde model_index.json - misma causa ra\u00edz; la ruta local omiti\u00f3 download() y el c\u00f3digo del componente personalizado se ejecut\u00f3. Esta vulnerabilidad est\u00e1 corregida en la versi\u00f3n 0.38.0."}], "lastModified": "2026-10-26T14:10:00.130", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:huggingface:diffusers:*:*:*:*:*:python:*:*", "vulnerable": true, "matchCriteriaId": "D7F2A2AE-D122-46BA-BD64-67DCF4C22677", "versionEndExcluding": "0.38.0"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}