CVE-2024-56609:详情

CVE-2024-56609

7.8
/
高危
0.01%V4
2024-12-27
14h51 +00:00
Local
2026-11-05
20h31 +00:00
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CVE 描述

wifi: rtw88: use ieee80211_purge_tx_queue() to purge TX skb

In the Linux kernel, the following vulnerability has been resolved: wifi: rtw88: use ieee80211_purge_tx_queue() to purge TX skb When removing kernel modules by: rmmod rtw88_8723cs rtw88_8703b rtw88_8723x rtw88_sdio rtw88_core Driver uses skb_queue_purge() to purge TX skb, but not report tx status causing "Have pending ack frames!" warning. Use ieee80211_purge_tx_queue() to correct this. Since ieee80211_purge_tx_queue() doesn't take locks, to prevent racing between TX work and purge TX queue, flush and destroy TX work in advance. wlan0: deauthenticating from aa:f5:fd:60:4c:a8 by local choice (Reason: 3=DEAUTH_LEAVING) ------------[ cut here ]------------ Have pending ack frames! WARNING: CPU: 3 PID: 9232 at net/mac80211/main.c:1691 ieee80211_free_ack_frame+0x5c/0x90 [mac80211] CPU: 3 PID: 9232 Comm: rmmod Tainted: G C 6.10.1-200.fc40.aarch64 #1 Hardware name: pine64 Pine64 PinePhone Braveheart (1.1)/Pine64 PinePhone Braveheart (1.1), BIOS 2024.01 01/01/2024 pstate: 60400005 (nZCv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : ieee80211_free_ack_frame+0x5c/0x90 [mac80211] lr : ieee80211_free_ack_frame+0x5c/0x90 [mac80211] sp : ffff80008c1b37b0 x29: ffff80008c1b37b0 x28: ffff000003be8000 x27: 0000000000000000 x26: 0000000000000000 x25: ffff000003dc14b8 x24: ffff80008c1b37d0 x23: ffff000000ff9f80 x22: 0000000000000000 x21: 000000007fffffff x20: ffff80007c7e93d8 x19: ffff00006e66f400 x18: 0000000000000000 x17: ffff7ffffd2b3000 x16: ffff800083fc0000 x15: 0000000000000000 x14: 0000000000000000 x13: 2173656d61726620 x12: 6b636120676e6964 x11: 0000000000000000 x10: 000000000000005d x9 : ffff8000802af2b0 x8 : ffff80008c1b3430 x7 : 0000000000000001 x6 : 0000000000000001 x5 : 0000000000000000 x4 : 0000000000000000 x3 : 0000000000000000 x2 : 0000000000000000 x1 : 0000000000000000 x0 : ffff000003be8000 Call trace: ieee80211_free_ack_frame+0x5c/0x90 [mac80211] idr_for_each+0x74/0x110 ieee80211_free_hw+0x44/0xe8 [mac80211] rtw_sdio_remove+0x9c/0xc0 [rtw88_sdio] sdio_bus_remove+0x44/0x180 device_remove+0x54/0x90 device_release_driver_internal+0x1d4/0x238 driver_detach+0x54/0xc0 bus_remove_driver+0x78/0x108 driver_unregister+0x38/0x78 sdio_unregister_driver+0x2c/0x40 rtw_8723cs_driver_exit+0x18/0x1000 [rtw88_8723cs] __do_sys_delete_module.isra.0+0x190/0x338 __arm64_sys_delete_module+0x1c/0x30 invoke_syscall+0x74/0x100 el0_svc_common.constprop.0+0x48/0xf0 do_el0_svc+0x24/0x38 el0_svc+0x3c/0x158 el0t_64_sync_handler+0x120/0x138 el0t_64_sync+0x194/0x198 ---[ end trace 0000000000000000 ]---

CVE 信息

相关弱点

CWE-ID 弱点名称 来源
CWE Other 暂无信息。

指标

指标 评分 严重程度 CVSS 向量 来源
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.

nvd@nist.gov

EPSS

EPSS 是一种预测漏洞被利用可能性的评分模型。

EPSS 评分

EPSS 模型生成一个介于 0 到 1(即 0% 到 100%)之间的概率评分。评分越高,漏洞被利用的可能性越大。

EPSS 百分位

百分位用于根据 EPSS 评分对 CVE 进行排名。例如,EPSS 百分位为第 95 的 CVE,其被利用的可能性高于 95% 的其他 CVE。因此,百分位可用于比较不同 CVE 的 EPSS 评分。

相关产品

配置 0

Linux>>Linux_kernel >> Version 从(含) 5.2 至(不含) 6.1.136

Linux>>Linux_kernel >> Version 从(含) 6.2 至(不含) 6.6.70

Linux>>Linux_kernel >> Version 从(含) 6.7 至(不含) 6.12.5

参考资料