CVE-2023-54060 : 詳細

CVE-2023-54060

8.8
/
高
0.03%V4
2025-12-24
12h23 +00:00
Local
2026-08-04
09h17 +00:00
特定のCVEの通知
特定のCVEの変更情報をいち早くお届けします。
通知を管理する

CVE の説明

iommufd: Set end correctly when doing batch carry

In the Linux kernel, the following vulnerability has been resolved: iommufd: Set end correctly when doing batch carry Even though the test suite covers this it somehow became obscured that this wasn't working. The test iommufd_ioas.mock_domain.access_domain_destory would blow up rarely. end should be set to 1 because this just pushed an item, the carry, to the pfns list. Sometimes the test would blow up with: BUG: kernel NULL pointer dereference, address: 0000000000000000 #PF: supervisor read access in kernel mode #PF: error_code(0x0000) - not-present page PGD 0 P4D 0 Oops: 0000 [#1] SMP CPU: 5 PID: 584 Comm: iommufd Not tainted 6.5.0-rc1-dirty #1236 Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS rel-1.13.0-0-gf21b5a4aeb02-prebuilt.qemu.org 04/01/2014 RIP: 0010:batch_unpin+0xa2/0x100 [iommufd] Code: 17 48 81 fe ff ff 07 00 77 70 48 8b 15 b7 be 97 e2 48 85 d2 74 14 48 8b 14 fa 48 85 d2 74 0b 40 0f b6 f6 48 c1 e6 04 48 01 f2 <48> 8b 3a 48 c1 e0 06 89 ca 48 89 de 48 83 e7 f0 48 01 c7 e8 96 dc RSP: 0018:ffffc90001677a58 EFLAGS: 00010246 RAX: 00007f7e2646f000 RBX: 0000000000000000 RCX: 0000000000000001 RDX: 0000000000000000 RSI: 00000000fefc4c8d RDI: 0000000000fefc4c RBP: ffffc90001677a80 R08: 0000000000000048 R09: 0000000000000200 R10: 0000000000030b98 R11: ffffffff81f3bb40 R12: 0000000000000001 R13: ffff888101f75800 R14: ffffc90001677ad0 R15: 00000000000001fe FS: 00007f9323679740(0000) GS:ffff8881ba540000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 0000000000000000 CR3: 0000000105ede003 CR4: 00000000003706a0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 Call Trace: ? show_regs+0x5c/0x70 ? __die+0x1f/0x60 ? page_fault_oops+0x15d/0x440 ? lock_release+0xbc/0x240 ? exc_page_fault+0x4a4/0x970 ? asm_exc_page_fault+0x27/0x30 ? batch_unpin+0xa2/0x100 [iommufd] ? batch_unpin+0xba/0x100 [iommufd] __iopt_area_unfill_domain+0x198/0x430 [iommufd] ? __mutex_lock+0x8c/0xb80 ? __mutex_lock+0x6aa/0xb80 ? xa_erase+0x28/0x30 ? iopt_table_remove_domain+0x162/0x320 [iommufd] ? lock_release+0xbc/0x240 iopt_area_unfill_domain+0xd/0x10 [iommufd] iopt_table_remove_domain+0x195/0x320 [iommufd] iommufd_hw_pagetable_destroy+0xb3/0x110 [iommufd] iommufd_object_destroy_user+0x8e/0xf0 [iommufd] iommufd_device_detach+0xc5/0x140 [iommufd] iommufd_selftest_destroy+0x1f/0x70 [iommufd] iommufd_object_destroy_user+0x8e/0xf0 [iommufd] iommufd_destroy+0x3a/0x50 [iommufd] iommufd_fops_ioctl+0xfb/0x170 [iommufd] __x64_sys_ioctl+0x40d/0x9a0 do_syscall_64+0x3c/0x80 entry_SYSCALL_64_after_hwframe+0x46/0xb0

CVE の情報

メトリクス

メトリクス スコア 深刻度 CVSS ベクター 出典
V3.1 8.8 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/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.

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.

Changed

An exploited vulnerability can affect resources beyond the security scope managed by the security authority of the vulnerable component. In this case, the vulnerable component and the impacted component are different and managed by different security authorities.

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

EPSSは脆弱性が悪用される可能性を予測するスコアリングモデルです。

EPSSスコア

EPSSモデルは0から1(0〜100%)の確率スコアを算出します。スコアが高いほど、脆弱性が悪用される可能性が高いことを示します。

EPSSパーセンタイル

パーセンタイルはCVEをEPSSスコアで順位付けするために使用されます。例えば、EPSSスコアで95パーセンタイルにあるCVEは、他の95%のCVEよりも悪用される可能性が高いことを意味します。パーセンタイルはCVEのEPSSスコアを他のCVEと比較するために使用されます。

参考資料