CVE-2025-0050 : 상세 정보

CVE-2025-0050

5.9
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0.16%V4
2025-04-07
12h02 +00:00
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Local
2025-04-10
14h06 +00:00
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알림 관리

CVE 설명

Mali GPU Userspace Driver allows an Out-of-Bounds access

Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability in Arm Ltd Bifrost GPU Userspace Driver, Arm Ltd Valhall GPU Userspace Driver, Arm Ltd Arm 5th Gen GPU Architecture Userspace Driver allows a non-privileged user process to make valid GPU processing operations, including via WebGL or WebGPU, to access a limited amount outside of buffer bounds.This issue affects Bifrost GPU Userspace Driver: from r0p0 through r49p2, from r50p0 through r51p0; Valhall GPU Userspace Driver: from r19p0 through r49p2, from r50p0 through r53p0; Arm 5th Gen GPU Architecture Userspace Driver: from r41p0 through r49p2, from r50p0 through r53p0.

CVE 해결 방법

This issue has been fixed in the following versions: * Bifrost GPU Userspace Driver r49p3 * Valhall GPU Userspace Driver r49p3 and r54p0 * Arm 5th Gen GPU Architecture Userspace Driver r49p3 and r54p0 Arm recommends that affected users upgrade to the latest applicable version to protect against this issue.

CVE 정보

관련 약점

CWE-ID 약점 이름 출처
CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer
The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary.

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V3.1 5.9 MEDIUM CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

Base: Exploitabilty Metrics

The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component.

Attack Vector

This metric reflects the context by which vulnerability exploitation is possible.

Local

The vulnerable component is not bound to the network stack and the attacker’s path is via read/write/execute capabilities.

Attack Complexity

This metric describes the conditions beyond the attacker’s control that must exist in order to exploit the vulnerability.

Low

Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success when attacking the vulnerable component.

Privileges Required

This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability.

None

The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.

User Interaction

This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable component.

None

The vulnerable system can be exploited without interaction from any user.

Base: Scope Metrics

The Scope metric captures whether a vulnerability in one vulnerable component impacts resources in components beyond its security scope.

Scope

Formally, a security authority is a mechanism (e.g., an application, an operating system, firmware, a sandbox environment) that defines and enforces access control in terms of how certain subjects/actors (e.g., human users, processes) can access certain restricted objects/resources (e.g., files, CPU, memory) in a controlled manner. All the subjects and objects under the jurisdiction of a single security authority are considered to be under one security scope. If a vulnerability in a vulnerable component can affect a component which is in a different security scope than the vulnerable component, a Scope change occurs. Intuitively, whenever the impact of a vulnerability breaches a security/trust boundary and impacts components outside the security scope in which vulnerable component resides, a Scope change occurs.

Unchanged

An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.

Base: Impact Metrics

The Impact metrics capture the effects of a successfully exploited vulnerability on the component that suffers the worst outcome that is most directly and predictably associated with the attack. Analysts should constrain impacts to a reasonable, final outcome which they are confident an attacker is able to achieve.

Confidentiality Impact

This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability.

Low

There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the impacted component.

Integrity Impact

This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information.

Low

Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact on the impacted component.

Availability Impact

This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability.

Low

Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the impacted component are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the impacted component.

Temporal Metrics

The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence in the description of a vulnerability.

Environmental Metrics

These metrics enable the analyst to customize the CVSS score depending on the importance of the affected IT asset to a user’s organization, measured in terms of Confidentiality, Integrity, and Availability.

134c704f-9b21-4f2e-91b3-4a467353bcc0

EPSS

EPSS는 취약점이 악용될 가능성을 예측하는 점수 모델입니다.

EPSS 점수

EPSS 모델은 0과 1(0~100%) 사이의 확률 점수를 생성합니다. 점수가 높을수록 취약점이 악용될 가능성이 높습니다.

EPSS 백분위수

백분위수는 EPSS 점수에 따라 CVE의 순위를 매기는 데 사용됩니다. 예를 들어 EPSS 점수 기준 95번째 백분위수의 CVE는 다른 CVE의 95%보다 악용될 가능성이 높습니다.

언급된 제품

구성 0

Arm>>5th_gen_gpu_architecture_userspace_driver >> Version 부터 (포함) r41p0 까지 (미포함) r49p3

Arm>>5th_gen_gpu_architecture_userspace_driver >> Version 부터 (포함) r50p0 까지 (미포함) r54p0

Arm>>Bifrost_gpu_userspace_driver >> Version 부터 (포함) r0p0 까지 (미포함) r49p3

Arm>>Bifrost_gpu_userspace_driver >> Version 부터 (포함) r50p0 까지 (포함) r51p0

Arm>>Valhall_gpu_userspace_driver >> Version 부터 (포함) r19p0 까지 (미포함) r49p3

Arm>>Valhall_gpu_userspace_driver >> Version 부터 (포함) r50p0 까지 (미포함) r54p0

참고 자료