CVE-2022-49364 : Détail

CVE-2022-49364

5.5
/
Moyen
0.11%V4
Local
2025-02-26
02h11 +00:00
2026-08-15
12h22 +00:00
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Descriptions du CVE

f2fs: fix to clear dirty inode in f2fs_evict_inode()

In the Linux kernel, the following vulnerability has been resolved: f2fs: fix to clear dirty inode in f2fs_evict_inode() As Yanming reported in bugzilla: https://bugzilla.kernel.org/show_bug.cgi?id=215904 The kernel message is shown below: kernel BUG at fs/f2fs/inode.c:825! Call Trace: evict+0x282/0x4e0 __dentry_kill+0x2b2/0x4d0 shrink_dentry_list+0x17c/0x4f0 shrink_dcache_parent+0x143/0x1e0 do_one_tree+0x9/0x30 shrink_dcache_for_umount+0x51/0x120 generic_shutdown_super+0x5c/0x3a0 kill_block_super+0x90/0xd0 kill_f2fs_super+0x225/0x310 deactivate_locked_super+0x78/0xc0 cleanup_mnt+0x2b7/0x480 task_work_run+0xc8/0x150 exit_to_user_mode_prepare+0x14a/0x150 syscall_exit_to_user_mode+0x1d/0x40 do_syscall_64+0x48/0x90 The root cause is: inode node and dnode node share the same nid, so during f2fs_evict_inode(), dnode node truncation will invalidate its NAT entry, so when truncating inode node, it fails due to invalid NAT entry, result in inode is still marked as dirty, fix this issue by clearing dirty for inode and setting SBI_NEED_FSCK flag in filesystem. output from dump.f2fs: [print_node_info: 354] Node ID [0xf:15] is inode i_nid[0] [0x f : 15]

Informations du CVE

Faiblesses connexes

CWE-ID Nom de la faiblesse Source
CWE Other No informations.

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.

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.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 3.8 To (excluding) 5.4.198

Linux>>Linux_kernel >> Version From (including) 5.5 To (excluding) 5.10.121

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.46

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 5.17.14

Linux>>Linux_kernel >> Version From (including) 5.18 To (excluding) 5.18.3

Références