NVIDIA CUDA Toolkit < 13.0 Multiple Vulnerabilities

#%NASL_MIN_LEVEL 80900
##
# (C) Tenable, Inc.
##

include('compat.inc');

if (description)
{
  script_id(265968);
  script_version("1.2");
  script_set_attribute(attribute:"plugin_modification_date", value:"2026/02/24");

  script_cve_id(
    "CVE-2025-23248",
    "CVE-2025-23255",
    "CVE-2025-23271",
    "CVE-2025-23273",
    "CVE-2025-23274",
    "CVE-2025-23275",
    "CVE-2025-23308",
    "CVE-2025-23338",
    "CVE-2025-23339",
    "CVE-2025-23340",
    "CVE-2025-23346"
  );
  script_xref(name:"IAVB", value:"2025-B-0160-S");

  script_name(english:"NVIDIA CUDA Toolkit < 13.0 Multiple Vulnerabilities");

  script_set_attribute(attribute:"synopsis", value:
"The remote host is missing one or more security updates.");
  script_set_attribute(attribute:"description", value:
"The version of NVIDIA CUDA Toolkit installed on the remote host is prior to 13.0. It is, therefore, affected by
multiple vulnerabilities, including the following:

  - NVIDIA nvJPEG contains a vulnerability in jpeg encoding where a user may cause an out-of-bounds read by
    providing a maliciously crafted input image with dimensions that cause integer overflows in array index
    calculations. A successful exploit of this vulnerability may lead to denial of service. (CVE-2025-23274)

  - NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvJPEG where a local authenticated user
    may cause a GPU out-of-bounds write by providing certain image dimensions. A successful exploit of this
    vulnerability may lead to denial of service and information disclosure. (CVE-2025-23275)

  - NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvdisasm where a user may cause an
    out-of-bounds write by running nvdisasm on a malicious ELF file. A successful exploit of this
    vulnerability may lead to denial of service. (CVE-2025-23338)

Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version
number.");
  script_set_attribute(attribute:"see_also", value:"https://nvidia.custhelp.com/app/answers/detail/a_id/5661");
  script_set_attribute(attribute:"solution", value:
"Upgrade to NVIDIA CUDA Toolkit version 13.0 or later.");
  script_set_attribute(attribute:"agent", value:"windows");
  script_set_cvss_base_vector("CVSS2#AV:L/AC:H/Au:S/C:P/I:P/A:P");
  script_set_cvss3_base_vector("CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:L");
  script_set_attribute(attribute:"cvss_score_source", value:"CVE-2025-23274");
  script_set_attribute(attribute:"cvss3_score_source", value:"CVE-2025-23274");

  script_set_attribute(attribute:"vuln_publication_date", value:"2025/09/23");
  script_set_attribute(attribute:"patch_publication_date", value:"2025/09/23");
  script_set_attribute(attribute:"plugin_publication_date", value:"2025/09/26");

  script_set_attribute(attribute:"plugin_type", value:"local");
  script_set_attribute(attribute:"cpe", value:"cpe:/a:nvidia:cuda_toolkit");
  script_set_attribute(attribute:"stig_severity", value:"II");
  script_end_attributes();

  script_category(ACT_GATHER_INFO);
  script_family(english:"Misc.");

  script_copyright(english:"This script is Copyright (C) 2025-2026 and is owned by Tenable, Inc. or an Affiliate thereof.");

  script_dependencies("nvidia_cuda_toolkit_win_installed.nbin");
  script_require_keys("installed_sw/NVIDIA CUDA Toolkit");

  exit(0);
}

include('vdf.inc');

# @tvdl-content
var vuln_data = {
  'metadata': {'spec_version': '1.0'},
  'checks': [
    {
      'product': {'name': 'NVIDIA CUDA Toolkit', 'type': 'app'},
      'check_algorithm': 'default',
      'constraints': [
        {'fixed_version' : '13.0.48', 'fixed_display' : '13.0.48 (13.0)'}
      ]
    }
  ]
};

var result = vdf::check_and_report(vuln_data:vuln_data, severity:SECURITY_NOTE);
vdf::handle_check_and_report_errors(vdf_result:result);