{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-24226 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-24226 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-24226 is a medium-severity code injection vulnerability in NVIDIA TensorRT-LLM, published on 14 Jul 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-2026-24226 and fix it if it is affected.\n\nWhat it is: CVE-2026-24226 is a medium-severity code injection vulnerability in NVIDIA TensorRT-LLM, published on 14 Jul 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-2026-24226 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-2026-24226/ (Markdown: https://insights.sbomify.com/CVE-2026-24226/index.md)","id":"CVE-2026-24226","markdown":"https://insights.sbomify.com/CVE-2026-24226/index.md","name":"CVE-2026-24226","record":{"aliases":["GHSA-3mvq-5wh9-4r44"],"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 improper code generation control in NVIDIA TensorRT-LLM to execute code, tamper with data, or disclose information.","user_interaction":"required","vuln_class":"code_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"nvidia","cpe":[],"cvss":{"score":6.3,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-829","name":"Inclusion of Functionality from Untrusted Control Sphere"}],"description":"NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause improper control of code generation. 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":"Code injection in TensorRT-LLM","id":"CVE-2026-24226","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"code_injection","year":"2026"},"n_packages":0,"n_references":2,"next":{"headline":"Deserialization in TensorRT","id":"CVE-2026-24227"},"packages":[],"prev":{"headline":"Information disclosure in DGX Spark","id":"CVE-2026-24225"},"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 improper code generation control in NVIDIA TensorRT-LLM to execute code, tamper with data, or disclose information.","url":"https://insights.sbomify.com/CVE-2026-24226/"}