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.

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available.

  - 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 Nessus relies on the presence of the package as reported by the vendor.

The version of NumPy installed on the remote host is prior to 1.19. It is, therefore, affected by a   Buffer overflow vulnerability 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. The vendor   does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged   user (or internally).

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

The remote SUSE Linux SLES15 / SLES_SAP15 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2022:0134-3 advisory.

  - ** DISPUTED ** 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. (CVE-2021-33430)

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

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

  - ** 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 packages installed, the EulerOS installation on the remote host is affected by the following vulnerabilities :

  - ** 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 SUSE Linux SLED15 / SLED_SAP15 / SLES15 / SLES_SAP15 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2022:1064-1 advisory.

  - ** DISPUTED ** 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. (CVE-2021-33430)

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

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

    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.(CVE-2021-41496)

Tenable has extracted the preceding description block directly from the EulerOS Virtualization numpy security advisory.

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

ID	名前	製品	ファミリー	公開日	更新日	深刻度
170505	EulerOS Virtualization 2.9.1 : numpy (EulerOS-SA-2022-1610)	Nessus	Huawei Local Security Checks	2023/1/24	2023/9/6	medium
224156	Linux Distros Unpatched Vulnerability : CVE-2021-41496	Nessus	Misc.	2025/3/5	2025/9/14	medium
210054	NumPy < 1.19 DoS	Nessus	Artificial Intelligence	2024/11/1	2025/7/15	medium
166195	SUSE SLES15 Security Update : python-numpy (SUSE-SU-2022:0134-3)	Nessus	SuSE Local Security Checks	2022/10/18	2023/7/13	medium
165977	EulerOS Virtualization 3.0.6.0 : numpy (EulerOS-SA-2022-2575)	Nessus	Huawei Local Security Checks	2022/10/10	2023/10/10	medium
159091	EulerOS 2.0 SP5 : numpy (EulerOS-SA-2022-1334)	Nessus	Huawei Local Security Checks	2022/3/21	2023/11/3	medium
159253	EulerOS 2.0 SP8 : numpy (EulerOS-SA-2022-1357)	Nessus	Huawei Local Security Checks	2022/3/28	2023/11/3	medium
159389	SUSE SLED15 / SLES15 Security Update : python2-numpy (SUSE-SU-2022:1064-1)	Nessus	SuSE Local Security Checks	2022/4/1	2023/7/14	medium
161562	EulerOS 2.0 SP3 : numpy (EulerOS-SA-2022-1749)	Nessus	Huawei Local Security Checks	2022/5/26	2023/10/26	medium
163409	EulerOS Virtualization 3.0.2.0 : numpy (EulerOS-SA-2022-1684)	Nessus	Huawei Local Security Checks	2022/7/22	2025/1/23	medium

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