CVE-2026-68263 : 상세 정보

CVE-2026-68263

7.8
/
높음
2026-08-10
13h20 +00:00
Local
2026-08-17
05h18 +00:00
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CVE 설명

In the Linux kernel, the following vulnerability has been resolved: drm/imagination: Fix double call to drm_sched_entity_fini() Call sequence of double call: pvr_context_destroy   pvr_context_kill_queues     pvr_queue_kill       drm_sched_entity_destroy         drm_sched_entity_fini // here   pvr_context_put     kref_put(..., pvr_context_release)       pvr_context_destroy_queues         pvr_queue_destroy           drm_sched_entity_fini // here Call to drm_sched_entity_destroy() from pvr_context_kill_queues() calls drm_sched_entity_flush() + drm_sched_entity_fini(). drm_sched_entity_flush() ensures all pending jobs are completed and drm_sched_entity_fini() ensures no further submission is allowed as per expectation from pvr_context_kill_queues(). Double call to drm_sched_entity_fini() is misuse of the API so keep call only in pvr_context_create() failure path. Stack trace for issue with addition of refcounting for DRM entity stats in commit fd177135f0e6 ("drm/sched: Account entity GPU time"): [ 789.490527] ------------[ cut here ]------------ [ 789.490559] refcount_t: underflow; use-after-free. [ 789.490657] WARNING: lib/refcount.c:28 at refcount_warn_saturate+0xf4/0x144, CPU#0: kworker/u16:1/440 [ 789.490695] Modules linked in: powervr drm_gpuvm drm_exec gpu_sched drm_shmem_helper xhci_plat_hcd xhci_hcd dwc3 usbcore usb_common snd_soc_simple_card snd_soc_simple_card_utils sa2ul sha512 sha256 dwc3_am62 sha1 authenc rti_wdt libsha512 at24 sch_fq_codel fuse dm_mod ipv6 [ 789.490798] CPU: 0 UID: 0 PID: 440 Comm: kworker/u16:1 Not tainted 7.0.0-rc7-02049-g5e2c0700091b #22 PREEMPT [ 789.490809] Hardware name: Texas Instruments AM625 SK (DT) [ 789.490815] Workqueue: powervr-sched pvr_queue_fence_release_work [powervr] [ 789.490868] pstate: 60000005 (nZCv daif -PAN -UAO -TCO -DIT -SSBS BTYPE=--) [ 789.490876] pc : refcount_warn_saturate+0xf4/0x144 [ 789.490884] lr : refcount_warn_saturate+0xf4/0x144 [ 789.490892] sp : ffff8000822cbcc0 [ 789.490895] x29: ffff8000822cbcc0 x28: 0000000000000000 x27: 0000000000000000 [ 789.490909] x26: 0000000000000000 x25: ffff800081b1e338 x24: ffff000004541405 [ 789.490922] x23: ffff000004bea950 x22: ffff00000042e400 x21: ffff000007123e30 [ 789.490935] x20: ffff000007123000 x19: ffff000007a80d50 x18: fffffffffffe7768 [ 789.490948] x17: 74736574202c6e6f x16: 697461746e656d65 x15: ffff800081b269f0 [ 789.490962] x14: 0000000000000030 x13: ffff800081b26a70 x12: 0000000000000211 [ 789.490975] x11: 00000000000000c0 x10: 0000000000000b50 x9 : ffff8000822cbb30 [ 789.490988] x8 : ffff0000014e7bb0 x7 : ffff00007725e780 x6 : 0000000372a05f49 [ 789.491001] x5 : 0000000000000000 x4 : 0000000000000001 x3 : 0000000000000010 [ 789.491013] x2 : 0000000000000000 x1 : 0000000000000000 x0 : ffff0000014e7000 [ 789.491027] Call trace: [ 789.491032] refcount_warn_saturate+0xf4/0x144 (P) [ 789.491043] drm_sched_entity_fini+0x164/0x18c [gpu_sched] [ 789.491081] pvr_queue_destroy+0x64/0x134 [powervr] [ 789.491110] pvr_context_destroy_queues+0x34/0x64 [powervr] [ 789.491138] pvr_context_release+0x70/0xac [powervr] [ 789.491166] pvr_context_put.part.0+0x5c/0x7c [powervr] [ 789.491193] pvr_context_put+0x14/0x24 [powervr] [ 789.491221] pvr_queue_fence_release_work+0x20/0x38 [powervr] [ 789.491249] process_one_work+0x160/0x4c4 [ 789.491264] worker_thread+0x188/0x310 [ 789.491276] kthread+0x130/0x13c [ 789.491287] ret_from_fork+0x10/0x20 [ 789.491300] ---[ end trace 0000000000000000 ]---

CVE 정보

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V3.1 7.8 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/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.

High

There is a total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.

Integrity Impact

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

High

There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the impacted component. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to 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.

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