CVE-2021-47271 : Détail

CVE-2021-47271

5.5
/
Moyen
0.03%V4
Local
2024-05-21
14h20 +00:00
2024-12-19
07h38 +00:00
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Descriptions du CVE

usb: cdnsp: Fix deadlock issue in cdnsp_thread_irq_handler

In the Linux kernel, the following vulnerability has been resolved: usb: cdnsp: Fix deadlock issue in cdnsp_thread_irq_handler Patch fixes the following critical issue caused by deadlock which has been detected during testing NCM class: smp: csd: Detected non-responsive CSD lock (#1) on CPU#0 smp: csd: CSD lock (#1) unresponsive. .... RIP: 0010:native_queued_spin_lock_slowpath+0x61/0x1d0 RSP: 0018:ffffbc494011cde0 EFLAGS: 00000002 RAX: 0000000000000101 RBX: ffff9ee8116b4a68 RCX: 0000000000000000 RDX: 0000000000000000 RSI: 0000000000000000 RDI: ffff9ee8116b4658 RBP: ffffbc494011cde0 R08: 0000000000000001 R09: 0000000000000000 R10: ffff9ee8116b4670 R11: 0000000000000000 R12: ffff9ee8116b4658 R13: ffff9ee8116b4670 R14: 0000000000000246 R15: ffff9ee8116b4658 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007f7bcc41a830 CR3: 000000007a612003 CR4: 00000000001706e0 Call Trace: do_raw_spin_lock+0xc0/0xd0 _raw_spin_lock_irqsave+0x95/0xa0 cdnsp_gadget_ep_queue.cold+0x88/0x107 [cdnsp_udc_pci] usb_ep_queue+0x35/0x110 eth_start_xmit+0x220/0x3d0 [u_ether] ncm_tx_timeout+0x34/0x40 [usb_f_ncm] ? ncm_free_inst+0x50/0x50 [usb_f_ncm] __hrtimer_run_queues+0xac/0x440 hrtimer_run_softirq+0x8c/0xb0 __do_softirq+0xcf/0x428 asm_call_irq_on_stack+0x12/0x20 do_softirq_own_stack+0x61/0x70 irq_exit_rcu+0xc1/0xd0 sysvec_apic_timer_interrupt+0x52/0xb0 asm_sysvec_apic_timer_interrupt+0x12/0x20 RIP: 0010:do_raw_spin_trylock+0x18/0x40 RSP: 0018:ffffbc494138bda8 EFLAGS: 00000246 RAX: 0000000000000000 RBX: ffff9ee8116b4658 RCX: 0000000000000000 RDX: 0000000000000001 RSI: 0000000000000000 RDI: ffff9ee8116b4658 RBP: ffffbc494138bda8 R08: 0000000000000001 R09: 0000000000000000 R10: ffff9ee8116b4670 R11: 0000000000000000 R12: ffff9ee8116b4658 R13: ffff9ee8116b4670 R14: ffff9ee7b5c73d80 R15: ffff9ee8116b4000 _raw_spin_lock+0x3d/0x70 ? cdnsp_thread_irq_handler.cold+0x32/0x112c [cdnsp_udc_pci] cdnsp_thread_irq_handler.cold+0x32/0x112c [cdnsp_udc_pci] ? cdnsp_remove_request+0x1f0/0x1f0 [cdnsp_udc_pci] ? cdnsp_thread_irq_handler+0x5/0xa0 [cdnsp_udc_pci] ? irq_thread+0xa0/0x1c0 irq_thread_fn+0x28/0x60 irq_thread+0x105/0x1c0 ? __kthread_parkme+0x42/0x90 ? irq_forced_thread_fn+0x90/0x90 ? wake_threads_waitq+0x30/0x30 ? irq_thread_check_affinity+0xe0/0xe0 kthread+0x12a/0x160 ? kthread_park+0x90/0x90 ret_from_fork+0x22/0x30 The root cause of issue is spin_lock/spin_unlock instruction instead spin_lock_irqsave/spin_lock_irqrestore in cdnsp_thread_irq_handler function.

Informations du CVE

Faiblesses connexes

CWE-ID Nom de la faiblesse Source
CWE-667 Improper Locking
The product does not properly acquire or release a lock on a resource, leading to unexpected resource state changes and behaviors.

Métriques

Métriques Score Gravité CVSS Vecteur 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.

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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.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 5.12 To (excluding) 5.12.11

Linux>>Linux_kernel >> Version 5.13

Linux>>Linux_kernel >> Version 5.13

Linux>>Linux_kernel >> Version 5.13

Linux>>Linux_kernel >> Version 5.13

Linux>>Linux_kernel >> Version 5.13

Références