CVE-2023-54223 : 상세 정보

CVE-2023-54223

9.8
/
긴급
0.03%V4
2025-12-30
12h11 +00:00
Network
2026-10-15
21h41 +00:00
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CVE 설명

net/mlx5e: xsk: Fix invalid buffer access for legacy rq

In the Linux kernel, the following vulnerability has been resolved: net/mlx5e: xsk: Fix invalid buffer access for legacy rq The below crash can be encountered when using xdpsock in rx mode for legacy rq: the buffer gets released in the XDP_REDIRECT path, and then once again in the driver. This fix sets the flag to avoid releasing on the driver side. XSK handling of buffers for legacy rq was relying on the caller to set the skip release flag. But the referenced fix started using fragment counts for pages instead of the skip flag. Crash log: general protection fault, probably for non-canonical address 0xffff8881217e3a: 0000 [#1] SMP CPU: 0 PID: 14 Comm: ksoftirqd/0 Not tainted 6.5.0-rc1+ #31 Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS rel-1.13.0-0-gf21b5a4aeb02-prebuilt.qemu.org 04/01/2014 RIP: 0010:bpf_prog_03b13f331978c78c+0xf/0x28 Code: ... RSP: 0018:ffff88810082fc98 EFLAGS: 00010246 RAX: 0000000000000000 RBX: ffff888138404901 RCX: c0ffffc900027cbc RDX: ffffffffa000b514 RSI: 00ffff8881217e32 RDI: ffff888138404901 RBP: ffff88810082fc98 R08: 0000000000091100 R09: 0000000000000006 R10: 0000000000000800 R11: 0000000000000800 R12: ffffc9000027a000 R13: ffff8881217e2dc0 R14: ffff8881217e2910 R15: ffff8881217e2f00 FS: 0000000000000000(0000) GS:ffff88852c800000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 0000564cb2e2cde0 CR3: 000000010e603004 CR4: 0000000000370eb0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 Call Trace: ? die_addr+0x32/0x80 ? exc_general_protection+0x192/0x390 ? asm_exc_general_protection+0x22/0x30 ? 0xffffffffa000b514 ? bpf_prog_03b13f331978c78c+0xf/0x28 mlx5e_xdp_handle+0x48/0x670 [mlx5_core] ? dev_gro_receive+0x3b5/0x6e0 mlx5e_xsk_skb_from_cqe_linear+0x6e/0x90 [mlx5_core] mlx5e_handle_rx_cqe+0x55/0x100 [mlx5_core] mlx5e_poll_rx_cq+0x87/0x6e0 [mlx5_core] mlx5e_napi_poll+0x45e/0x6b0 [mlx5_core] __napi_poll+0x25/0x1a0 net_rx_action+0x28a/0x300 __do_softirq+0xcd/0x279 ? sort_range+0x20/0x20 run_ksoftirqd+0x1a/0x20 smpboot_thread_fn+0xa2/0x130 kthread+0xc9/0xf0 ? kthread_complete_and_exit+0x20/0x20 ret_from_fork+0x1f/0x30 Modules linked in: mlx5_ib mlx5_core rpcrdma rdma_ucm ib_iser libiscsi scsi_transport_iscsi ib_umad rdma_cm ib_ipoib iw_cm ib_cm ib_uverbs ib_core xt_conntrack xt_MASQUERADE nf_conntrack_netlink nfnetlink xt_addrtype iptable_nat nf_nat br_netfilter overlay zram zsmalloc fuse [last unloaded: mlx5_core] ---[ end trace 0000000000000000 ]---

CVE 정보

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V3.1 9.8 CRITICAL CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/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.

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.

High

There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the impacted component. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to 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.

참고 자료