CVE-2023-53455 : 상세 정보

CVE-2023-53455

5.5
/
보통
0.01%V4
2025-10-01
12h15 +00:00
Local
2026-01-16
21h15 +00:00
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CVE 설명

In the Linux kernel, the following vulnerability has been resolved: drm/vc4: drop all currently held locks if deadlock happens If vc4_hdmi_reset_link() returns -EDEADLK, it means that a deadlock happened in the locking context. This situation should be addressed by dropping all currently held locks and block until the contended lock becomes available. Currently, vc4 is not dealing with the deadlock properly, producing the following output when PROVE_LOCKING is enabled: [ 825.612809] ------------[ cut here ]------------ [ 825.612852] WARNING: CPU: 1 PID: 116 at drivers/gpu/drm/drm_modeset_lock.c:276 drm_modeset_drop_locks+0x60/0x68 [drm] [ 825.613458] Modules linked in: 8021q mrp garp stp llc raspberrypi_cpufreq brcmfmac brcmutil crct10dif_ce hci_uart cfg80211 btqca btbcm bluetooth vc4 raspberrypi_hwmon snd_soc_hdmi_codec cec clk_raspberrypi ecdh_generic drm_display_helper ecc rfkill drm_dma_helper drm_kms_helper pwm_bcm2835 bcm2835_thermal bcm2835_rng rng_core i2c_bcm2835 drm fuse ip_tables x_tables ipv6 [ 825.613735] CPU: 1 PID: 116 Comm: kworker/1:2 Tainted: G W 6.1.0-rc6-01399-g941aae326315 #3 [ 825.613759] Hardware name: Raspberry Pi 3 Model B Rev 1.2 (DT) [ 825.613777] Workqueue: events output_poll_execute [drm_kms_helper] [ 825.614038] pstate: 60000005 (nZCv daif -PAN -UAO -TCO -DIT -SSBS BTYPE=--) [ 825.614063] pc : drm_modeset_drop_locks+0x60/0x68 [drm] [ 825.614603] lr : drm_helper_probe_detect+0x120/0x1b4 [drm_kms_helper] [ 825.614829] sp : ffff800008313bf0 [ 825.614844] x29: ffff800008313bf0 x28: ffffcd7778b8b000 x27: 0000000000000000 [ 825.614883] x26: 0000000000000001 x25: 0000000000000001 x24: ffff677cc35c2758 [ 825.614920] x23: ffffcd7707d01430 x22: ffffcd7707c3edc7 x21: 0000000000000001 [ 825.614958] x20: 0000000000000000 x19: ffff800008313c10 x18: 000000000000b6d3 [ 825.614995] x17: ffffcd777835e214 x16: ffffcd7777cef870 x15: fffff81000000000 [ 825.615033] x14: 0000000000000000 x13: 0000000000000099 x12: 0000000000000002 [ 825.615070] x11: 72917988020af800 x10: 72917988020af800 x9 : 72917988020af800 [ 825.615108] x8 : ffff677cc665e0a8 x7 : d00a8c180000110c x6 : ffffcd77774c0054 [ 825.615145] x5 : 0000000000000000 x4 : 0000000000000001 x3 : 0000000000000000 [ 825.615181] x2 : ffff677cc55e1880 x1 : ffffcd7777cef8ec x0 : ffff800008313c10 [ 825.615219] Call trace: [ 825.615232] drm_modeset_drop_locks+0x60/0x68 [drm] [ 825.615773] drm_helper_probe_detect+0x120/0x1b4 [drm_kms_helper] [ 825.616003] output_poll_execute+0xe4/0x224 [drm_kms_helper] [ 825.616233] process_one_work+0x2b4/0x618 [ 825.616264] worker_thread+0x24c/0x464 [ 825.616288] kthread+0xec/0x110 [ 825.616310] ret_from_fork+0x10/0x20 [ 825.616335] irq event stamp: 7634 [ 825.616349] hardirqs last enabled at (7633): [] _raw_spin_unlock_irq+0x3c/0x78 [ 825.616384] hardirqs last disabled at (7634): [] __schedule+0x134/0x9f0 [ 825.616411] softirqs last enabled at (7630): [] local_bh_enable+0x4/0x30 [ipv6] [ 825.617019] softirqs last disabled at (7618): [] local_bh_disable+0x4/0x30 [ipv6] [ 825.617586] ---[ end trace 0000000000000000 ]--- Therefore, deal with the deadlock as suggested by [1], using the function drm_modeset_backoff(). [1] https://docs.kernel.org/gpu/drm-kms.html?highlight=kms#kms-locking

CVE 정보

관련 약점

CWE-ID 약점 이름 출처
CWE Other 정보 없음.

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.

언급된 제품

구성 0

Linux>>Linux_kernel >> Version 부터 (포함) 6.1 까지 (미포함) 6.1.16

Linux>>Linux_kernel >> Version 부터 (포함) 6.2 까지 (미포함) 6.2.3

참고 자료