CVE-2022-50173 : 상세 정보

CVE-2022-50173

5.5
/
보통
0.05%V4
2025-06-18
11h03 +00:00
Local
2025-06-18
11h03 +00:00
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알림 관리

CVE 설명

drm/msm/mdp5: Fix global state lock backoff

In the Linux kernel, the following vulnerability has been resolved: drm/msm/mdp5: Fix global state lock backoff We need to grab the lock after the early return for !hwpipe case. Otherwise, we could have hit contention yet still returned 0. Fixes an issue that the new CONFIG_DRM_DEBUG_MODESET_LOCK stuff flagged in CI: WARNING: CPU: 0 PID: 282 at drivers/gpu/drm/drm_modeset_lock.c:296 drm_modeset_lock+0xf8/0x154 Modules linked in: CPU: 0 PID: 282 Comm: kms_cursor_lega Tainted: G W 5.19.0-rc2-15930-g875cc8bc536a #1 Hardware name: Qualcomm Technologies, Inc. DB820c (DT) pstate: 60000005 (nZCv daif -PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : drm_modeset_lock+0xf8/0x154 lr : drm_atomic_get_private_obj_state+0x84/0x170 sp : ffff80000cfab6a0 x29: ffff80000cfab6a0 x28: 0000000000000000 x27: ffff000083bc4d00 x26: 0000000000000038 x25: 0000000000000000 x24: ffff80000957ca58 x23: 0000000000000000 x22: ffff000081ace080 x21: 0000000000000001 x20: ffff000081acec18 x19: ffff80000cfabb80 x18: 0000000000000038 x17: 0000000000000000 x16: 0000000000000000 x15: fffffffffffea0d0 x14: 0000000000000000 x13: 284e4f5f4e524157 x12: 5f534b434f4c5f47 x11: ffff80000a386aa8 x10: 0000000000000029 x9 : ffff80000cfab610 x8 : 0000000000000029 x7 : 0000000000000014 x6 : 0000000000000000 x5 : 0000000000000001 x4 : ffff8000081ad904 x3 : 0000000000000029 x2 : ffff0000801db4c0 x1 : ffff80000cfabb80 x0 : ffff000081aceb58 Call trace: drm_modeset_lock+0xf8/0x154 drm_atomic_get_private_obj_state+0x84/0x170 mdp5_get_global_state+0x54/0x6c mdp5_pipe_release+0x2c/0xd4 mdp5_plane_atomic_check+0x2ec/0x414 drm_atomic_helper_check_planes+0xd8/0x210 drm_atomic_helper_check+0x54/0xb0 ... ---[ end trace 0000000000000000 ]--- drm_modeset_lock attempting to lock a contended lock without backoff: drm_modeset_lock+0x148/0x154 mdp5_get_global_state+0x30/0x6c mdp5_pipe_release+0x2c/0xd4 mdp5_plane_atomic_check+0x290/0x414 drm_atomic_helper_check_planes+0xd8/0x210 drm_atomic_helper_check+0x54/0xb0 drm_atomic_check_only+0x4b0/0x8f4 drm_atomic_commit+0x68/0xe0 Patchwork: https://patchwork.freedesktop.org/patch/492701/

CVE 정보

관련 약점

CWE-ID 약점 이름 출처
CWE-667 Improper Locking
The product does not properly acquire or release a lock on a resource, leading to unexpected resource state changes and behaviors.

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V3.1 5.5 MEDIUM CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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.

Low

The attacker requires privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.

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.

None

There is no loss of confidentiality within 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.

None

There is no loss of integrity within the impacted component.

Availability Impact

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

High

There is a total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable).

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.

nvd@nist.gov

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.

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구성 0

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참고 자료