{"document":{"aggregate_severity":{"namespace":"https://access.redhat.com/security/updates/classification/","text":"Low"},"category":"csaf_vex","csaf_version":"2.0","distribution":{"text":"Copyright © Red Hat, Inc. All rights reserved.","tlp":{"label":"WHITE","url":"https://www.first.org/tlp/"}},"lang":"en","notes":[{"category":"legal_disclaimer","text":"This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). 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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.","title":"Vulnerability description"},{"category":"summary","text":"mlflow: MLflow: Use of weak hash in Dataset Digest Computation","title":"Vulnerability summary"},{"category":"other","text":"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.","title":"Statement"},{"category":"general","text":"The CVSS score(s) listed for this vulnerability do not reflect the associated product's status, and are included for informational purposes to better understand the severity of this vulnerability.","title":"CVSS score applicability"}],"product_status":{"known_affected":["red_hat_openshift_ai_(rhoai):rhoai/odh-mlflow-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-th06-cpu-torch210-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-th06-cuda130-torch210-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-th06-rocm64-torch291-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-training-cuda128-torch29-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9","red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9"]},"references":[{"category":"self","summary":"Canonical URL","url":"https://access.redhat.com/security/cve/CVE-2026-10803"},{"category":"external","summary":"RHBZ#2484755","url":"https://bugzilla.redhat.com/show_bug.cgi?id=2484755"},{"category":"external","summary":"https://www.cve.org/CVERecord?id=CVE-2026-10803","url":"https://www.cve.org/CVERecord?id=CVE-2026-10803"},{"category":"external","summary":"https://nvd.nist.gov/vuln/detail/CVE-2026-10803","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-10803"},{"category":"external","summary":"https://github.com/mlflow/mlflow/","url":"https://github.com/mlflow/mlflow/"},{"category":"external","summary":"https://github.com/mlflow/mlflow/issues/22419","url":"https://github.com/mlflow/mlflow/issues/22419"},{"category":"external","summary":"https://github.com/mlflow/mlflow/pull/22420","url":"https://github.com/mlflow/mlflow/pull/22420"},{"category":"external","summary":"https://vuldb.com/cve/CVE-2026-10803","url":"https://vuldb.com/cve/CVE-2026-10803"},{"category":"external","summary":"https://vuldb.com/submit/831462","url":"https://vuldb.com/submit/831462"},{"category":"external","summary":"https://vuldb.com/vuln/368252","url":"https://vuldb.com/vuln/368252"},{"category":"external","summary":"https://vuldb.com/vuln/368252/cti","url":"https://vuldb.com/vuln/368252/cti"}],"release_date":"2026-06-04T11:45:10.363000+00:00","remediations":[{"category":"none_available","details":"Fix 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MLflow: Use of weak hash in Dataset Digest Computation"}]}