{"id":"CVE-2026-24233","aliases":["EUVD-2026-44448","GHSA-rjg7-v496-w6mx"],"status":"published","title":"NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model...","description":"NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.","severity":{"version":"3.1","score":8.4,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-10","score":0.0039,"percentile":0.33446,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":false},"cwes":["CWE-502"],"published":"2026-07-14T20:00:37Z","modified":"2026-10-24T21:10:00Z","products":[{"vendor":"nvidia","product":"tensorrt-llm"}],"references":[{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-24233"},{"url":"https://www.cve.org/CVERecord?id=CVE-2026-24233"},{"url":"https://github.com/advisories/GHSA-rjg7-v496-w6mx"}],"sources":{"cve":[{"id":"CVE-2026-24233","description":"NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.","status":"published","published":"2026-07-14T20:00:37.279Z","modified":"2026-07-15T14:15:19.646Z","cvss":[{"version":"3.1","score":8.4,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"high","assessor":"cna"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:19:50.575061Z"}],"euvd":[{"id":"EUVD-2026-44448","description":"NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.","status":"published","published":"2026-07-14T20:00:37Z","modified":"2026-07-15T14:15:19Z","cvss":[{"version":"3.1","score":8.4,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T18:19:52.740004Z"}],"ghsa":[{"id":"GHSA-rjg7-v496-w6mx","title":"NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model...","description":"NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.","status":"published","published":"2026-07-14T21:32:21Z","modified":"2026-07-14T21:32:29Z","cvss":[{"version":"3.1","score":8.4,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T15:09:31.957545Z"}],"nvd":[{"id":"CVE-2026-24233","description":"NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.","status":"published","published":"2026-07-14T21:16:44.187Z","modified":"2026-10-24T21:10:00.13Z","cvss":[{"version":"3.1","score":8.4,"vector":"CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","level":"high","assessor":"secondary"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:12:29.879716Z"}]}}