CVE-2025-38219 : Detail

CVE-2025-38219

5.5
/
Medium
0.11%V4
Local
2025-07-04
13h37 +00:00
2025-11-03
17h35 +00:00
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CVE Descriptions

f2fs: prevent kernel warning due to negative i_nlink from corrupted image

In the Linux kernel, the following vulnerability has been resolved: f2fs: prevent kernel warning due to negative i_nlink from corrupted image WARNING: CPU: 1 PID: 9426 at fs/inode.c:417 drop_nlink+0xac/0xd0 home/cc/linux/fs/inode.c:417 Modules linked in: CPU: 1 UID: 0 PID: 9426 Comm: syz-executor568 Not tainted 6.14.0-12627-g94d471a4f428 #2 PREEMPT(full) Hardware name: QEMU Standard PC (i440FX + PIIX, 1996), BIOS 1.13.0-1ubuntu1.1 04/01/2014 RIP: 0010:drop_nlink+0xac/0xd0 home/cc/linux/fs/inode.c:417 Code: 48 8b 5d 28 be 08 00 00 00 48 8d bb 70 07 00 00 e8 f9 67 e6 ff f0 48 ff 83 70 07 00 00 5b 5d e9 9a 12 82 ff e8 95 12 82 ff 90 <0f> 0b 90 c7 45 48 ff ff ff ff 5b 5d e9 83 12 82 ff e8 fe 5f e6 ff RSP: 0018:ffffc900026b7c28 EFLAGS: 00010293 RAX: 0000000000000000 RBX: 0000000000000000 RCX: ffffffff8239710f RDX: ffff888041345a00 RSI: ffffffff8239717b RDI: 0000000000000005 RBP: ffff888054509ad0 R08: 0000000000000005 R09: 0000000000000000 R10: 0000000000000000 R11: ffffffff9ab36f08 R12: ffff88804bb40000 R13: ffff8880545091e0 R14: 0000000000008000 R15: ffff8880545091e0 FS: 000055555d0c5880(0000) GS:ffff8880eb3e3000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007f915c55b178 CR3: 0000000050d20000 CR4: 0000000000352ef0 Call Trace: f2fs_i_links_write home/cc/linux/fs/f2fs/f2fs.h:3194 [inline] f2fs_drop_nlink+0xd1/0x3c0 home/cc/linux/fs/f2fs/dir.c:845 f2fs_delete_entry+0x542/0x1450 home/cc/linux/fs/f2fs/dir.c:909 f2fs_unlink+0x45c/0x890 home/cc/linux/fs/f2fs/namei.c:581 vfs_unlink+0x2fb/0x9b0 home/cc/linux/fs/namei.c:4544 do_unlinkat+0x4c5/0x6a0 home/cc/linux/fs/namei.c:4608 __do_sys_unlink home/cc/linux/fs/namei.c:4654 [inline] __se_sys_unlink home/cc/linux/fs/namei.c:4652 [inline] __x64_sys_unlink+0xc5/0x110 home/cc/linux/fs/namei.c:4652 do_syscall_x64 home/cc/linux/arch/x86/entry/syscall_64.c:63 [inline] do_syscall_64+0xc7/0x250 home/cc/linux/arch/x86/entry/syscall_64.c:94 entry_SYSCALL_64_after_hwframe+0x77/0x7f RIP: 0033:0x7fb3d092324b Code: 73 01 c3 48 c7 c1 c0 ff ff ff f7 d8 64 89 01 48 83 c8 ff c3 66 2e 0f 1f 84 00 00 00 00 00 90 f3 0f 1e fa b8 57 00 00 00 0f 05 <48> 3d 01 f0 ff ff 73 01 c3 48 c7 c1 c0 ff ff ff f7 d8 64 89 01 48 RSP: 002b:00007ffdc232d938 EFLAGS: 00000206 ORIG_RAX: 0000000000000057 RAX: ffffffffffffffda RBX: 0000000000000000 RCX: 00007fb3d092324b RDX: 00007ffdc232d960 RSI: 00007ffdc232d960 RDI: 00007ffdc232d9f0 RBP: 00007ffdc232d9f0 R08: 0000000000000001 R09: 00007ffdc232d7c0 R10: 00000000fffffffd R11: 0000000000000206 R12: 00007ffdc232eaf0 R13: 000055555d0cebb0 R14: 00007ffdc232d958 R15: 0000000000000001

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE Other No informations.

Metrics

Metrics Score Severity CVSS Vector 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 is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 3.8 To (excluding) 5.4.295

Linux>>Linux_kernel >> Version From (including) 5.5 To (excluding) 5.10.239

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.186

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 6.1.142

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.95

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.12.35

Linux>>Linux_kernel >> Version From (including) 6.13 To (excluding) 6.15.4

Configuraton 0

Debian>>Debian_linux >> Version 11.0

References