CVE-2022-50171 : 상세 정보

CVE-2022-50171

7.5
/
높음
0.04%V4
2025-06-18
11h03 +00:00
Network
2026-08-04
09h07 +00:00
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CVE 설명

crypto: hisilicon/sec - don't sleep when in softirq

In the Linux kernel, the following vulnerability has been resolved: crypto: hisilicon/sec - don't sleep when in softirq When kunpeng920 encryption driver is used to deencrypt and decrypt packets during the softirq, it is not allowed to use mutex lock. The kernel will report the following error: BUG: scheduling while atomic: swapper/57/0/0x00000300 Call trace: dump_backtrace+0x0/0x1e4 show_stack+0x20/0x2c dump_stack+0xd8/0x140 __schedule_bug+0x68/0x80 __schedule+0x728/0x840 schedule+0x50/0xe0 schedule_preempt_disabled+0x18/0x24 __mutex_lock.constprop.0+0x594/0x5dc __mutex_lock_slowpath+0x1c/0x30 mutex_lock+0x50/0x60 sec_request_init+0x8c/0x1a0 [hisi_sec2] sec_process+0x28/0x1ac [hisi_sec2] sec_skcipher_crypto+0xf4/0x1d4 [hisi_sec2] sec_skcipher_encrypt+0x1c/0x30 [hisi_sec2] crypto_skcipher_encrypt+0x2c/0x40 crypto_authenc_encrypt+0xc8/0xfc [authenc] crypto_aead_encrypt+0x2c/0x40 echainiv_encrypt+0x144/0x1a0 [echainiv] crypto_aead_encrypt+0x2c/0x40 esp_output_tail+0x348/0x5c0 [esp4] esp_output+0x120/0x19c [esp4] xfrm_output_one+0x25c/0x4d4 xfrm_output_resume+0x6c/0x1fc xfrm_output+0xac/0x3c0 xfrm4_output+0x64/0x130 ip_build_and_send_pkt+0x158/0x20c tcp_v4_send_synack+0xdc/0x1f0 tcp_conn_request+0x7d0/0x994 tcp_v4_conn_request+0x58/0x6c tcp_v6_conn_request+0xf0/0x100 tcp_rcv_state_process+0x1cc/0xd60 tcp_v4_do_rcv+0x10c/0x250 tcp_v4_rcv+0xfc4/0x10a4 ip_protocol_deliver_rcu+0xf4/0x200 ip_local_deliver_finish+0x58/0x70 ip_local_deliver+0x68/0x120 ip_sublist_rcv_finish+0x70/0x94 ip_list_rcv_finish.constprop.0+0x17c/0x1d0 ip_sublist_rcv+0x40/0xb0 ip_list_rcv+0x140/0x1dc __netif_receive_skb_list_core+0x154/0x28c __netif_receive_skb_list+0x120/0x1a0 netif_receive_skb_list_internal+0xe4/0x1f0 napi_complete_done+0x70/0x1f0 gro_cell_poll+0x9c/0xb0 napi_poll+0xcc/0x264 net_rx_action+0xd4/0x21c __do_softirq+0x130/0x358 irq_exit+0x11c/0x13c __handle_domain_irq+0x88/0xf0 gic_handle_irq+0x78/0x2c0 el1_irq+0xb8/0x140 arch_cpu_idle+0x18/0x40 default_idle_call+0x5c/0x1c0 cpuidle_idle_call+0x174/0x1b0 do_idle+0xc8/0x160 cpu_startup_entry+0x30/0x11c secondary_start_kernel+0x158/0x1e4 softirq: huh, entered softirq 3 NET_RX 0000000093774ee4 with preempt_count 00000100, exited with fffffe00?

CVE 정보

관련 약점

CWE-ID 약점 이름 출처
CWE Other 정보 없음.

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/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.

Network

The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).

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.

None

The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.

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.

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

EPSS는 취약점이 악용될 가능성을 예측하는 점수 모델입니다.

EPSS 점수

EPSS 모델은 0과 1(0~100%) 사이의 확률 점수를 생성합니다. 점수가 높을수록 취약점이 악용될 가능성이 높습니다.

EPSS 백분위수

백분위수는 EPSS 점수에 따라 CVE의 순위를 매기는 데 사용됩니다. 예를 들어 EPSS 점수 기준 95번째 백분위수의 CVE는 다른 CVE의 95%보다 악용될 가능성이 높습니다.

언급된 제품

구성 0

Linux>>Linux_kernel >> Version 부터 (포함) 5.5 까지 (미포함) 5.10.137

Linux>>Linux_kernel >> Version 부터 (포함) 5.11 까지 (미포함) 5.15.61

Linux>>Linux_kernel >> Version 부터 (포함) 5.16 까지 (미포함) 5.18.18

Linux>>Linux_kernel >> Version 부터 (포함) 5.19 까지 (미포함) 5.19.2

참고 자료