{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2025-23254 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2025-23254 yet. Limit exposure of the affected software until one is available.","what":"CVE-2025-23254 is a high-severity unsafe deserialization vulnerability in NVIDIA TensorRT-LLM, published on 1 May 2025. 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-2025-23254 and fix it if it is affected.\n\nWhat it is: CVE-2025-23254 is a high-severity unsafe deserialization vulnerability in NVIDIA TensorRT-LLM, published on 1 May 2025. 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-2025-23254 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-2025-23254/ (Markdown: https://insights.sbomify.com/CVE-2025-23254/index.md)","id":"CVE-2025-23254","markdown":"https://insights.sbomify.com/CVE-2025-23254/index.md","name":"CVE-2025-23254","record":{"aliases":["GHSA-4485-mg4q-xjgv"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution","data_read","data_modify"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"NVIDIA TensorRT-LLM","requires_auth":"low_privilege","summary":"Local attackers can exploit a data validation flaw in the Python executor to achieve code execution, information disclosure, and data tampering.","user_interaction":"not_required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"nvidia","cpe":[],"cvss":{"score":8.8,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering.","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 TensorRT-LLM","id":"CVE-2025-23254","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"deserialization","year":"2025"},"n_packages":0,"n_references":1,"next":{"headline":"Denial of service in NVIDIA CUDA Toolkit","id":"CVE-2025-23255"},"packages":[],"prev":{"headline":"Hardcoded credentials in NVIDIA App","id":"CVE-2025-23253"},"products":["TensorRT-LLM"],"published":"2025-05-01","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":"2025-05-01","vendors":["NVIDIA"]},"summary":"Local attackers can exploit a data validation flaw in the Python executor to achieve code execution, information disclosure, and data tampering.","url":"https://insights.sbomify.com/CVE-2025-23254/"}