CVE-2026-10803

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This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet."}, {"lang": "es", "value": "Se ha encontrado una vulnerabilidad en MLflow hasta la versi\u00f3n 3.10.0. Este problema afecta a la funci\u00f3n mlflow.data.digest_utils del archivo mlflow/data/digest_utils.py del componente Dataset Digest Computation. Esta manipulaci\u00f3n provoca el uso de un hash d\u00e9bil. Es posible lanzar el ataque en el host local. Se considera que el ataque tiene una complejidad alta. La explotabilidad se eval\u00faa como dif\u00edcil. El exploit ha sido publicado y puede ser utilizado. El proyecto fue informado del problema tempranamente a trav\u00e9s de una pull request pero a\u00fan no ha reaccionado."}], "id": "CVE-2026-10803", "lastModified": "2026-07-22T20:10:00.127", "metrics": {"cvssMetricV2": [{"acInsufInfo": false, "baseSeverity": "LOW", "cvssData": {"accessComplexity": "HIGH", "accessVector": "LOCAL", "authentication": "SINGLE", "availabilityImpact": "PARTIAL", "baseScore": 2.4, "confidentialityImpact": "NONE", "integrityImpact": "PARTIAL", "vectorString": "AV:L/AC:H/Au:S/C:N/I:P/A:P", "version": "2.0"}, "exploitabilityScore": 1.5, "impactScore": 4.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "source": "cna@vuldb.com", "type": "Secondary", "userInteractionRequired": false}], "cvssMetricV31": [{"cvssData": {"attackComplexity": "HIGH", "attackVector": "LOCAL", "availabilityImpact": "LOW", "baseScore": 3.6, "baseSeverity": "LOW", "confidentialityImpact": "NONE", "integrityImpact": "LOW", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L", "version": "3.1"}, "exploitabilityScore": 1.0, "impactScore": 2.5, "source": "cna@vuldb.com", "type": "Secondary"}], "cvssMetricV40": [{"cvssData": {"Automatable": "NOT_DEFINED", "Recovery": "NOT_DEFINED", "Safety": "NOT_DEFINED", "attackComplexity": "HIGH", "attackRequirements": "NONE", "attackVector": "LOCAL", "availabilityRequirement": "NOT_DEFINED", "baseScore": 1.1, "baseSeverity": "LOW", "confidentialityRequirement": "NOT_DEFINED", "exploitMaturity": "PROOF_OF_CONCEPT", "integrityRequirement": "NOT_DEFINED", "modifiedAttackComplexity": "NOT_DEFINED", "modifiedAttackRequirements": "NOT_DEFINED", "modifiedAttackVector": "NOT_DEFINED", "modifiedPrivilegesRequired": "NOT_DEFINED", "modifiedSubAvailabilityImpact": "NOT_DEFINED", "modifiedSubConfidentialityImpact": "NOT_DEFINED", "modifiedSubIntegrityImpact": "NOT_DEFINED", "modifiedUserInteraction": "NOT_DEFINED", "modifiedVulnAvailabilityImpact": "NOT_DEFINED", "modifiedVulnConfidentialityImpact": "NOT_DEFINED", "modifiedVulnIntegrityImpact": "NOT_DEFINED", "privilegesRequired": "LOW", "providerUrgency": "NOT_DEFINED", "subAvailabilityImpact": "NONE", "subConfidentialityImpact": "NONE", "subIntegrityImpact": "NONE", "userInteraction": "NONE", "valueDensity": "NOT_DEFINED", "vectorString": "CVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X", "version": "4.0", "vulnAvailabilityImpact": "LOW", "vulnConfidentialityImpact": "NONE", "vulnIntegrityImpact": "LOW", "vulnerabilityResponseEffort": "NOT_DEFINED"}, "source": "cna@vuldb.com", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-10803", "options": [{"exploitation": "poc"}, {"automatable": "no"}, {"technicalImpact": "partial"}], "role": "CISA Coordinator", "timestamp": "2026-06-04T12:55:46.959879Z", "version": "2.0.3"}}]}, "published": "2026-06-04T12:16:24.440", "references": [{"source": "cna@vuldb.com", "tags": ["Product"], "url": "https://github.com/mlflow/mlflow/"}, {"source": "cna@vuldb.com", "tags": ["Exploit", "Issue Tracking", "Mitigation"], "url": "https://github.com/mlflow/mlflow/issues/22419"}, {"source": "cna@vuldb.com", "tags": ["Issue Tracking"], "url": "https://github.com/mlflow/mlflow/pull/22420"}, {"source": "cna@vuldb.com", "tags": ["Third Party Advisory", "VDB Entry"], "url": "https://vuldb.com/cve/CVE-2026-10803"}, {"source": "cna@vuldb.com", "tags": ["Third Party Advisory", "VDB Entry"], "url": "https://vuldb.com/submit/831462"}, {"source": "cna@vuldb.com", "tags": ["Third Party Advisory", "VDB Entry"], "url": "https://vuldb.com/vuln/368252"}, {"source": "cna@vuldb.com", "tags": ["Permissions Required", "VDB Entry"], "url": "https://vuldb.com/vuln/368252/cti"}, {"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "tags": ["Exploit", "Issue Tracking", "Mitigation"], "url": "https://github.com/mlflow/mlflow/issues/22419"}], "sourceIdentifier": "cna@vuldb.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-327"}, {"lang": "en", "value": "CWE-328"}], "source": "cna@vuldb.com", "type": "Secondary"}]}

{"bugzilla": {"description": "mlflow: MLflow: Use of weak hash in Dataset Digest Computation", "id": "2484755", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2484755"}, "csaw": false, "cvss3": {"cvss3_base_score": "2.5", "cvss3_scoring_vector": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:N", "status": "draft"}, "cwe": "CWE-328", "details": ["A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet.", "A flaw was found in MLflow. This vulnerability stems from the use of a weak hash algorithm within the Dataset Digest Computation component. A local attacker could potentially exploit this weakness, which may impact the integrity or authenticity of data. Exploitation is considered difficult due to high complexity."], "name": "CVE-2026-10803", "package_state": [{"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-mlflow-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "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": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-th06-cpu-torch210-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-th06-cuda130-torch210-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-th06-rocm64-torch291-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-training-cuda128-torch29-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "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": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-06-04T11:45:10Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-10803\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-10803\nhttps://github.com/mlflow/mlflow/\nhttps://github.com/mlflow/mlflow/issues/22419\nhttps://github.com/mlflow/mlflow/pull/22420\nhttps://vuldb.com/cve/CVE-2026-10803\nhttps://vuldb.com/submit/831462\nhttps://vuldb.com/vuln/368252\nhttps://vuldb.com/vuln/368252/cti"], "statement": "This flaw, rated as Low impact, affects the MLflow Dataset Digest Computation component within Red Hat OpenShift AI. A local attacker could exploit the use of a weak hash algorithm to potentially compromise data integrity or authenticity. Successful exploitation is difficult due to the high complexity of the attack.", "threat_severity": "Low"}

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