{ "document": { "category": "csaf_base", "csaf_version": "2.0", "distribution": { "tlp": { "label": "WHITE" } }, "lang": "en", "notes": [ { "category": "legal_disclaimer", "text": "The Netherlands Cyber Security Center (henceforth: NCSC-NL) maintains this portal to enhance access to its information and vulnerabilities. The use of this information is subject to the following terms and conditions:\n\nThe vulnerabilities disclosed in this portal are gathered by NCSC-NL from a variety of open sources, which the user can retrieve from other platforms. NCSC-NL makes every reasonable effort to ensure that the content of this portal is kept up to date, and that it is accurate and complete. Nevertheless, NCSC-NL cannot entirely rule out the possibility of errors, and therefore cannot give any warranty in respect of its completeness, accuracy or real-time keeping up-to-date. NCSC-NL does not control nor guarantee the accuracy, relevance, timeliness or completeness of information obtained from these external sources. The vulnerabilities disclosed in this portal are intended solely for the convenience of professional parties to take appropriate measures to manage the risks posed to the cybersecurity. No rights can be derived from the information provided therein.\n\nNCSC-NL and the Kingdom of the Netherlands assume no legal liability or responsibility for any damage resulting from either the use or inability of use of the vulnerabilities disclosed in this portal. This includes damage resulting from the inaccuracy of incompleteness of the information contained in it.\nThe information on this page is subject to Dutch law. All disputes related to or arising from the use of this portal regarding the disclosure of vulnerabilities will be submitted to the competent court in The Hague. This choice of means also applies to the court in summary proceedings." } ], "publisher": { "category": "coordinator", "contact_details": "cert@ncsc.nl", "name": "National Cyber Security Centre", "namespace": "https://www.ncsc.nl/" }, "title": "CVE-2025-15379", "tracking": { "current_release_date": "2026-04-01T19:52:49.185111Z", "generator": { "date": "2026-02-17T15:00:00Z", "engine": { "name": "V.E.L.M.A", "version": "1.7" } }, "id": "CVE-2025-15379", "initial_release_date": "2026-03-30T08:25:34.738560Z", "revision_history": [ { "date": "2026-03-30T08:25:34.738560Z", "number": "1", "summary": "CVE created.| Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| References created (2).| CWES updated (1)." }, { "date": "2026-03-30T08:25:37.052307Z", "number": "2", "summary": "NCSC Score created." }, { "date": "2026-03-30T11:35:01.912495Z", "number": "3", "summary": "NCSC Score updated." }, { "date": "2026-03-30T14:38:52.347818Z", "number": "4", "summary": "Source created.| CVE status created. (valid)| Description created for source.| Products created (1).| References created (2).| CWES updated (1).| Unknown change." }, { "date": "2026-03-30T14:38:53.922528Z", "number": "5", "summary": "NCSC Score updated." }, { "date": "2026-03-31T00:45:48.654017Z", "number": "6", "summary": "Source connected.| CVE status created. (valid)| EPSS created." }, { "date": "2026-03-31T00:45:53.544009Z", "number": "7", "summary": "NCSC Score updated." }, { "date": "2026-03-31T04:38:48.156864Z", "number": "8", "summary": "Unknown change." }, { "date": "2026-04-01T00:27:41.570420Z", "number": "9", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| Products connected (3).| Product Identifiers created (1).| Product Remediations created (3).| References created (4).| CWES updated (1).| Vendor_assessment created." }, { "date": "2026-04-01T00:27:49.564034Z", "number": "10", "summary": "NCSC Score updated." }, { "date": "2026-04-01T01:03:01.235406Z", "number": "11", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| References created (4).| CWES updated (1)." }, { "date": "2026-04-01T19:50:25.990375Z", "number": "12", "summary": "Description removed for source.| Description created for source.| References created (1)." } ], "status": "interim", "version": "12" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-1439279", "product_identification_helper": { "cpe": "cpe:/a:redhat:openshift_ai" } } } ], "category": "product_name", "name": "Red Hat OpenShift AI (RHOAI)" }, { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5811359" } } ], "category": "product_name", "name": "odh-mlflow-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5830423" } } ], "category": "product_name", "name": "odh-training-cuda128-torch29-py312-rhel9" } ], "category": "product_family", "name": "Red Hat OpenShift AI (RHOAI)" } ], "category": "vendor", "name": "Red Hat" }, { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:unknown/unspecified|<3.8.2", "product": { "name": "vers:unknown/unspecified|<3.8.2", "product_id": "CSAFPID-5965350" } } ], "category": "product_name", "name": "mlflow/mlflow" } ], "category": "vendor", "name": "mlflow" } ] }, "vulnerabilities": [ { "cve": "CVE-2025-15379", "cwe": { "id": "CWE-77", "name": "Improper Neutralization of Special Elements used in a Command ('Command Injection')" }, "notes": [ { "category": "description", "text": "A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.", "title": "nvd - https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=CVE-2025-15379" }, { "category": "description", "text": "A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.", "title": "cveprojectv5 - https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2025/15xxx/CVE-2025-15379.json" }, { "category": "description", "text": "A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.\nA flaw was found in MLflow. When deploying a model with `env_manager=LOCAL`, MLflow's model serving container initialization code, specifically the `_install_model_dependencies_to_env()` function, reads dependency specifications from the model artifact's `python_env.yaml` file. An attacker can supply a malicious model artifact, leading to command injection as these specifications are directly interpolated into a shell command without proper sanitization. This allows for arbitrary command execution on systems deploying the malicious model.\nThis vulnerability in MLflow allows for arbitrary command execution when deploying a model with `env_manager=LOCAL`. An attacker can supply a malicious model artifact containing a crafted `python_env.yaml` file, leading to command injection during container initialization. During the deployment of the model MLflow passes the maliciously crafted requirement string to the shell command without properly sanitization of possible command injections, as consequence the attacker may be able to execute arbitrary code at the same permission level as the user running the MLflow process.", "title": "redhat - https://access.redhat.com/hydra/rest/securitydata/cve/CVE-2025-15379.json" }, { "category": "description", "text": "A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.1.", "title": "github - https://api.github.com/advisories/GHSA-r23q-823p-vmf7" }, { "category": "other", "text": "0.00168", "title": "EPSS" }, { "category": "other", "text": "4.2", "title": "NCSC Score" }, { "category": "other", "text": "There is product_remediation data available from source Redhat", "title": "NCSC Score top decreasing factors" }, { "category": "details", "text": "Severity: 4\n", "title": "Vendor assessment" } ], "product_status": { "known_affected": [ "CSAFPID-5965350", "CSAFPID-1439279", "CSAFPID-5811359", "CSAFPID-5830423" ] }, "references": [ { "category": "external", "summary": "Source - nvd", "url": "https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=CVE-2025-15379" }, { "category": "external", "summary": "Source - cveprojectv5", "url": "https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2025/15xxx/CVE-2025-15379.json" }, { "category": "external", "summary": "Source - first", "url": "https://api.first.org/data/v1/epss?limit=10000&offset=40000" }, { "category": "external", "summary": "Source - redhat", "url": "https://access.redhat.com/hydra/rest/securitydata/cve/CVE-2025-15379.json" }, { "category": "external", "summary": "Source - github", "url": "https://api.github.com/advisories/GHSA-r23q-823p-vmf7" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; redhat", "url": "https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; redhat", "url": "https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75" }, { "category": "external", "summary": "Reference - redhat", "url": "https://www.cve.org/CVERecord?id=CVE-2025-15379" }, { "category": "external", "summary": "Reference - github; redhat", "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-15379" }, { "category": "external", "summary": "Reference - github", "url": "https://github.com/advisories/GHSA-r23q-823p-vmf7" }, { "category": "external", "summary": "Reference - github", "url": "https://github.com/mlflow/mlflow/commit/a22ce7157f646bdce4c95106fc38ccc9ca289205" } ], "remediations": [ { "category": "mitigation", "details": "To mitigate this issue, avoid deploying MLflow models with `env_manager=LOCAL`. If using `env_manager=LOCAL` is unavoidable, ensure that all model artifacts, particularly their `python_env.yaml` files, originate from trusted sources and are thoroughly vetted for malicious content. This operational control helps prevent the injection of arbitrary commands during model serving container initialization.", "product_ids": [ "CSAFPID-1439279", "CSAFPID-5811359", "CSAFPID-5830423" ] } ], "scores": [ { "cvss_v3": { "version": "3.0", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H", "baseScore": 10.0, "baseSeverity": "CRITICAL" }, "products": [ "CSAFPID-1439279", "CSAFPID-5811359", "CSAFPID-5830423", "CSAFPID-5965350" ] } ], "title": "CVE-2025-15379" } ] }