CVE-2022-50002 : Detail

CVE-2022-50002

5.5
/
Sedang
0.09%V4
2025-06-18
11h01 +00:00
Memory Corruption
Local
2025-06-18
11h01 +00:00
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Deskripsi CVE

net/mlx5: LAG, fix logic over MLX5_LAG_FLAG_NDEVS_READY

In the Linux kernel, the following vulnerability has been resolved: net/mlx5: LAG, fix logic over MLX5_LAG_FLAG_NDEVS_READY Only set MLX5_LAG_FLAG_NDEVS_READY if both netdevices are registered. Doing so guarantees that both ldev->pf[MLX5_LAG_P0].dev and ldev->pf[MLX5_LAG_P1].dev have valid pointers when MLX5_LAG_FLAG_NDEVS_READY is set. The core issue is asymmetry in setting MLX5_LAG_FLAG_NDEVS_READY and clearing it. Setting it is done wrongly when both ldev->pf[MLX5_LAG_P0].dev and ldev->pf[MLX5_LAG_P1].dev are set; clearing it is done right when either of ldev->pf[i].netdev is cleared. Consider the following scenario: 1. PF0 loads and sets ldev->pf[MLX5_LAG_P0].dev to a valid pointer 2. PF1 loads and sets both ldev->pf[MLX5_LAG_P1].dev and ldev->pf[MLX5_LAG_P1].netdev with valid pointers. This results in MLX5_LAG_FLAG_NDEVS_READY is set. 3. PF0 is unloaded before setting dev->pf[MLX5_LAG_P0].netdev. MLX5_LAG_FLAG_NDEVS_READY remains set. Further execution of mlx5_do_bond() will result in null pointer dereference when calling mlx5_lag_is_multipath() This patch fixes the following call trace actually encountered: [ 1293.475195] BUG: kernel NULL pointer dereference, address: 00000000000009a8 [ 1293.478756] #PF: supervisor read access in kernel mode [ 1293.481320] #PF: error_code(0x0000) - not-present page [ 1293.483686] PGD 0 P4D 0 [ 1293.484434] Oops: 0000 [#1] SMP PTI [ 1293.485377] CPU: 1 PID: 23690 Comm: kworker/u16:2 Not tainted 5.18.0-rc5_for_upstream_min_debug_2022_05_05_10_13 #1 [ 1293.488039] Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS rel-1.13.0-0-gf21b5a4aeb02-prebuilt.qemu.org 04/01/2014 [ 1293.490836] Workqueue: mlx5_lag mlx5_do_bond_work [mlx5_core] [ 1293.492448] RIP: 0010:mlx5_lag_is_multipath+0x5/0x50 [mlx5_core] [ 1293.494044] Code: e8 70 40 ff e0 48 8b 14 24 48 83 05 5c 1a 1b 00 01 e9 19 ff ff ff 48 83 05 47 1a 1b 00 01 eb d7 0f 1f 44 00 00 0f 1f 44 00 00 <48> 8b 87 a8 09 00 00 48 85 c0 74 26 48 83 05 a7 1b 1b 00 01 41 b8 [ 1293.498673] RSP: 0018:ffff88811b2fbe40 EFLAGS: 00010202 [ 1293.500152] RAX: ffff88818a94e1c0 RBX: ffff888165eca6c0 RCX: 0000000000000000 [ 1293.501841] RDX: 0000000000000001 RSI: ffff88818a94e1c0 RDI: 0000000000000000 [ 1293.503585] RBP: 0000000000000000 R08: ffff888119886740 R09: ffff888165eca73c [ 1293.505286] R10: 0000000000000018 R11: 0000000000000018 R12: ffff88818a94e1c0 [ 1293.506979] R13: ffff888112729800 R14: 0000000000000000 R15: ffff888112729858 [ 1293.508753] FS: 0000000000000000(0000) GS:ffff88852cc40000(0000) knlGS:0000000000000000 [ 1293.510782] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [ 1293.512265] CR2: 00000000000009a8 CR3: 00000001032d4002 CR4: 0000000000370ea0 [ 1293.514001] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 [ 1293.515806] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400

Informasi CVE

Kelemahan Terkait

CWE-ID Nama Kelemahan Sumber
CWE-476 NULL Pointer Dereference
The product dereferences a pointer that it expects to be valid but is NULL.

Metrik

Metrik Skor Tingkat keparahan CVSS Vektor Sumber
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 adalah model penilaian yang memprediksi kemungkinan suatu kerentanan dieksploitasi.

Skor EPSS

Model EPSS menghasilkan skor probabilitas antara 0 dan 1 (0 hingga 100%). Semakin tinggi skor, semakin besar probabilitas bahwa suatu kerentanan akan dieksploitasi.

Persentil EPSS

Persentil digunakan untuk meranking CVE berdasarkan skor EPSS mereka. Misalnya, CVE di persentil ke-95 berdasarkan skor EPSS-nya lebih mungkin dieksploitasi daripada 95% CVE lainnya. Dengan demikian, persentil digunakan untuk membandingkan skor EPSS suatu CVE dengan CVE lainnya.

Produk yang Disebutkan

Konfigurasi 0

Linux>>Linux_kernel >> Version Dari (termasuk) 5.14 Hingga (tidak termasuk) 5.19.6

Linux>>Linux_kernel >> Version 6.0

Linux>>Linux_kernel >> Version 6.0

Referensi