{"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-2026-100845 exists.","fix":"Upgrade monai to 1.6.0 or later.","what":"CVE-2026-100845 is a high-severity unsafe deserialization vulnerability in Project-MONAI MONAI, published on 27 Sep 2026. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2026-100845 and fix it if it is affected.\n\nWhat it is: CVE-2026-100845 is a high-severity unsafe deserialization vulnerability in Project-MONAI MONAI, published on 27 Sep 2026. It can only be exploited from the same machine or local network, 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-2026-100845 exists.\n\nAffected packages and fixed versions:\n- monai (PyPI): affected all versions; fixed in 1.6.0\n- monai (PyPI): affected all versions; fixed in 1.6.0\n- monai (PyPI): affected all versions; fixed in 1.6.0\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-2026-100845/ (Markdown: https://insights.sbomify.com/CVE-2026-100845/index.md)","id":"CVE-2026-100845","markdown":"https://insights.sbomify.com/CVE-2026-100845/index.md","name":"CVE-2026-100845","record":{"aliases":["GHSA-4jj3-3266-2688","GHSA-wg9g-w2j2-8pgr","PYSEC-2026-4020"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"MONAI medical imaging library","requires_auth":"none","summary":"Attackers can execute arbitrary code by crafting malicious .npy files loaded via MONAI's NumpyReader due to unsafe pickle deserialization.","user_interaction":"required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"VulnCheck","cpe":[{"product":"monai","vendor":"project-monai"}],"cvss":{"score":8.5,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allow_pickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through MONAI's standard data pipeline.","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 before 1.6.0 Remote Code Execution via NumpyReader","id":"CVE-2026-100845","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":3,"n_references":2,"next":{"headline":"MONAI before 1.5.2 Remote Code Execution via Pickle Deserialization","id":"CVE-2026-100846"},"packages":[{"ecosystem":"PyPI","fixed":["1.6.0"],"introduced":["0"],"last_affected":[],"package":"monai","purl":null,"source":"GHSA-wg9g-w2j2-8pgr"},{"ecosystem":"PyPI","fixed":["1.6.0"],"introduced":["0"],"last_affected":[],"package":"monai","purl":"pkg:pypi/monai","source":"GHSA-wg9g-w2j2-8pgr"},{"ecosystem":"PyPI","fixed":["1.6.0"],"introduced":["0"],"last_affected":[],"package":"monai","purl":"pkg:pypi/monai","source":"PYSEC-2026-4020"}],"prev":{"headline":"MONAI before 1.6.0 OS Command Injection via dataset_name_or_id","id":"CVE-2026-100844"},"products":["MONAI"],"published":"2026-09-27","related":[{"cvss_score":8.8,"headline":"MONAI before 1.5.2 Remote Code Execution via Pickle Deserialization","id":"CVE-2026-100846","kev_date_added":null,"published":"2026-09-27"},{"cvss_score":8.6,"headline":"MONAI before 1.6.0 OS Command Injection via dataset_name_or_id","id":"CVE-2026-100844","kev_date_added":null,"published":"2026-09-27"},{"cvss_score":8.5,"headline":"MONAI through 1.6.0 Remote Code Execution via bundle configuration","id":"CVE-2026-100840","kev_date_added":null,"published":"2026-09-27"},{"cvss_score":8.5,"headline":"MONAI through 1.6.0 PersistentDataset Remote Code Execution via Pickle Cache","id":"CVE-2026-100841","kev_date_added":null,"published":"2026-09-27"},{"cvss_score":8.5,"headline":"MONAI before 1.6.0 Remote Code Execution via algo_from_pickle","id":"CVE-2026-100843","kev_date_added":null,"published":"2026-09-27"},{"cvss_score":7.3,"headline":"MONAI through 1.6.0 _get_fake_spatial_shape eval() Sandbox Bypass via Attribute Chains","id":"CVE-2026-100842","kev_date_added":null,"published":"2026-09-27"}],"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":"2026-09-28","vendors":["Project-MONAI"]},"summary":"Attackers can execute arbitrary code by crafting malicious .npy files loaded via MONAI's NumpyReader due to unsafe pickle deserialization.","url":"https://insights.sbomify.com/CVE-2026-100845/"}