The version of AHV installed on the remote host is prior to AHV-11.0. It is, therefore, affected by multiple vulnerabilities as referenced in the NXSA-AHV-11.0 advisory.

  - There exists a vulnerability in SQLite versions before 3.50.2 where the number of aggregate terms could     exceed the number of columns available. This could lead to a memory corruption issue. We recommend     upgrading to version 3.50.2 or above. (CVE-2025-6965)

  - ncurses 6.3 before patch 20220416 has an out-of-bounds read and segmentation violation in convert_strings     in tinfo/read_entry.c in the terminfo library. (CVE-2022-29458)

  - There is a defect in the CPython tarfile module affecting the TarFile extraction and entry enumeration     APIs. The tar implementation would process tar archives with negative offsets without error, resulting in     an infinite loop and deadlock during the parsing of maliciously crafted tar archives. This vulnerability     can be mitigated by including the following patch after importing the tarfile module:
    https://gist.github.com/sethmlarson/1716ac5b82b73dbcbf23ad2eff8b33e1 (CVE-2025-8194)

  - Allows modifying some file metadata (e.g. last modified) with filter=data or file permissions (chmod)     with filter=tar of files outside the extraction directory. You are affected by this vulnerability if     using the tarfile module to extract untrusted tar archives using TarFile.extractall() or TarFile.extract()     using the filter= parameter with a value of data or tar. See the tarfile extraction filters     documentation https://docs.python.org/3/library/tarfile.html#tarfile-extraction-filter for more     information. Only Python versions 3.12 or later are affected by these vulnerabilities, earlier versions     don't include the extraction filter feature. Note that for Python 3.14 or later the default value of     filter= changed from no filtering to `data, so if you are relying on this new default behavior then     your usage is also affected. Note that none of these vulnerabilities significantly affect the installation     of source distributions which are tar archives as source distributions already allow arbitrary code     execution during the build process. However when evaluating source distributions it's important to avoid     installing source distributions with suspicious links. (CVE-2024-12718)

  - Allows the extraction filter to be ignored, allowing symlink targets to point outside the destination     directory, and the modification of some file metadata. You are affected by this vulnerability if using the     tarfile module to extract untrusted tar archives using TarFile.extractall() or TarFile.extract() using the     filter= parameter with a value of data or tar. See the tarfile extraction filters documentation     https://docs.python.org/3/library/tarfile.html#tarfile-extraction-filter for more information. Note that     for Python 3.14 or later the default value of filter= changed from no filtering to `data, so if you     are relying on this new default behavior then your usage is also affected. Note that none of these     vulnerabilities significantly affect the installation of source distributions which are tar archives as     source distributions already allow arbitrary code execution during the build process. However when     evaluating source distributions it's important to avoid installing source distributions with suspicious     links. (CVE-2025-4138, CVE-2025-4330)

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

The version of AOS installed on the remote host is prior to 7.3.0.5. It is, therefore, affected by multiple vulnerabilities as referenced in the NXSA-AOS-7.3.0.5 advisory.

  - inftrees.c in zlib 1.2.8 might allow context-dependent attackers to have unspecified impact by leveraging     improper pointer arithmetic. (CVE-2016-9840)

  - Sudo before 1.9.17p1, when used with a sudoers file that specifies a host that is neither the current host     nor ALL, allows listed users to execute commands on unintended machines. (CVE-2025-32462)

  - A flaw was found in linux-pam. The module pam_namespace may use access user-controlled paths without     proper protection, allowing local users to elevate their privileges to root via multiple symlink attacks     and race conditions. (CVE-2025-6020)

  - Allows modifying some file metadata (e.g. last modified) with filter=data or file permissions (chmod)     with filter=tar of files outside the extraction directory. You are affected by this vulnerability if     using the tarfile module to extract untrusted tar archives using TarFile.extractall() or TarFile.extract()     using the filter= parameter with a value of data or tar. See the tarfile extraction filters     documentation https://docs.python.org/3/library/tarfile.html#tarfile-extraction-filter for more     information. Only Python versions 3.12 or later are affected by these vulnerabilities, earlier versions     don't include the extraction filter feature. Note that for Python 3.14 or later the default value of     filter= changed from no filtering to `data, so if you are relying on this new default behavior then     your usage is also affected. Note that none of these vulnerabilities significantly affect the installation     of source distributions which are tar archives as source distributions already allow arbitrary code     execution during the build process. However when evaluating source distributions it's important to avoid     installing source distributions with suspicious links. (CVE-2024-12718)

  - Allows the extraction filter to be ignored, allowing symlink targets to point outside the destination     directory, and the modification of some file metadata. You are affected by this vulnerability if using the     tarfile module to extract untrusted tar archives using TarFile.extractall() or TarFile.extract() using the     filter= parameter with a value of data or tar. See the tarfile extraction filters documentation     https://docs.python.org/3/library/tarfile.html#tarfile-extraction-filter for more information. Note that     for Python 3.14 or later the default value of filter= changed from no filtering to `data, so if you     are relying on this new default behavior then your usage is also affected. Note that none of these     vulnerabilities significantly affect the installation of source distributions which are tar archives as     source distributions already allow arbitrary code execution during the build process. However when     evaluating source distributions it's important to avoid installing source distributions with suspicious     links. (CVE-2025-4138, CVE-2025-4330)

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

The version of AOS installed on the remote host is prior to 7.3.1. It is, therefore, affected by multiple vulnerabilities as referenced in the NXSA-AOS-7.3.1 advisory.

