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.

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.
    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 SLES15 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2022:0134-2 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 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 remote SUSE Linux SLED12 / SLES12 / SLES_SAP12 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2022:0118-1 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 ** 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 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.

According to the versions of the numpy package 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 Redhat Enterprise Linux 8 host has packages installed that are affected by multiple vulnerabilities as referenced in the RHSA-2022:1000 advisory.

    A fast multidimensional array facility for Python

    Security Fix(es):

    * buffer overflow in the PyArray_NewFromDescr_int() in ctors.c     (CVE-2021-33430)

    * buffer overflow in the array_from_pyobj() in fortranobject.c     (CVE-2021-41496)

    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 these issues but has instead relied only on the application's self-reported version number.

The remote SUSE Linux SUSE15 host has packages installed that are affected by multiple vulnerabilities as referenced in the openSUSE-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.

The remote SUSE Linux SLES15 / SLES_SAP15 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2022:1064-2 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.

ID	名称	产品	系列	发布时间	最近更新时间	严重程度
163409	EulerOS Virtualization 3.0.2.0 : numpy (EulerOS-SA-2022-1684)	Nessus	Huawei Local Security Checks	2022/7/22	2025/1/23	medium
169669	EulerOS Virtualization 3.0.2.6 : numpy (EulerOS-SA-2023-1072)	Nessus	Huawei Local Security Checks	2023/1/6	2024/1/16	medium
158191	SUSE SLES15 Security Update : python-numpy (SUSE-SU-2022:0134-2)	Nessus	SuSE Local Security Checks	2022/2/19	2023/7/13	medium
163132	EulerOS Virtualization 2.10.0 : numpy (EulerOS-SA-2022-2030)	Nessus	Huawei Local Security Checks	2022/7/14	2023/10/18	medium
156816	SUSE SLED12 / SLES12 Security Update : python-numpy (SUSE-SU-2022:0118-1)	Nessus	SuSE Local Security Checks	2022/1/19	2023/7/14	medium
159801	EulerOS 2.0 SP9 : numpy (EulerOS-SA-2022-1432)	Nessus	Huawei Local Security Checks	2022/4/18	2023/11/1	medium
159973	EulerOS 2.0 SP10 : numpy (EulerOS-SA-2022-1510)	Nessus	Huawei Local Security Checks	2022/4/20	2023/11/1	medium
159200	RHEL 8 : Red Hat OpenStack Platform 16.2 (numpy) (RHSA-2022:1000)	Nessus	Red Hat Local Security Checks	2022/3/24	2024/11/7	medium
159392	openSUSE 15 Security Update : python2-numpy (openSUSE-SU-2022:1064-1)	Nessus	SuSE Local Security Checks	2022/4/1	2023/11/3	medium
164965	SUSE SLES15 Security Update : python2-numpy (SUSE-SU-2022:1064-2)	Nessus	SuSE Local Security Checks	2022/9/13	2023/7/14	medium

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