CVE-2025-14921

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{"affected": [{"affectedData": [{"defaultStatus": "unknown", "product": "Transformers", "vendor": "Hugging Face", "versions": [{"status": "affected", "version": "9c8bd3fc1befe54f3efb9f385561eef49f060a70"}]}], "source": "zdi-disclosures@trendmicro.com"}], "configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:huggingface:transformers:4.54.1:*:*:*:*:*:*:*", "matchCriteriaId": "A0D191EE-0D6C-4D5D-A1B7-C19000D57F1C", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25424."}, {"lang": "es", "value": "Vulnerabilidad de ejecuci\u00f3n remota de c\u00f3digo (RCE) por deserializaci\u00f3n de datos no confiables en el modelo Transformer?XL de Hugging Face Transformers. La vulnerabilidad permite a atacantes remotos ejecutar c\u00f3digo arbitrario en instalaciones afectadas de Hugging Face Transformers. Se requiere interacci\u00f3n del usuario para explotar esta vulnerabilidad, ya que el objetivo debe visitar una p\u00e1gina maliciosa o abrir un archivo malicioso.\\n\\nEl defecto espec\u00edfico existe dentro del an\u00e1lisis de los archivos de modelo. El problema se debe a la falta de una validaci\u00f3n adecuada de los datos suministrados por el usuario, lo que puede provocar la deserializaci\u00f3n de datos no confiables. Un atacante puede aprovechar esta vulnerabilidad para ejecutar c\u00f3digo en el contexto del usuario actual. Fue ZDI?CAN?25424."}], "id": "CVE-2025-14921", "lastModified": "2026-10-19T22:10:00.130", "metrics": {"cvssMetricV30": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.0"}, "exploitabilityScore": 1.8, "impactScore": 5.9, "source": "zdi-disclosures@trendmicro.com", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2025-14921", "options": [{"exploitation": "none"}, {"automatable": "no"}, {"technicalImpact": "total"}], "role": "CISA Coordinator", "timestamp": "2025-12-24T16:25:00.614898Z", "version": "2.0.3"}}]}, "published": "2025-12-23T21:15:47.340", "references": [{"source": "zdi-disclosures@trendmicro.com", "tags": ["Third Party Advisory"], "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1149/"}], "sourceIdentifier": "zdi-disclosures@trendmicro.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-502"}], "source": "zdi-disclosures@trendmicro.com", "type": "Secondary"}]}

{"bugzilla": {"description": "transformers: code execution when processing a malicious Transformer-XL model file", "id": "2424743", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2424743"}, "csaw": false, "cvss3": {"cvss3_base_score": "8.8", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "status": "draft"}, "cwe": "CWE-502", "details": ["Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\nThe specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25424.", "A flaw was found in the Hugging Face Transformers library. The parsing of model files fails to validate user-supplied data, causing a deserialization of untrusted data. An attacker can exploit this issue by providing a malicious Transformer-XL model, resulting in arbitrary code execution in the context of the current user processing the file."], "mitigation": {"lang": "en:us", "value": "To mitigate this issue, users should avoid processing Transformer-XL model files from untrusted or unverified sources. Ensure that all Transformer-XL model files processed by the Hugging Face Transformers library originate from trusted repositories or have been verified for integrity. If that is not possible, consider processing untrusted models within an isolated sandbox environment."}, "name": "CVE-2025-14921", "package_state": [{"cpe": "cpe:/a:redhat:openshift_lightspeed", "fix_state": "Affected", "package_name": "openshift-lightspeed/lightspeed-ocp-rag-rhel9", "product_name": "OpenShift Lightspeed"}, {"cpe": "cpe:/a:redhat:openshift_lightspeed", "fix_state": "Affected", "package_name": "openshift-lightspeed/lightspeed-service-api-rhel9", "product_name": "OpenShift Lightspeed"}, {"cpe": "cpe:/a:redhat:openshift_lightspeed", "fix_state": "Affected", "package_name": "openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9", "product_name": "OpenShift Lightspeed"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Affected", "package_name": "rhaiis/model-opt-cuda-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Affected", "package_name": "rhaiis-preview/vllm-cuda-rhel9", 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OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-guardrails-detector-huggingface-runtime-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-agent-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-controller-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-router-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-storage-initializer-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-llama-stack-core-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-openvino-model-server-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-ta-lmes-job-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-cuda121-torch24-py311-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-cuda124-torch25-py311-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-cuda128-torch28-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-operator-rhel8", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-operator-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-rocm62-torch24-py311-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-rocm62-torch25-py311-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-rocm64-torch28-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-vllm-cpu-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-vllm-cuda-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-vllm-gaudi-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-vllm-rocm-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2025-12-23T21:04:23Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-14921\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-14921\nhttps://www.zerodayinitiative.com/advisories/ZDI-25-1149/"], "statement": "To exploit this issue, an attacker must convince a user to process a specially crafted Transformer-XL model file or visiting a malicious page, limiting the possibility of exploitation. Additionally, model files are not typically processed by users with administrative privileges, limiting the potential for a full system compromise. Due to these reasons, this vulnerability has been rated with an important severity.", "threat_severity": "Important"}

{"created": "2025-12-24T11:51:37.199897+00:00", "updated": "2025-12-24T11:51:37.199924+00:00", "vendors": ["huggingface", "huggingface$PRODUCT$transformers"]}