CVE-2025-22020 : Détail

CVE-2025-22020

7.8
/
Haute
Memory Corruption
0.04%V4
Local
2025-04-16
10h20 +00:00
2025-05-04
07h27 +00:00
CVE.org
NVD
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Descriptions du CVE

memstick: rtsx_usb_ms: Fix slab-use-after-free in rtsx_usb_ms_drv_remove

In the Linux kernel, the following vulnerability has been resolved: memstick: rtsx_usb_ms: Fix slab-use-after-free in rtsx_usb_ms_drv_remove This fixes the following crash: ================================================================== BUG: KASAN: slab-use-after-free in rtsx_usb_ms_poll_card+0x159/0x200 [rtsx_usb_ms] Read of size 8 at addr ffff888136335380 by task kworker/6:0/140241 CPU: 6 UID: 0 PID: 140241 Comm: kworker/6:0 Kdump: loaded Tainted: G E 6.14.0-rc6+ #1 Tainted: [E]=UNSIGNED_MODULE Hardware name: LENOVO 30FNA1V7CW/1057, BIOS S0EKT54A 07/01/2024 Workqueue: events rtsx_usb_ms_poll_card [rtsx_usb_ms] Call Trace: dump_stack_lvl+0x51/0x70 print_address_description.constprop.0+0x27/0x320 ? rtsx_usb_ms_poll_card+0x159/0x200 [rtsx_usb_ms] print_report+0x3e/0x70 kasan_report+0xab/0xe0 ? rtsx_usb_ms_poll_card+0x159/0x200 [rtsx_usb_ms] rtsx_usb_ms_poll_card+0x159/0x200 [rtsx_usb_ms] ? __pfx_rtsx_usb_ms_poll_card+0x10/0x10 [rtsx_usb_ms] ? __pfx___schedule+0x10/0x10 ? kick_pool+0x3b/0x270 process_one_work+0x357/0x660 worker_thread+0x390/0x4c0 ? __pfx_worker_thread+0x10/0x10 kthread+0x190/0x1d0 ? __pfx_kthread+0x10/0x10 ret_from_fork+0x2d/0x50 ? __pfx_kthread+0x10/0x10 ret_from_fork_asm+0x1a/0x30 Allocated by task 161446: kasan_save_stack+0x20/0x40 kasan_save_track+0x10/0x30 __kasan_kmalloc+0x7b/0x90 __kmalloc_noprof+0x1a7/0x470 memstick_alloc_host+0x1f/0xe0 [memstick] rtsx_usb_ms_drv_probe+0x47/0x320 [rtsx_usb_ms] platform_probe+0x60/0xe0 call_driver_probe+0x35/0x120 really_probe+0x123/0x410 __driver_probe_device+0xc7/0x1e0 driver_probe_device+0x49/0xf0 __device_attach_driver+0xc6/0x160 bus_for_each_drv+0xe4/0x160 __device_attach+0x13a/0x2b0 bus_probe_device+0xbd/0xd0 device_add+0x4a5/0x760 platform_device_add+0x189/0x370 mfd_add_device+0x587/0x5e0 mfd_add_devices+0xb1/0x130 rtsx_usb_probe+0x28e/0x2e0 [rtsx_usb] usb_probe_interface+0x15c/0x460 call_driver_probe+0x35/0x120 really_probe+0x123/0x410 __driver_probe_device+0xc7/0x1e0 driver_probe_device+0x49/0xf0 __device_attach_driver+0xc6/0x160 bus_for_each_drv+0xe4/0x160 __device_attach+0x13a/0x2b0 rebind_marked_interfaces.isra.0+0xcc/0x110 usb_reset_device+0x352/0x410 usbdev_do_ioctl+0xe5c/0x1860 usbdev_ioctl+0xa/0x20 __x64_sys_ioctl+0xc5/0xf0 do_syscall_64+0x59/0x170 entry_SYSCALL_64_after_hwframe+0x76/0x7e Freed by task 161506: kasan_save_stack+0x20/0x40 kasan_save_track+0x10/0x30 kasan_save_free_info+0x36/0x60 __kasan_slab_free+0x34/0x50 kfree+0x1fd/0x3b0 device_release+0x56/0xf0 kobject_cleanup+0x73/0x1c0 rtsx_usb_ms_drv_remove+0x13d/0x220 [rtsx_usb_ms] platform_remove+0x2f/0x50 device_release_driver_internal+0x24b/0x2e0 bus_remove_device+0x124/0x1d0 device_del+0x239/0x530 platform_device_del.part.0+0x19/0xe0 platform_device_unregister+0x1c/0x40 mfd_remove_devices_fn+0x167/0x170 device_for_each_child_reverse+0xc9/0x130 mfd_remove_devices+0x6e/0xa0 rtsx_usb_disconnect+0x2e/0xd0 [rtsx_usb] usb_unbind_interface+0xf3/0x3f0 device_release_driver_internal+0x24b/0x2e0 proc_disconnect_claim+0x13d/0x220 usbdev_do_ioctl+0xb5e/0x1860 usbdev_ioctl+0xa/0x20 __x64_sys_ioctl+0xc5/0xf0 do_syscall_64+0x59/0x170 entry_SYSCALL_64_after_hwframe+0x76/0x7e Last potentially related work creation: kasan_save_stack+0x20/0x40 kasan_record_aux_stack+0x85/0x90 insert_work+0x29/0x100 __queue_work+0x34a/0x540 call_timer_fn+0x2a/0x160 expire_timers+0x5f/0x1f0 __run_timer_base.part.0+0x1b6/0x1e0 run_timer_softirq+0x8b/0xe0 handle_softirqs+0xf9/0x360 __irq_exit_rcu+0x114/0x130 sysvec_apic_timer_interrupt+0x72/0x90 asm_sysvec_apic_timer_interrupt+0x16/0x20 Second to last potentially related work creation: kasan_save_stack+0x20/0x40 kasan_record_aux_stack+0x85/0x90 insert_work+0x29/0x100 __queue_work+0x34a/0x540 call_timer_fn+0x2a/0x160 expire_timers+0x5f/0x1f0 __run_timer_base.part.0+0x1b6/0x1e0 run_timer_softirq+0x8b/0xe0 handle_softirqs+0xf9/0x ---truncated---