  - LZ4 before 1.9.2 has a heap-based buffer overflow in LZ4_write32 (related to LZ4_compress_destSize),     affecting applications that call LZ4_compress_fast with a large input. (This issue can also lead to data     corruption.) NOTE: the vendor states only a few specific / uncommon usages of the API are at risk.
    (CVE-2019-17543)

  - There exists a vulnerability in SQLite versions before 3.50.2 where the number of aggregate terms could     exceed the number of columns available. This could lead to a memory corruption issue. We recommend     upgrading to version 3.50.2 or above. (CVE-2025-6965)

  - Allows modifying some file metadata (e.g. last modified) with filter=data or file permissions (chmod)     with filter=tar of files outside the extraction directory. You are affected by this vulnerability if     using the tarfile module to extract untrusted tar archives using TarFile.extractall() or TarFile.extract()     using the filter= parameter with a value of data or tar. See the tarfile extraction filters     documentation https://docs.python.org/3/library/tarfile.html#tarfile-extraction-filter for more     information. Only Python versions 3.12 or later are affected by these vulnerabilities, earlier versions     don't include the extraction filter feature. Note that for Python 3.14 or later the default value of     filter= changed from no filtering to `data, so if you are relying on this new default behavior then     your usage is also affected. Note that none of these vulnerabilities significantly affect the installation     of source distributions which are tar archives as source distributions already allow arbitrary code     execution during the build process. However when evaluating source distributions it's important to avoid     installing source distributions with suspicious links. (CVE-2024-12718)

  - Allows the extraction filter to be ignored, allowing symlink targets to point outside the destination     directory, and the modification of some file metadata. You are affected by this vulnerability if using the     tarfile module to extract untrusted tar archives using TarFile.extractall() or TarFile.extract() using the     filter= parameter with a value of data or tar. See the tarfile extraction filters documentation     https://docs.python.org/3/library/tarfile.html#tarfile-extraction-filter for more information. Note that     for Python 3.14 or later the default value of filter= changed from no filtering to `data, so if you     are relying on this new default behavior then your usage is also affected. Note that none of these     vulnerabilities significantly affect the installation of source distributions which are tar archives as     source distributions already allow arbitrary code execution during the build process. However when     evaluating source distributions it's important to avoid installing source distributions with suspicious     links. (CVE-2025-4138, CVE-2025-4330)

  - When using a TarFile.errorlevel = 0 and extracting with a filter the documented behavior is that any     filtered members would be skipped and not extracted. However the actual behavior of TarFile.errorlevel = 0     in affected versions is that the member would still be extracted and not skipped. (CVE-2025-4435)

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

The version of AHV installed on the remote host is prior to AHV-10.3.1. It is, therefore, affected by multiple vulnerabilities as referenced in the NXSA-AHV-10.3.1 advisory.

  - There exists a vulnerability in SQLite versions before 3.50.2 where the number of aggregate terms could     exceed the number of columns available. This could lead to a memory corruption issue. We recommend     upgrading to version 3.50.2 or above. (CVE-2025-6965)

  - LZ4 before 1.9.2 has a heap-based buffer overflow in LZ4_write32 (related to LZ4_compress_destSize),     affecting applications that call LZ4_compress_fast with a large input. (This issue can also lead to data     corruption.) NOTE: the vendor states only a few specific / uncommon usages of the API are at risk.
    (CVE-2019-17543)

  - A use-after-free vulnerability was found in libxml2. This issue occurs when parsing XPath elements under     certain circumstances when the XML schematron has the <sch:name path=.../> schema elements. This flaw     allows a malicious actor to craft a malicious XML document used as input for libxml, resulting in the     program's crash using libxml or other possible undefined behaviors. (CVE-2025-49794)

  - A vulnerability was found in libxml2. Processing certain sch:name elements from the input XML file can     trigger a memory corruption issue. This flaw allows an attacker to craft a malicious XML input file that     can lead libxml to crash, resulting in a denial of service or other possible undefined behavior due to     sensitive data being corrupted in memory. (CVE-2025-49796)

  - A flaw was found in libxml2's xmlBuildQName function, where integer overflows in buffer size calculations     can lead to a stack-based buffer overflow. This issue can result in memory corruption or a denial of     service when processing crafted input. (CVE-2025-6021)

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
278723	Nutanix AHV : Multiple Vulnerabilities (NXSA-AHV-11.0)	Nessus	Misc.	2025/12/15	2026/4/29	high
258038	Nutanix AOS : Multiple Vulnerabilities (NXSA-AOS-7.3.0.5)	Nessus	Misc.	2025/8/27	2025/8/27	critical
269907	Nutanix AOS : Multiple Vulnerabilities (NXSA-AOS-7.3.1)	Nessus	Misc.	2025/10/9	2026/4/2	high
269975	Nutanix AHV : Multiple Vulnerabilities (NXSA-AHV-10.3.1)	Nessus	Misc.	2025/10/10	2025/10/10	high

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