CVE-2025-68360 : 詳細

CVE-2025-68360

8.2
/
高
0.03%V4
2025-12-24
10h32 +00:00
Network
2026-10-21
12h38 +00:00
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CVE の説明

wifi: mt76: wed: use proper wed reference in mt76 wed driver callabacks

In the Linux kernel, the following vulnerability has been resolved: wifi: mt76: wed: use proper wed reference in mt76 wed driver callabacks MT7996 driver can use both wed and wed_hif2 devices to offload traffic from/to the wireless NIC. In the current codebase we assume to always use the primary wed device in wed callbacks resulting in the following crash if the hw runs wed_hif2 (e.g. 6GHz link). [ 297.455876] Unable to handle kernel read from unreadable memory at virtual address 000000000000080a [ 297.464928] Mem abort info: [ 297.467722] ESR = 0x0000000096000005 [ 297.471461] EC = 0x25: DABT (current EL), IL = 32 bits [ 297.476766] SET = 0, FnV = 0 [ 297.479809] EA = 0, S1PTW = 0 [ 297.482940] FSC = 0x05: level 1 translation fault [ 297.487809] Data abort info: [ 297.490679] ISV = 0, ISS = 0x00000005, ISS2 = 0x00000000 [ 297.496156] CM = 0, WnR = 0, TnD = 0, TagAccess = 0 [ 297.501196] GCS = 0, Overlay = 0, DirtyBit = 0, Xs = 0 [ 297.506500] user pgtable: 4k pages, 39-bit VAs, pgdp=0000000107480000 [ 297.512927] [000000000000080a] pgd=08000001097fb003, p4d=08000001097fb003, pud=08000001097fb003, pmd=0000000000000000 [ 297.523532] Internal error: Oops: 0000000096000005 [#1] SMP [ 297.715393] CPU: 2 UID: 0 PID: 45 Comm: kworker/u16:2 Tainted: G O 6.12.50 #0 [ 297.723908] Tainted: [O]=OOT_MODULE [ 297.727384] Hardware name: Banana Pi BPI-R4 (2x SFP+) (DT) [ 297.732857] Workqueue: nf_ft_offload_del nf_flow_rule_route_ipv6 [nf_flow_table] [ 297.740254] pstate: 60400005 (nZCv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--) [ 297.747205] pc : mt76_wed_offload_disable+0x64/0xa0 [mt76] [ 297.752688] lr : mtk_wed_flow_remove+0x58/0x80 [ 297.757126] sp : ffffffc080fe3ae0 [ 297.760430] x29: ffffffc080fe3ae0 x28: ffffffc080fe3be0 x27: 00000000deadbef7 [ 297.767557] x26: ffffff80c5ebca00 x25: 0000000000000001 x24: ffffff80c85f4c00 [ 297.774683] x23: ffffff80c1875b78 x22: ffffffc080d42cd0 x21: ffffffc080660018 [ 297.781809] x20: ffffff80c6a076d0 x19: ffffff80c6a043c8 x18: 0000000000000000 [ 297.788935] x17: 0000000000000000 x16: 0000000000000001 x15: 0000000000000000 [ 297.796060] x14: 0000000000000019 x13: ffffff80c0ad8ec0 x12: 00000000fa83b2da [ 297.803185] x11: ffffff80c02700c0 x10: ffffff80c0ad8ec0 x9 : ffffff81fef96200 [ 297.810311] x8 : ffffff80c02700c0 x7 : ffffff80c02700d0 x6 : 0000000000000002 [ 297.817435] x5 : 0000000000000400 x4 : 0000000000000000 x3 : 0000000000000000 [ 297.824561] x2 : 0000000000000001 x1 : 0000000000000800 x0 : ffffff80c6a063c8 [ 297.831686] Call trace: [ 297.834123] mt76_wed_offload_disable+0x64/0xa0 [mt76] [ 297.839254] mtk_wed_flow_remove+0x58/0x80 [ 297.843342] mtk_flow_offload_cmd+0x434/0x574 [ 297.847689] mtk_wed_setup_tc_block_cb+0x30/0x40 [ 297.852295] nf_flow_offload_ipv6_hook+0x7f4/0x964 [nf_flow_table] [ 297.858466] nf_flow_rule_route_ipv6+0x438/0x4a4 [nf_flow_table] [ 297.864463] process_one_work+0x174/0x300 [ 297.868465] worker_thread+0x278/0x430 [ 297.872204] kthread+0xd8/0xdc [ 297.875251] ret_from_fork+0x10/0x20 [ 297.878820] Code: 928b5ae0 8b000273 91400a60 f943fa61 (79401421) [ 297.884901] ---[ end trace 0000000000000000 ]--- Fix the issue detecting the proper wed reference to use running wed callabacks.

CVE の情報

メトリクス

メトリクス スコア 深刻度 CVSS ベクター 出典
V3.1 8.2 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/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.

Network

The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).

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.

None

The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.

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.

Low

Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact on 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

EPSSは脆弱性が悪用される可能性を予測するスコアリングモデルです。

EPSSスコア

EPSSモデルは0から1(0〜100%)の確率スコアを算出します。スコアが高いほど、脆弱性が悪用される可能性が高いことを示します。

EPSSパーセンタイル

パーセンタイルはCVEをEPSSスコアで順位付けするために使用されます。例えば、EPSSスコアで95パーセンタイルにあるCVEは、他の95%のCVEよりも悪用される可能性が高いことを意味します。パーセンタイルはCVEのEPSSスコアを他のCVEと比較するために使用されます。

参考資料