| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Improper syscall input validation in ASP (AMD Secure Processor) may force the kernel into reading syscall parameter values from its own memory space allowing an attacker to infer the contents of the kernel memory leading to potential information disclosure. |
| Incorrect default permissions in AMD StoreMI™ could allow an attacker to achieve privilege escalation potentially resulting in arbitrary code execution. |
| Inadequate lock protection within Xilinx Run time may allow a local attacker to trigger a Use-After-Free condition potentially resulting in loss of confidentiality or availability |
| Improper input validation in the SMM communications buffer could allow a privileged attacker to perform an out of bounds read or write to SMRAM potentially resulting in loss of confidentiality or integrity. |
| Improper bound check within AMD CPU microcode can allow a malicious guest to write to host memory, potentially resulting in loss of integrity. |
| When SMT is enabled, certain AMD processors may speculatively execute instructions using a target
from the sibling thread after an SMT mode switch potentially resulting in information disclosure. |
| A Time-of-check time-of-use (TOCTOU) race condition in the AMD Secure Processor (ASP) could allow an attacker to modify External Global Memory Interconnect Trusted Agent (XGMI TA) commands as they are processed potentially resulting in loss of confidentiality, integrity, or availability. |
| A Time-of-check time-of-use (TOCTOU) race condition in the AMD Secure Processor (ASP) could allow an attacker to corrupt memory resulting in loss of integrity, confidentiality, or availability. |
| A DLL hijacking vulnerability in the AMD Manageability API could allow an attacker to achieve privilege escalation, potentially resulting in arbitrary code execution. |
| Incorrect default permissions in the AMD Manageability API could allow an attacker to achieve privilege escalation, potentially resulting in arbitrary code execution. |
| Failure to validate inputs in SMM may allow an attacker to create a mishandled error leaving the DRTM UApp in a partially initialized state potentially resulting in loss of memory integrity. |
| A junction point vulnerability within AMD uProf can allow a local low-privileged attacker to create junction points, potentially resulting in arbitrary file deletion or disclosure. |
| Improper input validation within AMD uProf can allow a local attacker to write out of bounds, potentially resulting in a crash or denial of service |
| Improper input validation within AMD uprof can allow a local attacker to overwrite MSR registers, potentially resulting in crash or denial of service. |
| Improper return value within AMD uProf can allow a local attacker to bypass KSLR, potentially resulting in loss of confidentiality or availability. |
| Improper input validation within AMD uprof can allow a local attacker to write to an arbitrary physical address, potentially resulting in crash or denial of service. |
| In the Linux kernel, the following vulnerability has been resolved:
drm/amd/display: fix a Null pointer dereference vulnerability
[Why]
A null pointer dereference vulnerability exists in the AMD display driver's
(DC module) cleanup function dc_destruct().
When display control context (dc->ctx) construction fails
(due to memory allocation failure), this pointer remains NULL.
During subsequent error handling when dc_destruct() is called,
there's no NULL check before dereferencing the perf_trace member
(dc->ctx->perf_trace), causing a kernel null pointer dereference crash.
[How]
Check if dc->ctx is non-NULL before dereferencing.
(Updated commit text and removed unnecessary error message)
(cherry picked from commit 9dd8e2ba268c636c240a918e0a31e6feaee19404) |
| Improper initialization of variables in the DXE driver may allow a privileged user to leak sensitive information via local access. |
| Improper initialization of variables in the DXE driver may allow a privileged user to leak sensitive information via local access. |
| A GPU kernel can read sensitive data from another GPU kernel (even from another user or app) through an optimized GPU memory region called _local memory_ on various architectures. |
