CVE-2023-53644:详情

CVE-2023-53644

5.5
/
中危
0.02%V4
2025-10-07
16h15 +00:00
Local
2026-02-03
22h29 +00:00
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CVE 描述

In the Linux kernel, the following vulnerability has been resolved: media: radio-shark: Add endpoint checks The syzbot fuzzer was able to provoke a WARNING from the radio-shark2 driver: ------------[ cut here ]------------ usb 1-1: BOGUS urb xfer, pipe 1 != type 3 WARNING: CPU: 0 PID: 3271 at drivers/usb/core/urb.c:504 usb_submit_urb+0xed2/0x1880 drivers/usb/core/urb.c:504 Modules linked in: CPU: 0 PID: 3271 Comm: kworker/0:3 Not tainted 6.1.0-rc4-syzkaller #0 Hardware name: Google Google Compute Engine/Google Compute Engine, BIOS Google 10/26/2022 Workqueue: usb_hub_wq hub_event RIP: 0010:usb_submit_urb+0xed2/0x1880 drivers/usb/core/urb.c:504 Code: 7c 24 18 e8 00 36 ea fb 48 8b 7c 24 18 e8 36 1c 02 ff 41 89 d8 44 89 e1 4c 89 ea 48 89 c6 48 c7 c7 a0 b6 90 8a e8 9a 29 b8 03 <0f> 0b e9 58 f8 ff ff e8 d2 35 ea fb 48 81 c5 c0 05 00 00 e9 84 f7 RSP: 0018:ffffc90003876dd0 EFLAGS: 00010282 RAX: 0000000000000000 RBX: 0000000000000003 RCX: 0000000000000000 RDX: ffff8880750b0040 RSI: ffffffff816152b8 RDI: fffff5200070edac RBP: ffff8880172d81e0 R08: 0000000000000005 R09: 0000000000000000 R10: 0000000080000000 R11: 0000000000000000 R12: 0000000000000001 R13: ffff8880285c5040 R14: 0000000000000002 R15: ffff888017158200 FS: 0000000000000000(0000) GS:ffff8880b9a00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007ffe03235b90 CR3: 000000000bc8e000 CR4: 00000000003506f0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 Call Trace: usb_start_wait_urb+0x101/0x4b0 drivers/usb/core/message.c:58 usb_bulk_msg+0x226/0x550 drivers/usb/core/message.c:387 shark_write_reg+0x1ff/0x2e0 drivers/media/radio/radio-shark2.c:88 ... The problem was caused by the fact that the driver does not check whether the endpoints it uses are actually present and have the appropriate types. This can be fixed by adding a simple check of these endpoints (and similarly for the radio-shark driver).

CVE 信息

相关弱点

CWE-ID 弱点名称 来源
CWE Other 暂无信息。

指标

指标 评分 严重程度 CVSS 向量 来源
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 是一种预测漏洞被利用可能性的评分模型。

EPSS 评分

EPSS 模型生成一个介于 0 到 1(即 0% 到 100%)之间的概率评分。评分越高,漏洞被利用的可能性越大。

EPSS 百分位

百分位用于根据 EPSS 评分对 CVE 进行排名。例如,EPSS 百分位为第 95 的 CVE,其被利用的可能性高于 95% 的其他 CVE。因此,百分位可用于比较不同 CVE 的 EPSS 评分。

相关产品

配置 0

Linux>>Linux_kernel >> Version 从(含) 3.6 至(不含) 4.14.316

Linux>>Linux_kernel >> Version 从(含) 4.15 至(不含) 4.19.284

Linux>>Linux_kernel >> Version 从(含) 4.20 至(不含) 5.4.244

Linux>>Linux_kernel >> Version 从(含) 5.5 至(不含) 5.10.181

Linux>>Linux_kernel >> Version 从(含) 5.11 至(不含) 5.15.114

Linux>>Linux_kernel >> Version 从(含) 5.16 至(不含) 6.1.31

Linux>>Linux_kernel >> Version 从(含) 6.2 至(不含) 6.3.5

参考资料