Amd Ryzen 3 4300Ge vulnerabilities

16 vulnerabilities

Known vulnerabilities in Amd Ryzen 3 4300Ge, newest first, with CVSS severity, EPSS, KEV listings, ransomware use and the affected versions.

6CVE-2021-26367amdathlon_gold_3150c_firmware+35
EPSS score
0.16%
A malicious attacker in x86 can misconfigure the Trusted Memory Regions (TMRs), which may allow the attacker to set an arbitrary address range for the TMR, potentially leading to a loss of integrity and availability.
5.5CVE-2021-26339amdathlon™ series+85
EPSS score
0.28%
A bug in AMD CPU’s core logic may allow for an attacker, using specific code from an unprivileged VM, to trigger a CPU core hang resulting in a potential denial of service. AMD believes the specific code includes a specific x86 instruction sequence that would not be generated by compilers.
6.5CVE-2021-26341amda10-9600p_firmware+125
EPSS score
0.32%
Some AMD CPUs may transiently execute beyond unconditional direct branches, which may potentially result in data leakage.
5.6CVE-2021-26401amda10-9600p_firmware+216
EPSS score
0.29%
LFENCE/JMP (mitigation V2-2) may not sufficiently mitigate CVE-2017-5715 on some AMD CPUs.
5.6CVE-2021-46778amdamd processors+179
EPSS score
0.23%
Execution unit scheduler contention may lead to a side channel vulnerability found on AMD CPU microarchitectures codenamed “Zen 1”, “Zen 2” and “Zen 3” that use simultaneous multithreading (SMT). By measuring the contention level on scheduler queues an attacker may potentially leak sensitive information.
6.5CVE-2022-29900amda10-9600p_firmware+214
EPSS score
3.94%
Mis-trained branch predictions for return instructions may allow arbitrary speculative code execution under certain microarchitecture-dependent conditions.
4.7CVE-2022-27672amd1st gen amd epyc™ processors+274
EPSS score
0.28%
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.
6.5CVE-2022-23823amda10-9600p_firmware+142
EPSS score
1.17%
A potential vulnerability in some AMD processors using frequency scaling may allow an authenticated attacker to execute a timing attack to potentially enable information disclosure.
5.5CVE-2022-23824amda10-9600p_firmware+205
EPSS score
0.60%
IBPB may not prevent return branch predictions from being specified by pre-IBPB branch targets leading to a potential information disclosure.
6.5CVE-2022-23825amda10-9600p_firmware+255
EPSS score
0.78%
Aliases in the branch predictor may cause some AMD processors to predict the wrong branch type potentially leading to information disclosure.
6.8CVE-2023-20589amd4700s_firmware+143
EPSS score
0.58%
An attacker with specialized hardware and physical access to an impacted device may be able to perform a voltage fault injection attack resulting in compromise of the ASP secure boot potentially leading to arbitrary code execution.
6CVE-2023-20579amdamd ryzen™ 3000 series processors with radeon™ graphics+142
EPSS score
0.16%
Improper Access Control in the AMD SPI protection feature may allow a user with Ring0 (kernel mode) privileged access to bypass protections potentially resulting in loss of integrity and availability.
8.8CVE-2023-20558amd2nd gen amd ryzen™ threadripper™ processor+95
EPSS score
0.67%
Insufficient control flow management in AmdCpmOemSmm may allow a privileged attacker to tamper with the SMM handler potentially leading to an escalation of privileges.
8.8CVE-2023-20559amd2nd gen amd ryzen™ threadripper™ processor+95
EPSS score
0.67%
Insufficient control flow management in AmdCpmGpioInitSmm may allow a privileged attacker to tamper with the SMM handler potentially leading to escalation of privileges.
5.5CVE-2023-20593amd2nd gen amd epyc™ processors+259
EPSS score
5.19%
An issue in “Zen 2” CPUs, under specific microarchitectural circumstances, may allow an attacker to potentially access sensitive information.
6.5CVE-2023-4969amdathlon_3000g_firmware+135
EPSS score
1.19%
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.