{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-24141 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-24141 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-24141 is a high-severity unsafe deserialization vulnerability in NVIDIA Model Optimizer, published on 24 Mar 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-2026-24141 and fix it if it is affected.\n\nWhat it is: CVE-2026-24141 is a high-severity unsafe deserialization vulnerability in NVIDIA Model Optimizer, published on 24 Mar 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: There is no known exploitation of CVE-2026-24141 in the wild and no public exploit code.\n\nAffected product: NVIDIA Model Optimizer. No package-level version data is available, so check the vendor advisory linked from the reference page.\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-2026-24141/ (Markdown: https://insights.sbomify.com/CVE-2026-24141/index.md)","id":"CVE-2026-24141","markdown":"https://insights.sbomify.com/CVE-2026-24141/index.md","name":"CVE-2026-24141","record":{"aliases":["GHSA-jxv2-vgwx-37vv"],"analysis":{"component_type":"developer_tool","fix_type":"patch","impacts":["code_execution","privilege_escalation","data_modify","data_read"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"NVIDIA Model Optimizer","requires_auth":"none","summary":"A crafted ONNX file can trigger unsafe deserialization in NVIDIA Model Optimizer, allowing attackers to execute code, escalate privileges, and tamper with data.","user_interaction":"required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"nvidia","cpe":[],"cvss":{"score":7.8,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:L/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":"NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":null,"headline":"Deserialization in NVIDIA Model Optimizer","id":"CVE-2026-24141","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":0,"n_references":3,"next":{"headline":"Deserialization in TensorRT-LLM","id":"CVE-2026-24142"},"packages":[],"prev":{"headline":"MyTube has Mass Assignment via Settings Management","id":"CVE-2026-24140"},"products":["NVIDIA Model Optimizer"],"published":"2026-03-24","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"none","technical_impact":"total"},"state":"PUBLISHED","updated":"2026-03-25","vendors":["NVIDIA"]},"summary":"A crafted ONNX file can trigger unsafe deserialization in NVIDIA Model Optimizer, allowing attackers to execute code, escalate privileges, and tamper with data.","url":"https://insights.sbomify.com/CVE-2026-24141/"}