Total
28 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2024-21429 | 2024-04-11 | N/A | 6.8 MEDIUM | ||
| Windows USB Hub Driver Remote Code Execution Vulnerability | |||||
| CVE-2024-28944 | 2024-04-10 | N/A | 8.8 HIGH | ||
| Microsoft OLE DB Driver for SQL Server Remote Code Execution Vulnerability | |||||
| CVE-2024-29050 | 2024-04-10 | N/A | 8.4 HIGH | ||
| Windows Cryptographic Services Remote Code Execution Vulnerability | |||||
| CVE-2023-36641 | 1 Fortinet | 2 Fortios, Fortiproxy | 2023-11-20 | N/A | 6.5 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-2022-34680 | 6 Citrix, Debian, Linux and 3 more | 13 Hypervisor, Debian Linux, Linux Kernel and 10 more | 2023-10-19 | N/A | 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-2022-34676 | 5 Citrix, Linux, Nvidia and 2 more | 6 Hypervisor, Linux Kernel, Cloud Gaming and 3 more | 2023-10-19 | N/A | 7.8 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 | 2023-10-15 | N/A | 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-2020-15202 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 6.8 MEDIUM | 9.0 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. | |||||