1063 vulnerabilities classified as CWE-119 (内存缓冲区边界内操作的限制不恰当). AI Chinese analysis included.
| CVE ID | Title | CVSS | Severity | Published |
|---|---|---|---|---|
| CVE-2023-33124 | Siemens JT2Go 缓冲区错误漏洞 — JT2Go | 7.8 | High | 2023-06-13 |
| CVE-2023-34341 | BMC AMI 缓冲区错误漏洞 — MegaRAC_SPx | 7.2 | High | 2023-06-12 |
| CVE-2023-21628 | Buffer Copy Without Checking Size of Input (`Classic Buffer Overflow`) in WLAN HAL — Snapdragon | 8.4 | High | 2023-06-06 |
| CVE-2022-33267 | Improper restriction of operations within the bounds of memory buffer in Linux — Snapdragon | 6.7 | Medium | 2023-06-06 |
| CVE-2023-27285 | IBM Aspera buffer overflow — Aspera Connect | 8.4 | High | 2023-06-04 |
| CVE-2023-2977 | OpenSC 缓冲区错误漏洞 — OpenSC | 6.8 | - | 2023-06-01 |
| CVE-2023-33975 | RIOT-OS vulnerable to Out of Bounds Write in _rbuf_add — RIOT | 9.8 | Critical | 2023-05-30 |
| CVE-2023-24817 | RIOT-OS vulnerable to Out of Bounds write in routing with SRH — RIOT | 7.5 | High | 2023-05-30 |
| CVE-2023-2970 | MindSpore json_helper.cc UpdateArray memory corruption — MindSpore | 3.5 | Low | 2023-05-30 |
| CVE-2023-2873 | Twister Antivirus IoControlCode filppd.sys 0x80800043 memory corruption — Antivirus | 5.3 | Medium | 2023-05-24 |
| CVE-2023-30774 | LibTIFF 缓冲区错误漏洞 — libtiff | 9.8 | - | 2023-05-19 |
| CVE-2023-30775 | LibTIFF 缓冲区错误漏洞 — libtiff | 8.8 | - | 2023-05-19 |
| CVE-2023-1972 | GNU Binutils 缓冲区错误漏洞 — binutils | 5.5 | - | 2023-05-17 |
| CVE-2022-47393 | CODESYS: Multiple products prone to improperly restricted memory operations — CODESYS Control RTE (SL) | 6.5 | Medium | 2023-05-15 |
| CVE-2023-1729 | Libraw 缓冲区错误漏洞 — LibRaw | 5.5 | - | 2023-05-15 |
| CVE-2023-30986 | Siemens Solid Edge 缓冲区错误漏洞 — Solid Edge SE2023 | 7.8 | High | 2023-05-09 |
| CVE-2023-26285 | IBM MQ denial of service — MQ | 5.9 | Medium | 2023-05-05 |
| CVE-2022-25713 | Improper Restriction of Operations within the Bounds of a Memory Buffer in Automotive — Snapdragon | 7.8 | High | 2023-05-02 |
| CVE-2023-25509 | NVIDIA DGX-1 缓冲区错误漏洞 — NVIDIA DGX servers | 6.0 | Medium | 2023-04-22 |
| CVE-2023-0206 | NVIDIA DGX 安全漏洞 — NVIDIA DGX servers | 7.5 | High | 2023-04-22 |
| CVE-2023-0202 | NVIDIA DGX 安全漏洞 — NVIDIA DGX servers | 7.5 | High | 2023-04-22 |
| CVE-2021-33797 | Artifex Software Artifex MuJS 输入验证错误漏洞 — mujs | 9.8 | - | 2023-04-17 |
| CVE-2023-1579 | GNU Binutils 缓冲区错误漏洞 — binutils | 7.8 | - | 2023-04-03 |
| CVE-2023-0198 | NVIDIA GPU Display Driver for Linux 缓冲区错误漏洞 — vGPU software (guest driver - Linux), vGPU software (Virtual GPU Manager - Citrix Hypervisor, VMware vSphere, Red Hat Enterprise Linux KVM), , NVIDIA Cloud Gaming (guest driver - Linux), NVIDIA Cloud Gaming (Virtual GPU Manager - Red Hat Enterprise Linux KVM) | 6.6 | Medium | 2023-04-01 |
| CVE-2023-0191 | 多款NVIDIA产品 缓冲区错误漏洞 — vGPU software (guest driver - Windows), vGPU software (guest driver - Linux), vGPU software (Virtual GPU Manager - Citrix Hypervisor, VMware vSphere, Red Hat Enterprise Linux KVM), NVIDIA Cloud Gaming (guest driver - Windows), NVIDIA Cloud Gaming (guest driver - Linux), NVIDIA Cloud Gaming (Virtual GPU Manager - Red Hat Enterprise Linux KVM) | 7.1 | High | 2023-04-01 |
| CVE-2023-0188 | 多款NVIDIA产品 缓冲区错误漏洞 — vGPU software (guest driver - Windows), vGPU software (guest driver - Linux), vGPU software (Virtual GPU Manager - Citrix Hypervisor, VMware vSphere, Red Hat Enterprise Linux KVM), NVIDIA Cloud Gaming (guest driver - Windows), NVIDIA Cloud Gaming (guest driver - Linux), NVIDIA Cloud Gaming (Virtual GPU Manager - Red Hat Enterprise Linux KVM) | 5.5 | Medium | 2023-04-01 |
| CVE-2023-1679 | DriverGenius IOCTL mydrivers64.sys 0x9C40A108 memory corruption — DriverGenius | 5.3 | Medium | 2023-03-28 |
| CVE-2023-1678 | DriverGenius IOCTL mydrivers64.sys 0x9C40A0E0 memory corruption — DriverGenius | 5.3 | Medium | 2023-03-28 |
| CVE-2023-1676 | DriverGenius IOCTL mydrivers64.sys 0x9C402088 memory corruption — DriverGenius | 7.8 | High | 2023-03-28 |
| CVE-2023-27286 | IBM Aspera code execution — Aspera | 8.4 | High | 2023-03-28 |
Vulnerabilities classified as CWE-119 (内存缓冲区边界内操作的限制不恰当) represent 1063 CVEs. The CWE taxonomy describes the weakness; review individual CVEs for product-specific impact.