| Reporter | Title | Published | Views | Family All 80 |
|---|---|---|---|---|
| Security Bulletin: IBM Watson Speech Services Cartridge for IBM Cloud Pak for Data is vulnerable to a denial of service in NumPy. (CVE-2021-33430). | 12 Jan 202321:59 | – | ibm | |
| CVE-2021-33430 | 17 Dec 202122:37 | – | circl | |
| NumPy 缓冲区错误漏洞 | 17 Dec 202100:00 | – | cnnvd | |
| NumPy buffer overflow vulnerability | 21 Dec 202100:00 | – | cnvd | |
| CVE-2021-33430 | 17 Dec 202118:36 | – | cve | |
| CVE-2021-33430 | 17 Dec 202118:36 | – | cvelist | |
| CVE-2021-33430 | 17 Dec 202118:36 | – | debiancve | |
| NumPy Buffer Overflow (Disputed) | 7 Jan 202200:09 | – | github | |
| Updated python-numpy packages fix security vulnerability | 25 Jan 202212:13 | – | mageia | |
| CVE-2021-33430 | 17 Dec 202119:15 | – | nvd |
#%NASL_MIN_LEVEL 80900
##
# Tenable, Inc.
##
include('compat.inc');
if (description)
{
script_id(210056);
script_version("1.4");
script_set_attribute(attribute:"plugin_modification_date", value:"2025/11/10");
script_cve_id("CVE-2021-33430");
script_name(english:"NumPy 1.9.x < 1.21.0 Buffer Overflow");
script_set_attribute(attribute:"synopsis", value:
"The remote host is affected by a vulnerability.");
script_set_attribute(attribute:"description", value:
"The version of NumPy installed on the remote host is prior to 1.21.0. It is, therefore, affected by a
Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when
specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a
Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a
user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke
denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated
structured dtypes), which is very unlikely to be available to an unprivileged user
Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.");
script_set_attribute(attribute:"see_also", value:"https://github.com/advisories/GHSA-6p56-wp2h-9hxr");
script_set_attribute(attribute:"see_also", value:"https://github.com/numpy/numpy/issues/18939");
script_set_attribute(attribute:"solution", value:
"Upgrade to NumPy version 1.21.0 or later.");
script_set_attribute(attribute:"agent", value:"all");
script_set_cvss_base_vector("CVSS2#AV:N/AC:M/Au:S/C:N/I:N/A:P");
script_set_cvss_temporal_vector("CVSS2#E:POC/RL:OF/RC:C");
script_set_cvss3_base_vector("CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H");
script_set_cvss3_temporal_vector("CVSS:3.0/E:P/RL:O/RC:C");
script_set_attribute(attribute:"cvss_score_source", value:"CVE-2021-33430");
script_set_attribute(attribute:"exploitability_ease", value:"Exploits are available");
script_set_attribute(attribute:"exploit_available", value:"true");
script_cwe_id(120);
script_set_attribute(attribute:"vuln_publication_date", value:"2021/12/17");
script_set_attribute(attribute:"patch_publication_date", value:"2021/12/17");
script_set_attribute(attribute:"plugin_publication_date", value:"2024/11/01");
script_set_attribute(attribute:"plugin_type", value:"local");
script_set_attribute(attribute:"thorough_tests", value:"true");
script_set_attribute(attribute:"cpe", value:"cpe:/a:numpy:numpy");
script_end_attributes();
script_category(ACT_GATHER_INFO);
script_family(english:"Artificial Intelligence");
script_copyright(english:"This script is Copyright (C) 2024-2025 and is owned by Tenable, Inc. or an Affiliate thereof.");
script_dependencies("numpy_detect.nbin");
script_require_keys("installed_sw/NumPy");
exit(0);
}
include('vcf.inc');
var app_info = vcf::get_app_info(app:'NumPy');
vcf::check_all_backporting(app_info:app_info);
var constraints = [{ 'min_version':'1.9.0', 'fixed_version':'1.21.0' }];
vcf::check_version_and_report(app_info:app_info, constraints:constraints, severity:SECURITY_NOTE);
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