CVE-2025-21730 : Detail

CVE-2025-21730

7.8
/
High
0.07%V4
Local
2025-02-27
02h07 +00:00
2026-07-30
05h45 +00:00
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CVE Descriptions

wifi: rtw89: avoid to init mgnt_entry list twice when WoWLAN failed

In the Linux kernel, the following vulnerability has been resolved: wifi: rtw89: avoid to init mgnt_entry list twice when WoWLAN failed If WoWLAN failed in resume flow, the rtw89_ops_add_interface() triggered without removing the interface first. Then the mgnt_entry list init again, causing the list_empty() check in rtw89_chanctx_ops_assign_vif() useless, and list_add_tail() again. Therefore, we have added a check to prevent double adding of the list. rtw89_8852ce 0000:01:00.0: failed to check wow status disabled rtw89_8852ce 0000:01:00.0: wow: failed to check disable fw ready rtw89_8852ce 0000:01:00.0: wow: failed to swap to normal fw rtw89_8852ce 0000:01:00.0: failed to disable wow rtw89_8852ce 0000:01:00.0: failed to resume for wow -110 rtw89_8852ce 0000:01:00.0: MAC has already powered on i2c_hid_acpi i2c-ILTK0001:00: PM: acpi_subsys_resume+0x0/0x60 returned 0 after 284705 usecs list_add corruption. prev->next should be next (ffff9d9719d82228), but was ffff9d9719f96030. (prev=ffff9d9719f96030). ------------[ cut here ]------------ kernel BUG at lib/list_debug.c:34! invalid opcode: 0000 [#1] PREEMPT SMP NOPTI CPU: 2 PID: 6918 Comm: kworker/u8:19 Tainted: G U O Hardware name: Google Anraggar/Anraggar, BIOS Google_Anraggar.15217.514.0 03/25/2024 Workqueue: events_unbound async_run_entry_fn RIP: 0010:__list_add_valid_or_report+0x9f/0xb0 Code: e8 56 89 ff ff 0f 0b 48 c7 c7 3e fc e0 96 48 89 c6 e8 45 89 ff ... RSP: 0018:ffffa51b42bbbaf0 EFLAGS: 00010246 RAX: 0000000000000075 RBX: ffff9d9719d82ab0 RCX: 13acb86e047a4400 RDX: 3fffffffffffffff RSI: 0000000000000000 RDI: 00000000ffffdfff RBP: ffffa51b42bbbb28 R08: ffffffff9768e250 R09: 0000000000001fff R10: ffffffff9765e250 R11: 0000000000005ffd R12: ffff9d9719f95c40 R13: ffff9d9719f95be8 R14: ffff9d97081bfd78 R15: ffff9d9719d82060 FS: 0000000000000000(0000) GS:ffff9d9a6fb00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007e7d029a4060 CR3: 0000000345e38000 CR4: 0000000000750ee0 PKRU: 55555554 Call Trace: ? __die_body+0x68/0xb0 ? die+0xaa/0xd0 ? do_trap+0x9f/0x170 ? __list_add_valid_or_report+0x9f/0xb0 ? __list_add_valid_or_report+0x9f/0xb0 ? handle_invalid_op+0x69/0x90 ? __list_add_valid_or_report+0x9f/0xb0 ? exc_invalid_op+0x3c/0x50 ? asm_exc_invalid_op+0x16/0x20 ? __list_add_valid_or_report+0x9f/0xb0 rtw89_chanctx_ops_assign_vif+0x1f9/0x210 [rtw89_core cbb375c44bf28564ce479002bff66617a25d9ac1] ? __mutex_unlock_slowpath+0xa0/0xf0 rtw89_ops_assign_vif_chanctx+0x4b/0x90 [rtw89_core cbb375c44bf28564ce479002bff66617a25d9ac1] drv_assign_vif_chanctx+0xa7/0x1f0 [mac80211 6efaad16237edaaea0868b132d4f93ecf918a8b6] ieee80211_reconfig+0x9cb/0x17b0 [mac80211 6efaad16237edaaea0868b132d4f93ecf918a8b6] ? __pfx_wiphy_resume+0x10/0x10 [cfg80211 572d03acaaa933fe38251be7fce3b3675284b8ed] ? dev_printk_emit+0x51/0x70 ? _dev_info+0x6e/0x90 wiphy_resume+0x89/0x180 [cfg80211 572d03acaaa933fe38251be7fce3b3675284b8ed] ? __pfx_wiphy_resume+0x10/0x10 [cfg80211 572d03acaaa933fe38251be7fce3b3675284b8ed] dpm_run_callback+0x37/0x1e0 device_resume+0x26d/0x4b0 ? __pfx_dpm_watchdog_handler+0x10/0x10 async_resume+0x1d/0x30 async_run_entry_fn+0x29/0xd0 worker_thread+0x397/0x970 kthread+0xed/0x110 ? __pfx_worker_thread+0x10/0x10 ? __pfx_kthread+0x10/0x10 ret_from_fork+0x38/0x50 ? __pfx_kthread+0x10/0x10 ret_from_fork_asm+0x1b/0x30

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE Other No informations.

Metrics

Metrics Score Severity CVSS Vector Source
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.

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 is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 6.13 To (excluding) 6.13.2

References