{"answers":{"affected":"3 open source packages ship an affected version, including monai. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-58757 exists.","fix":"Upgrade monai to a fixed version for your release line: 1.5.1 or 1.5.1rc1.","what":"CVE-2025-58757 is a high-severity unsafe deserialization vulnerability in Project-MONAI MONAI, published on 8 Sep 2025. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2025-58757 and fix it if it is affected.\n\nWhat it is: CVE-2025-58757 is a high-severity unsafe deserialization vulnerability in Project-MONAI MONAI, published on 8 Sep 2025. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-58757 exists.\n\nAffected packages and fixed versions:\n- monai (PyPI): affected all versions; fixed in 1.5.1\n- monai (PyPI): affected all versions; fixed in 1.5.1\n- monai (PyPI): affected all versions; fixed in 1.5.1rc1\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-2025-58757/ (Markdown: https://insights.sbomify.com/CVE-2025-58757/index.md)","id":"CVE-2025-58757","markdown":"https://insights.sbomify.com/CVE-2025-58757/index.md","name":"CVE-2025-58757","record":{"aliases":["GHSA-p8cm-mm2v-gwjm","PYSEC-2025-142"],"analysis":{"component_type":"library","fix_type":"no_fix_stated","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"MONAI AI toolkit","requires_auth":"none","summary":"MONAI library allows remote code execution via unsafe pickle deserialization in data utilities, affecting healthcare AI applications.","user_interaction":"required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"medical_open_network_for_ai","vendor":"monai"}],"cvss":{"score":8.8,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available.","ecosystems":["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":"MONAI's unsafe use of Pickle deserialization may lead to RCE","id":"CVE-2025-58757","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"deserialization","year":"2025"},"n_packages":3,"n_references":1,"next":{"headline":"TinyEnv: Missing .env file not required — may cause unexpected behavior","id":"CVE-2025-58758"},"packages":[{"ecosystem":"PyPI","fixed":["1.5.1"],"introduced":["0"],"last_affected":[],"package":"monai","purl":null,"source":"GHSA-p8cm-mm2v-gwjm"},{"ecosystem":"PyPI","fixed":["1.5.1"],"introduced":["0"],"last_affected":[],"package":"monai","purl":"pkg:pypi/monai","source":"GHSA-p8cm-mm2v-gwjm"},{"ecosystem":"PyPI","fixed":["1.5.1rc1"],"introduced":["0"],"last_affected":[],"package":"monai","purl":"pkg:pypi/monai","source":"PYSEC-2025-142"}],"prev":{"headline":"MONAI's unsafe torch usage may lead to arbitrary code execution","id":"CVE-2025-58756"},"products":["MONAI"],"published":"2025-09-08","related":[{"cvss_score":8.8,"headline":"MONAI has path traversal issue that may lead to arbitrary file writes","id":"CVE-2025-58755","kev_date_added":null,"published":"2025-09-08"},{"cvss_score":8.8,"headline":"MONAI's unsafe torch usage may lead to arbitrary code execution","id":"CVE-2025-58756","kev_date_added":null,"published":"2025-09-08"}],"sources":[{"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":"no","exploitation":"poc","technical_impact":"total"},"state":"PUBLISHED","updated":"2025-09-09","vendors":["Project-MONAI"]},"summary":"MONAI library allows remote code execution via unsafe pickle deserialization in data utilities, affecting healthcare AI applications.","url":"https://insights.sbomify.com/CVE-2025-58757/"}