{"answers":{"affected":"4 open source packages ship an affected version, including mlflow. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-15379 exists.","fix":"Upgrade mlflow to 3.8.1 or later.","what":"CVE-2025-15379 is a critical command injection vulnerability in Lfprojects Mlflow, published on 30 Mar 2026. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2025-15379 and fix it if it is affected.\n\nWhat it is: CVE-2025-15379 is a critical command injection vulnerability in Lfprojects Mlflow, published on 30 Mar 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-15379 exists.\n\nAffected packages and fixed versions:\n- mlflow (Bitnami): affected from 3.8.0; fixed in 3.8.1\n- mlflow (PyPI): affected all versions; fixed in 3.8.1\n- mlflow (PyPI): affected all versions; fixed in 3.8.1\n- mlflow (PyPI): affected all versions; fixed in 3.8.1\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2025-15379/ (Markdown: https://insights.sbomify.com/CVE-2025-15379/index.md)","id":"CVE-2025-15379","markdown":"https://insights.sbomify.com/CVE-2025-15379/index.md","name":"CVE-2025-15379","record":{"aliases":["BIT-mlflow-2025-15379","GHSA-r23q-823p-vmf7","PYSEC-2026-423"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":true,"product_category":"MLflow machine learning library","requires_auth":"none","summary":"Attackers can execute arbitrary commands by providing malicious model artifacts when deploying with local environment manager.","user_interaction":"not_required","vuln_class":"command_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"@huntr_ai","cpe":[{"product":"mlflow","vendor":"lfprojects"}],"cvss":{"score":10,"severity":"critical","source":"cna","vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H","version":"3.0"},"cwes":[{"id":"CWE-78","name":"Improper Neutralization of Special Elements used in an OS Command"},{"id":"CWE-77","name":"Improper Neutralization of Special Elements used in a Command"}],"description":"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.","ecosystems":["Bitnami","PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":true,"headline":"Command Injection in mlflow/mlflow","id":"CVE-2025-15379","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"lfprojects:mlflow","products":["lfprojects:mlflow"],"type":"command_injection","year":"2025"},"n_packages":4,"n_references":2,"next":{"headline":"NotificationX \u003c= 3.2.0 - Unauthenticated DOM-Based Cross-Site Scripting via 'nx-preview'","id":"CVE-2025-15380"},"packages":[{"ecosystem":"Bitnami","fixed":["3.8.1"],"introduced":["3.8.0"],"last_affected":[],"package":"mlflow","purl":"pkg:bitnami/mlflow","source":"BIT-mlflow-2025-15379"},{"ecosystem":"PyPI","fixed":["3.8.1"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":null,"source":"GHSA-r23q-823p-vmf7"},{"ecosystem":"PyPI","fixed":["3.8.1"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":"pkg:pypi/mlflow","source":"GHSA-r23q-823p-vmf7"},{"ecosystem":"PyPI","fixed":["3.8.1"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":"pkg:pypi/mlflow","source":"PYSEC-2026-423"}],"prev":{"headline":"AJS Footnotes \u003c= 1.0 - Unauthenticated Stored Cross-Site Scripting","id":"CVE-2025-15378"},"products":["mlflow/mlflow"],"published":"2026-03-30","related":[{"cvss_score":9.3,"headline":"MLflow Server-Side Request Forgery","id":"CVE-2026-64849","kev_date_added":"2026-08-19","published":"2026-08-17"},{"cvss_score":10,"headline":"Remote Code Execution due to Full Controlled File Write in mlflow/mlflow","id":"CVE-2024-0520","kev_date_added":null,"published":"2024-06-06"},{"cvss_score":10,"headline":"Path Traversal: '\\..\\filename'","id":"CVE-2023-6977","kev_date_added":null,"published":"2023-12-20"},{"cvss_score":10,"headline":"Improper Neutralization of Special Elements Used in a Template Engine in mlflow/mlflow","id":"CVE-2023-6709","kev_date_added":null,"published":"2023-12-12"},{"cvss_score":10,"headline":"MLflow Arbitrary File Upload","id":"CVE-2023-6015","kev_date_added":null,"published":"2023-11-16"},{"cvss_score":10,"headline":"MLflow Arbitrary File Write","id":"CVE-2023-6018","kev_date_added":null,"published":"2023-11-16"}],"sources":[{"class":"attribution","licence":"Apache-2.0","name":"Bitnami","prefix":"BIT"},{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CC BY 4.0","name":"GitHub Advisory Database","prefix":"GHSA"},{"class":"attribution","licence":"CC BY 4.0","name":"PyPA Advisory Database","prefix":"PYSEC"},{"class":"attribution","licence":"US public information, NVD API terms","name":"NVD"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"yes","exploitation":"poc","technical_impact":"total"},"state":"PUBLISHED","updated":"2026-09-07","vendors":["mlflow"]},"summary":"Attackers can execute arbitrary commands by providing malicious model artifacts when deploying with local environment manager.","url":"https://insights.sbomify.com/CVE-2025-15379/"}