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

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.

The remote Redhat Enterprise Linux 8 host has one or more packages installed that are affected by multiple vulnerabilities that have been acknowledged by the vendor but will not be patched.

  - numpy: incomplete string comparison in the numpy.core component (CVE-2021-34141)

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

  - 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)

Note that Nessus has not tested for these issues but has instead relied on the package manager's report that the package is installed.

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.

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.

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.

The remote SUSE Linux SLES15 / SLES_SAP15 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2022:2441-1 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 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 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.

The remote Redhat Enterprise Linux 8 host has packages installed that are affected by multiple vulnerabilities as referenced in the RHSA-2022:0987 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 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 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.

The remote SUSE Linux SLES12 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2022:0206-1 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.

The remote SUSE Linux SUSE15 host has packages installed that are affected by multiple vulnerabilities as referenced in the openSUSE-SU-2022:0134-1 advisory.

  - 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. (CVE-2021-33430)

  - 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)

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 SLED15 / SLED_SAP15 / SLES15 / SLES_SAP15 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2022:0134-1 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.

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.

ID	Name	Product	Family	Severity
210056	NumPy 1.9.x < 1.21.0 Buffer Overflow	Nessus	Artificial Intelligence	medium
199737	RHEL 8 : numpy (Unpatched Vulnerability)	Nessus	Red Hat Local Security Checks	medium
168470	Ubuntu 20.04 LTS / 22.04 LTS : NumPy vulnerabilities (USN-5763-1)	Nessus	Ubuntu Local Security Checks	medium
166195	SUSE SLES15 Security Update : python-numpy (SUSE-SU-2022:0134-3)	Nessus	SuSE Local Security Checks	medium
164965	SUSE SLES15 Security Update : python2-numpy (SUSE-SU-2022:1064-2)	Nessus	SuSE Local Security Checks	medium
163389	SUSE SLES15 Security Update : python2-numpy (SUSE-SU-2022:2441-1)	Nessus	SuSE Local Security Checks	medium
159392	openSUSE 15 Security Update : python2-numpy (openSUSE-SU-2022:1064-1)	Nessus	SuSE Local Security Checks	medium
159389	SUSE SLED15 / SLES15 Security Update : python2-numpy (SUSE-SU-2022:1064-1)	Nessus	SuSE Local Security Checks	medium
159213	RHEL 8 : Red Hat OpenStack Platform 16.1 (numpy) (RHSA-2022:0987)	Nessus	Red Hat Local Security Checks	medium
159200	RHEL 8 : Red Hat OpenStack Platform 16.2 (numpy) (RHSA-2022:1000)	Nessus	Red Hat Local Security Checks	medium
158191	SUSE SLES15 Security Update : python-numpy (SUSE-SU-2022:0134-2)	Nessus	SuSE Local Security Checks	medium
157202	SUSE SLES12 Security Update : python-numpy (SUSE-SU-2022:0206-1)	Nessus	SuSE Local Security Checks	medium
156940	openSUSE 15 Security Update : python-numpy (openSUSE-SU-2022:0134-1)	Nessus	SuSE Local Security Checks	medium
156922	SUSE SLED15 / SLES15 Security Update : python-numpy (SUSE-SU-2022:0134-1)	Nessus	SuSE Local Security Checks	medium
156816	SUSE SLED12 / SLES12 Security Update : python-numpy (SUSE-SU-2022:0118-1)	Nessus	SuSE Local Security Checks	medium

Detections

Analytics

CVE-2021-33430

medium

Tenable Plugins

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