CVE-2022-50260 : Detail

CVE-2022-50260

5.5
/
Sedang
0.03%V4
2025-09-15
14h02 +00:00
Local
2025-09-15
14h02 +00:00
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Deskripsi CVE

drm/msm: Make .remove and .shutdown HW shutdown consistent

In the Linux kernel, the following vulnerability has been resolved: drm/msm: Make .remove and .shutdown HW shutdown consistent Drivers' .remove and .shutdown callbacks are executed on different code paths. The former is called when a device is removed from the bus, while the latter is called at system shutdown time to quiesce the device. This means that some overlap exists between the two, because both have to take care of properly shutting down the hardware. But currently the logic used in these two callbacks isn't consistent in msm drivers, which could lead to kernel panic. For example, on .remove the component is deleted and its .unbind callback leads to the hardware being shutdown but only if the DRM device has been marked as registered. That check doesn't exist in the .shutdown logic and this can lead to the driver calling drm_atomic_helper_shutdown() for a DRM device that hasn't been properly initialized. A situation like this can happen if drivers for expected sub-devices fail to probe, since the .bind callback will never be executed. If that is the case, drm_atomic_helper_shutdown() will attempt to take mutexes that are only initialized if drm_mode_config_init() is called during a device bind. This bug was attempted to be fixed in commit 623f279c7781 ("drm/msm: fix shutdown hook in case GPU components failed to bind"), but unfortunately it still happens in some cases as the one mentioned above, i.e: systemd-shutdown[1]: Powering off. kvm: exiting hardware virtualization platform wifi-firmware.0: Removing from iommu group 12 platform video-firmware.0: Removing from iommu group 10 ------------[ cut here ]------------ WARNING: CPU: 6 PID: 1 at drivers/gpu/drm/drm_modeset_lock.c:317 drm_modeset_lock_all_ctx+0x3c4/0x3d0 ... Hardware name: Google CoachZ (rev3+) (DT) pstate: a0400009 (NzCv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : drm_modeset_lock_all_ctx+0x3c4/0x3d0 lr : drm_modeset_lock_all_ctx+0x48/0x3d0 sp : ffff80000805bb80 x29: ffff80000805bb80 x28: ffff327c00128000 x27: 0000000000000000 x26: 0000000000000000 x25: 0000000000000001 x24: ffffc95d820ec030 x23: ffff327c00bbd090 x22: ffffc95d8215eca0 x21: ffff327c039c5800 x20: ffff327c039c5988 x19: ffff80000805bbe8 x18: 0000000000000034 x17: 000000040044ffff x16: ffffc95d80cac920 x15: 0000000000000000 x14: 0000000000000315 x13: 0000000000000315 x12: 0000000000000000 x11: 0000000000000000 x10: 0000000000000000 x9 : 0000000000000000 x8 : ffff80000805bc28 x7 : 0000000000000000 x6 : 0000000000000000 x5 : 0000000000000000 x4 : 0000000000000000 x3 : 0000000000000000 x2 : ffff327c00128000 x1 : 0000000000000000 x0 : ffff327c039c59b0 Call trace: drm_modeset_lock_all_ctx+0x3c4/0x3d0 drm_atomic_helper_shutdown+0x70/0x134 msm_drv_shutdown+0x30/0x40 platform_shutdown+0x28/0x40 device_shutdown+0x148/0x350 kernel_power_off+0x38/0x80 __do_sys_reboot+0x288/0x2c0 __arm64_sys_reboot+0x28/0x34 invoke_syscall+0x48/0x114 el0_svc_common.constprop.0+0x44/0xec do_el0_svc+0x2c/0xc0 el0_svc+0x2c/0x84 el0t_64_sync_handler+0x11c/0x150 el0t_64_sync+0x18c/0x190 ---[ end trace 0000000000000000 ]--- Unable to handle kernel NULL pointer dereference at virtual address 0000000000000018 Mem abort info: ESR = 0x0000000096000004 EC = 0x25: DABT (current EL), IL = 32 bits SET = 0, FnV = 0 EA = 0, S1PTW = 0 FSC = 0x04: level 0 translation fault Data abort info: ISV = 0, ISS = 0x00000004 CM = 0, WnR = 0 user pgtable: 4k pages, 48-bit VAs, pgdp=000000010eab1000 [0000000000000018] pgd=0000000000000000, p4d=0000000000000000 Internal error: Oops: 96000004 [#1] PREEMPT SMP ... Hardware name: Google CoachZ (rev3+) (DT) pstate: a0400009 (NzCv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : ww_mutex_lock+0x28/0x32c lr : drm_modeset_lock_all_ctx+0x1b0/0x3d0 sp : ffff80000805bb50 x29: ffff80000805bb50 x28: ffff327c00128000 x27: 0000000000000000 x26: 00000 ---truncated---

Informasi CVE

Kelemahan Terkait

CWE-ID Nama Kelemahan Sumber
CWE Other Tidak ada informasi.

Metrik

Metrik Skor Tingkat keparahan CVSS Vektor Sumber
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

EPSS adalah model penilaian yang memprediksi kemungkinan suatu kerentanan dieksploitasi.

Skor EPSS

Model EPSS menghasilkan skor probabilitas antara 0 dan 1 (0 hingga 100%). Semakin tinggi skor, semakin besar probabilitas bahwa suatu kerentanan akan dieksploitasi.

Persentil EPSS

Persentil digunakan untuk meranking CVE berdasarkan skor EPSS mereka. Misalnya, CVE di persentil ke-95 berdasarkan skor EPSS-nya lebih mungkin dieksploitasi daripada 95% CVE lainnya. Dengan demikian, persentil digunakan untuk membandingkan skor EPSS suatu CVE dengan CVE lainnya.

Produk yang Disebutkan

Konfigurasi 0

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Referensi