Filtered by CWE-197
Total 33 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2023-36710 1 Microsoft 12 Windows 10 1507, Windows 10 1607, Windows 10 1809 and 9 more 2025-04-14 7.8 High
Windows Media Foundation Core Remote Code Execution Vulnerability
CVE-2022-34676 5 Citrix, Linux, Nvidia and 2 more 6 Hypervisor, Linux Kernel, Cloud Gaming and 3 more 2025-04-11 7.1 High
NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer handler, where an out-of-bounds read may lead to denial of service, information disclosure, or data tampering.
CVE-2022-34670 6 Citrix, Debian, Linux and 3 more 13 Hypervisor, Debian Linux, Linux Kernel and 10 more 2025-04-11 7.8 High
NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer handler, where an unprivileged regular user can cause truncation errors when casting a primitive to a primitive of smaller size causes data to be lost in the conversion, which may lead to denial of service or information disclosure.
CVE-2022-34680 6 Citrix, Debian, Linux and 3 more 13 Hypervisor, Debian Linux, Linux Kernel and 10 more 2025-04-10 5.5 Medium
NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer handler, where an integer truncation can lead to an out-of-bounds read, which may lead to denial of service.
CVE-2022-42475 1 Fortinet 23 Fim-7901e, Fim-7904e, Fim-7910e and 20 more 2025-02-24 9.3 Critical
A heap-based buffer overflow vulnerability [CWE-122] in FortiOS SSL-VPN 7.2.0 through 7.2.2, 7.0.0 through 7.0.8, 6.4.0 through 6.4.10, 6.2.0 through 6.2.11, 6.0.15 and earlier and FortiProxy SSL-VPN 7.2.0 through 7.2.1, 7.0.7 and earlier may allow a remote unauthenticated attacker to execute arbitrary code or commands via specifically crafted requests.
CVE-2023-32143 1 Dlink 1 Dap-1360 2025-02-05 8.8 High
D-Link DAP-1360 webupg UPGCGI_CheckAuth Numeric Truncation Remote Code Execution Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of D-Link DAP-1360 routers. Authentication is not required to exploit this vulnerability. The specific flaw exists within the handling of requests to the /cgi-bin/webupg endpoint. The issue results from the lack of proper validation of user-supplied data, which can result in an integer overflow before allocating a buffer. An attacker can leverage this vulnerability to execute code in the context of root. . Was ZDI-CAN-18423.
CVE-2024-49018 1 Microsoft 3 Sql Server 2016, Sql Server 2017, Sql Server 2019 2025-01-30 8.8 High
SQL Server Native Client Remote Code Execution Vulnerability
CVE-2024-43639 1 Microsoft 6 Windows Server 2012, Windows Server 2016, Windows Server 2019 and 3 more 2025-01-30 9.8 Critical
Windows KDC Proxy Remote Code Execution Vulnerability
CVE-2024-43519 1 Microsoft 15 Windows 10 1507, Windows 10 1607, Windows 10 1809 and 12 more 2025-01-29 8.8 High
Microsoft WDAC OLE DB provider for SQL Server Remote Code Execution Vulnerability
CVE-2023-35328 1 Microsoft 12 Windows 10 1507, Windows 10 1607, Windows 10 1809 and 9 more 2025-01-01 7.8 High
Windows Transaction Manager Elevation of Privilege Vulnerability
CVE-2024-37337 1 Microsoft 5 Sql 2016 Azure Connect Feature Pack, Sql Server 2016, Sql Server 2017 and 2 more 2024-12-31 7.1 High
Microsoft SQL Server Native Scoring Information Disclosure Vulnerability
CVE-2023-36641 1 Fortinet 2 Fortios, Fortiproxy 2024-11-21 6.2 Medium
A numeric truncation error in Fortinet FortiProxy version 7.2.0 through 7.2.4, FortiProxy version 7.0.0 through 7.0.10, FortiProxy 2.0 all versions, FortiProxy 1.2 all versions, FortiProxy 1.1, all versions, FortiProxy 1.0 all versions, FortiOS version 7.4.0, FortiOS version 7.2.0 through 7.2.5, FortiOS version 7.0.0 through 7.0.12, FortiOS 6.4 all versions, FortiOS 6.2 all versions, FortiOS 6.0 all versions allows attacker to denial of service via specifically crafted HTTP requests.
CVE-2020-15202 2 Google, Opensuse 2 Tensorflow, Leap 2024-11-21 9 Critical
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.