CVE-2022-50270 : 상세 정보

CVE-2022-50270

7.1
/
높음
0.03%V4
2025-09-15
14h21 +00:00
Local
2026-08-04
09h08 +00:00
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CVE 설명

f2fs: fix the assign logic of iocb

In the Linux kernel, the following vulnerability has been resolved: f2fs: fix the assign logic of iocb commit 18ae8d12991b ("f2fs: show more DIO information in tracepoint") introduces iocb field in 'f2fs_direct_IO_enter' trace event And it only assigns the pointer and later it accesses its field in trace print log. Unable to handle kernel paging request at virtual address ffffffc04cef3d30 Mem abort info: ESR = 0x96000007 EC = 0x25: DABT (current EL), IL = 32 bits pc : trace_raw_output_f2fs_direct_IO_enter+0x54/0xa4 lr : trace_raw_output_f2fs_direct_IO_enter+0x2c/0xa4 sp : ffffffc0443cbbd0 x29: ffffffc0443cbbf0 x28: ffffff8935b120d0 x27: ffffff8935b12108 x26: ffffff8935b120f0 x25: ffffff8935b12100 x24: ffffff8935b110c0 x23: ffffff8935b10000 x22: ffffff88859a936c x21: ffffff88859a936c x20: ffffff8935b110c0 x19: ffffff8935b10000 x18: ffffffc03b195060 x17: ffffff8935b11e76 x16: 00000000000000cc x15: ffffffef855c4f2c x14: 0000000000000001 x13: 000000000000004e x12: ffff0000ffffff00 x11: ffffffef86c350d0 x10: 00000000000010c0 x9 : 000000000fe0002c x8 : ffffffc04cef3d28 x7 : 7f7f7f7f7f7f7f7f x6 : 0000000002000000 x5 : ffffff8935b11e9a x4 : 0000000000006250 x3 : ffff0a00ffffff04 x2 : 0000000000000002 x1 : ffffffef86a0a31f x0 : ffffff8935b10000 Call trace: trace_raw_output_f2fs_direct_IO_enter+0x54/0xa4 print_trace_fmt+0x9c/0x138 print_trace_line+0x154/0x254 tracing_read_pipe+0x21c/0x380 vfs_read+0x108/0x3ac ksys_read+0x7c/0xec __arm64_sys_read+0x20/0x30 invoke_syscall+0x60/0x150 el0_svc_common.llvm.1237943816091755067+0xb8/0xf8 do_el0_svc+0x28/0xa0 Fix it by copying the required variables for printing and while at it fix the similar issue at some other places in the same file.

CVE 정보

관련 약점

CWE-ID 약점 이름 출처
CWE Other 정보 없음.

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V3.1 7.1 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/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.

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.

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.

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) 5.17 까지 (미포함) 6.0.16

Linux>>Linux_kernel >> Version 부터 (포함) 6.1 까지 (미포함) 6.1.2

참고 자료