CVE-2025-37794 : Detail

CVE-2025-37794

5.5
/
Medium
Memory Corruption
0.02%V4
Local
2025-05-01
13h07 +00:00
2025-11-03
19h55 +00:00
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CVE Descriptions

wifi: mac80211: Purge vif txq in ieee80211_do_stop()

In the Linux kernel, the following vulnerability has been resolved: wifi: mac80211: Purge vif txq in ieee80211_do_stop() After ieee80211_do_stop() SKB from vif's txq could still be processed. Indeed another concurrent vif schedule_and_wake_txq call could cause those packets to be dequeued (see ieee80211_handle_wake_tx_queue()) without checking the sdata current state. Because vif.drv_priv is now cleared in this function, this could lead to driver crash. For example in ath12k, ahvif is store in vif.drv_priv. Thus if ath12k_mac_op_tx() is called after ieee80211_do_stop(), ahvif->ah can be NULL, leading the ath12k_warn(ahvif->ah,...) call in this function to trigger the NULL deref below. Unable to handle kernel paging request at virtual address dfffffc000000001 KASAN: null-ptr-deref in range [0x0000000000000008-0x000000000000000f] batman_adv: bat0: Interface deactivated: brbh1337 Mem abort info: ESR = 0x0000000096000004 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 = 0x00000004, ISS2 = 0x00000000 CM = 0, WnR = 0, TnD = 0, TagAccess = 0 GCS = 0, Overlay = 0, DirtyBit = 0, Xs = 0 [dfffffc000000001] address between user and kernel address ranges Internal error: Oops: 0000000096000004 [#1] SMP CPU: 1 UID: 0 PID: 978 Comm: lbd Not tainted 6.13.0-g633f875b8f1e #114 Hardware name: HW (DT) pstate: 10000005 (nzcV daif -PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : ath12k_mac_op_tx+0x6cc/0x29b8 [ath12k] lr : ath12k_mac_op_tx+0x174/0x29b8 [ath12k] sp : ffffffc086ace450 x29: ffffffc086ace450 x28: 0000000000000000 x27: 1ffffff810d59ca4 x26: ffffff801d05f7c0 x25: 0000000000000000 x24: 000000004000001e x23: ffffff8009ce4926 x22: ffffff801f9c0800 x21: ffffff801d05f7f0 x20: ffffff8034a19f40 x19: 0000000000000000 x18: ffffff801f9c0958 x17: ffffff800bc0a504 x16: dfffffc000000000 x15: ffffffc086ace4f8 x14: ffffff801d05f83c x13: 0000000000000000 x12: ffffffb003a0bf03 x11: 0000000000000000 x10: ffffffb003a0bf02 x9 : ffffff8034a19f40 x8 : ffffff801d05f818 x7 : 1ffffff0069433dc x6 : ffffff8034a19ee0 x5 : ffffff801d05f7f0 x4 : 0000000000000000 x3 : 0000000000000001 x2 : 0000000000000000 x1 : dfffffc000000000 x0 : 0000000000000008 Call trace: ath12k_mac_op_tx+0x6cc/0x29b8 [ath12k] (P) ieee80211_handle_wake_tx_queue+0x16c/0x260 ieee80211_queue_skb+0xeec/0x1d20 ieee80211_tx+0x200/0x2c8 ieee80211_xmit+0x22c/0x338 __ieee80211_subif_start_xmit+0x7e8/0xc60 ieee80211_subif_start_xmit+0xc4/0xee0 __ieee80211_subif_start_xmit_8023.isra.0+0x854/0x17a0 ieee80211_subif_start_xmit_8023+0x124/0x488 dev_hard_start_xmit+0x160/0x5a8 __dev_queue_xmit+0x6f8/0x3120 br_dev_queue_push_xmit+0x120/0x4a8 __br_forward+0xe4/0x2b0 deliver_clone+0x5c/0xd0 br_flood+0x398/0x580 br_dev_xmit+0x454/0x9f8 dev_hard_start_xmit+0x160/0x5a8 __dev_queue_xmit+0x6f8/0x3120 ip6_finish_output2+0xc28/0x1b60 __ip6_finish_output+0x38c/0x638 ip6_output+0x1b4/0x338 ip6_local_out+0x7c/0xa8 ip6_send_skb+0x7c/0x1b0 ip6_push_pending_frames+0x94/0xd0 rawv6_sendmsg+0x1a98/0x2898 inet_sendmsg+0x94/0xe0 __sys_sendto+0x1e4/0x308 __arm64_sys_sendto+0xc4/0x140 do_el0_svc+0x110/0x280 el0_svc+0x20/0x60 el0t_64_sync_handler+0x104/0x138 el0t_64_sync+0x154/0x158 To avoid that, empty vif's txq at ieee80211_do_stop() so no packet could be dequeued after ieee80211_do_stop() (new packets cannot be queued because SDATA_STATE_RUNNING is cleared at this point).

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-476 NULL Pointer Dereference
The product dereferences a pointer that it expects to be valid but is NULL.

Metrics

Metrics Score Severity CVSS Vector Source
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) 4.1 To (excluding) 5.4.293

Linux>>Linux_kernel >> Version From (including) 5.5 To (excluding) 5.10.237

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.181

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 6.1.135

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.88

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.12.25

Linux>>Linux_kernel >> Version From (including) 6.13 To (excluding) 6.14.4

Linux>>Linux_kernel >> Version 6.15

Linux>>Linux_kernel >> Version 6.15

References