The version of FreeBSD installed on the remote host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the b51cfaea-e919-11ec-9fba-080027240888 advisory.

  - ** DISPUTED ** Null Pointer Dereference vulnerability exists in numpy.sort in NumPy < and 1.19 in the     PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS     attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can     only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged.
    Further, it should be practically impossible to construct an attack which can target the memory exhaustion     to occur at exactly this place. (CVE-2021-41495)

Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

According to the versions of the numpy packages installed, the EulerOS installation on the remote host is affected by the following vulnerabilities :

  - ** DISPUTED ** Null Pointer Dereference vulnerability exists in numpy.sort in NumPy < and 1.19 in the     PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS     attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can     only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged.
    Further, it should be practically impossible to construct an attack which can target the memory exhaustion     to occur at exactly this place. (CVE-2021-41495)

Note that Tenable Network Security has extracted the preceding description block directly from the EulerOS security advisory. Tenable has attempted to automatically clean and format it as much as possible without introducing additional issues.

According to the versions of the numpy package installed, the EulerOS Virtualization installation on the remote host is affected by the following vulnerabilities :

  - ** DISPUTED ** Null Pointer Dereference vulnerability exists in numpy.sort in NumPy < and 1.19 in the     PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS     attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can     only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged.
    Further, it should be practically impossible to construct an attack which can target the memory exhaustion     to occur at exactly this place. (CVE-2021-41495)

  - ** DISPUTED ** Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which     allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative     values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be     created by an already privileged user (or internally). (CVE-2021-41496)

Note that Tenable Network Security has extracted the preceding description block directly from the EulerOS security advisory. Tenable has attempted to automatically clean and format it as much as possible without introducing additional issues.

According to the versions of the numpy package installed, the EulerOS installation on the remote host is affected by the following vulnerabilities :

  - ** DISPUTED ** Null Pointer Dereference vulnerability exists in numpy.sort in NumPy < and 1.19 in the     PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS     attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can     only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged.
    Further, it should be practically impossible to construct an attack which can target the memory exhaustion     to occur at exactly this place. (CVE-2021-41495)

  - ** DISPUTED ** Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which     allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative     values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be     created by an already privileged user (or internally). (CVE-2021-41496)

Note that Tenable Network Security has extracted the preceding description block directly from the EulerOS security advisory. Tenable has attempted to automatically clean and format it as much as possible without introducing additional issues.

The remote Redhat Enterprise Linux 8 host has packages installed that are affected by a vulnerability as referenced in the RHSA-2022:8852 advisory.

    A fast multidimensional array facility for Python

    Security Fix(es):

    * NULL pointer dereference in numpy.sort in the PyArray_DescrNew() due     to missing return-value validation (CVE-2021-41495)

    For more details about the security issue(s), including the impact, a CVSS     score, acknowledgments, and other related information, refer to the CVE     page listed in the References section.

Tenable has extracted the preceding description block directly from the Red Hat Enterprise Linux security advisory.

Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

The remote Ubuntu 20.04 LTS / 22.04 LTS host has a package installed that is affected by multiple vulnerabilities as referenced in the USN-5763-1 advisory.

    It was discovered that NumPy did not properly manage memory when specifying arrays of large dimensions. If     a user were tricked into running malicious Python file, an attacker could cause a denial of service. This     issue only affected Ubuntu 20.04 LTS. (CVE-2021-33430)

    It was discovered that NumPy did not properly perform string comparison operations under certain     circumstances. An attacker could possibly use this issue to cause NumPy to crash, resulting in a denial of     service. (CVE-2021-34141)

    It was discovered that NumPy did not properly manage memory under certain circumstances. An attacker could     possibly use this issue to cause NumPy to crash, resulting in a denial of service. (CVE-2021-41495,     CVE-2021-41496)

Tenable has extracted the preceding description block directly from the Ubuntu security advisory.

Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version number.

ID	名称	产品	系列	发布时间	最近更新时间	严重程度
162124	FreeBSD : py-numpy -- Missing return-value validation of the function PyArray_DescrNew (b51cfaea-e919-11ec-9fba-080027240888)	Nessus	FreeBSD Local Security Checks	2022/6/11	2023/10/20	medium
162361	EulerOS 2.0 SP5 : numpy (EulerOS-SA-2022-1906)	Nessus	Huawei Local Security Checks	2022/6/17	2023/10/20	medium
163132	EulerOS Virtualization 2.10.0 : numpy (EulerOS-SA-2022-2030)	Nessus	Huawei Local Security Checks	2022/7/14	2023/10/18	medium
159794	EulerOS 2.0 SP9 : numpy (EulerOS-SA-2022-1453)	Nessus	Huawei Local Security Checks	2022/4/18	2023/11/1	medium
159801	EulerOS 2.0 SP9 : numpy (EulerOS-SA-2022-1432)	Nessus	Huawei Local Security Checks	2022/4/18	2023/11/1	medium
160596	EulerOS Virtualization 2.9.0 : numpy (EulerOS-SA-2022-1633)	Nessus	Huawei Local Security Checks	2022/5/5	2023/10/30	medium
170363	RHEL 8 : Red Hat OpenStack Platform 16.2.4 (numpy) (RHSA-2022:8852)	Nessus	Red Hat Local Security Checks	2023/1/23	2024/11/7	medium
168470	Ubuntu 20.04 LTS / 22.04 LTS : NumPy vulnerabilities (USN-5763-1)	Nessus	Ubuntu Local Security Checks	2022/12/7	2025/9/3	medium

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