{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-24259 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-24259 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-24259 is a medium-severity missing authorization vulnerability in NVIDIA TensorRT-LLM, published on 14 Jul 2026. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-24259 and fix it if it is affected.\n\nWhat it is: CVE-2026-24259 is a medium-severity missing authorization vulnerability in NVIDIA TensorRT-LLM, published on 14 Jul 2026. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-24259 in the wild and no public exploit code.\n\nAffected product: NVIDIA TensorRT-LLM. 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-2026-24259/ (Markdown: https://insights.sbomify.com/CVE-2026-24259/index.md)","id":"CVE-2026-24259","markdown":"https://insights.sbomify.com/CVE-2026-24259/index.md","name":"CVE-2026-24259","record":{"aliases":["GHSA-vv3c-v9jv-69wx"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution","data_modify","data_read"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"NVIDIA TensorRT-LLM","requires_auth":"high_privilege","summary":"An attacker can exploit missing authentication in NVIDIA TensorRT-LLM to execute code, tamper with data, and disclose information.","user_interaction":"not_required","vuln_class":"missing_authorization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"nvidia","cpe":[],"cvss":{"score":6.4,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-306","name":"Missing Authentication for Critical Functionality"}],"description":"NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause missing authentication for a critical function. A successful exploit of this vulnerability might lead to code execution, 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":"Missing authorization in TensorRT-LLM","id":"CVE-2026-24259","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"missing_authorization","year":"2026"},"n_packages":0,"n_references":2,"next":{"headline":"Race condition in Container Toolkit","id":"CVE-2026-24260"},"packages":[],"prev":{"headline":"Other in Dynamo","id":"CVE-2026-24255"},"products":["TensorRT-LLM"],"published":"2026-07-14","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":"2026-07-15","vendors":["NVIDIA"]},"summary":"An attacker can exploit missing authentication in NVIDIA TensorRT-LLM to execute code, tamper with data, and disclose information.","url":"https://insights.sbomify.com/CVE-2026-24259/"}