CVE-2025-68260 : 상세 정보

CVE-2025-68260

7.8
/
높음
0.03%V4
2025-12-16
14h45 +00:00
Local
2026-08-05
12h10 +00:00
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CVE 설명

rust_binder: fix race condition on death_list

In the Linux kernel, the following vulnerability has been resolved: rust_binder: fix race condition on death_list Rust Binder contains the following unsafe operation: // SAFETY: A `NodeDeath` is never inserted into the death list // of any node other than its owner, so it is either in this // death list or in no death list. unsafe { node_inner.death_list.remove(self) }; This operation is unsafe because when touching the prev/next pointers of a list element, we have to ensure that no other thread is also touching them in parallel. If the node is present in the list that `remove` is called on, then that is fine because we have exclusive access to that list. If the node is not in any list, then it's also ok. But if it's present in a different list that may be accessed in parallel, then that may be a data race on the prev/next pointers. And unfortunately that is exactly what is happening here. In Node::release, we: 1. Take the lock. 2. Move all items to a local list on the stack. 3. Drop the lock. 4. Iterate the local list on the stack. Combined with threads using the unsafe remove method on the original list, this leads to memory corruption of the prev/next pointers. This leads to crashes like this one: Unable to handle kernel paging request at virtual address 000bb9841bcac70e Mem abort info: ESR = 0x0000000096000044 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 = 0x00000044, ISS2 = 0x00000000 CM = 0, WnR = 1, TnD = 0, TagAccess = 0 GCS = 0, Overlay = 0, DirtyBit = 0, Xs = 0 [000bb9841bcac70e] address between user and kernel address ranges Internal error: Oops: 0000000096000044 [#1] PREEMPT SMP google-cdd 538c004.gcdd: context saved(CPU:1) item - log_kevents is disabled Modules linked in: ... rust_binder CPU: 1 UID: 0 PID: 2092 Comm: kworker/1:178 Tainted: G S W OE 6.12.52-android16-5-g98debd5df505-4k #1 f94a6367396c5488d635708e43ee0c888d230b0b Tainted: [S]=CPU_OUT_OF_SPEC, [W]=WARN, [O]=OOT_MODULE, [E]=UNSIGNED_MODULE Hardware name: MUSTANG PVT 1.0 based on LGA (DT) Workqueue: events _RNvXs6_NtCsdfZWD8DztAw_6kernel9workqueueINtNtNtB7_4sync3arc3ArcNtNtCs8QPsHWIn21X_16rust_binder_main7process7ProcessEINtB5_15WorkItemPointerKy0_E3runB13_ [rust_binder] pstate: 23400005 (nzCv daif +PAN -UAO +TCO +DIT -SSBS BTYPE=--) pc : _RNvXs3_NtCs8QPsHWIn21X_16rust_binder_main7processNtB5_7ProcessNtNtCsdfZWD8DztAw_6kernel9workqueue8WorkItem3run+0x450/0x11f8 [rust_binder] lr : _RNvXs3_NtCs8QPsHWIn21X_16rust_binder_main7processNtB5_7ProcessNtNtCsdfZWD8DztAw_6kernel9workqueue8WorkItem3run+0x464/0x11f8 [rust_binder] sp : ffffffc09b433ac0 x29: ffffffc09b433d30 x28: ffffff8821690000 x27: ffffffd40cbaa448 x26: ffffff8821690000 x25: 00000000ffffffff x24: ffffff88d0376578 x23: 0000000000000001 x22: ffffffc09b433c78 x21: ffffff88e8f9bf40 x20: ffffff88e8f9bf40 x19: ffffff882692b000 x18: ffffffd40f10bf00 x17: 00000000c006287d x16: 00000000c006287d x15: 00000000000003b0 x14: 0000000000000100 x13: 000000201cb79ae0 x12: fffffffffffffff0 x11: 0000000000000000 x10: 0000000000000001 x9 : 0000000000000000 x8 : b80bb9841bcac706 x7 : 0000000000000001 x6 : fffffffebee63f30 x5 : 0000000000000000 x4 : 0000000000000001 x3 : 0000000000000000 x2 : 0000000000004c31 x1 : ffffff88216900c0 x0 : ffffff88e8f9bf00 Call trace: _RNvXs3_NtCs8QPsHWIn21X_16rust_binder_main7processNtB5_7ProcessNtNtCsdfZWD8DztAw_6kernel9workqueue8WorkItem3run+0x450/0x11f8 [rust_binder bbc172b53665bbc815363b22e97e3f7e3fe971fc] process_scheduled_works+0x1c4/0x45c worker_thread+0x32c/0x3e8 kthread+0x11c/0x1c8 ret_from_fork+0x10/0x20 Code: 94218d85 b4000155 a94026a8 d10102a0 (f9000509) ---[ end trace 0000000000000000 ]--- Thus, modify Node::release to pop items directly off the original list.

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.

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.

참고 자료