Informations du CVE

Faiblesses connexes

CWE-ID Nom de la faiblesse Source
CWE-416 Use After Free
The product reuses or references memory after it has been freed. At some point afterward, the memory may be allocated again and saved in another pointer, while the original pointer references a location somewhere within the new allocation. Any operations using the original pointer are no longer valid because the memory "belongs" to the code that operates on the new pointer.

Métriques

Métriques Score Gravité CVSS Vecteur 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.

 nvd@nist.gov

EPSS

EPSS est un modèle de notation qui prédit la probabilité qu'une vulnérabilité soit exploitée.

Score EPSS

Le modèle EPSS produit un score de probabilité compris entre 0 et 1 (0 et 100 %). Plus la note est élevée, plus la probabilité qu'une vulnérabilité soit exploitée est grande.

Percentile EPSS

Le percentile est utilisé pour classer les CVE en fonction de leur score EPSS. Par exemple, une CVE dans le 95e percentile selon son score EPSS est plus susceptible d'être exploitée que 95 % des autres CVE. Ainsi, le percentile sert à comparer le score EPSS d'une CVE par rapport à d'autres CVE.
EPSS First.org

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 5.0 To (excluding) 5.4.292

Linux>>Linux_kernel >> Version From (including) 5.5 To (excluding) 5.10.236

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.180

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 6.1.133

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.86

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.12.22

Linux>>Linux_kernel >> Version From (including) 6.13 To (excluding) 6.13.10

Linux>>Linux_kernel >> Version From (including) 6.14 To (excluding) 6.14.1

Références

Les informations affichées sur CVE Find proviennent de plusieurs sources de référence rigoureusement sélectionnées. Les données CVE sont fournies par MITRE Corporation et la National Vulnerability Database (NVD). Le catalogue des vulnérabilités activement exploitées (KEV) provient de la Cybersecurity and Infrastructure Security Agency (CISA), tandis que les scores EPSS sont issus de FIRST.org. Enfin, les données relatives aux faiblesses logicielles (CWE) et aux schémas d'attaque courants (CAPEC) sont maintenues par MITRE Corporation, et les informations sur les configurations logicielles et matérielles (CPE) proviennent du NVD.