CVE-2023-52742:詳細資料

CVE-2023-52742

5.5
/
中危
0.01%V4
2024-05-21
16h15 +00:00
Local
2025-09-25
16h47 +00:00
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CVE 描述

In the Linux kernel, the following vulnerability has been resolved: net: USB: Fix wrong-direction WARNING in plusb.c The syzbot fuzzer detected a bug in the plusb network driver: A zero-length control-OUT transfer was treated as a read instead of a write. In modern kernels this error provokes a WARNING: usb 1-1: BOGUS control dir, pipe 80000280 doesn't match bRequestType c0 WARNING: CPU: 0 PID: 4645 at drivers/usb/core/urb.c:411 usb_submit_urb+0x14a7/0x1880 drivers/usb/core/urb.c:411 Modules linked in: CPU: 1 PID: 4645 Comm: dhcpcd Not tainted 6.2.0-rc6-syzkaller-00050-g9f266ccaa2f5 #0 Hardware name: Google Google Compute Engine/Google Compute Engine, BIOS Google 01/12/2023 RIP: 0010:usb_submit_urb+0x14a7/0x1880 drivers/usb/core/urb.c:411 ... Call Trace: usb_start_wait_urb+0x101/0x4b0 drivers/usb/core/message.c:58 usb_internal_control_msg drivers/usb/core/message.c:102 [inline] usb_control_msg+0x320/0x4a0 drivers/usb/core/message.c:153 __usbnet_read_cmd+0xb9/0x390 drivers/net/usb/usbnet.c:2010 usbnet_read_cmd+0x96/0xf0 drivers/net/usb/usbnet.c:2068 pl_vendor_req drivers/net/usb/plusb.c:60 [inline] pl_set_QuickLink_features drivers/net/usb/plusb.c:75 [inline] pl_reset+0x2f/0xf0 drivers/net/usb/plusb.c:85 usbnet_open+0xcc/0x5d0 drivers/net/usb/usbnet.c:889 __dev_open+0x297/0x4d0 net/core/dev.c:1417 __dev_change_flags+0x587/0x750 net/core/dev.c:8530 dev_change_flags+0x97/0x170 net/core/dev.c:8602 devinet_ioctl+0x15a2/0x1d70 net/ipv4/devinet.c:1147 inet_ioctl+0x33f/0x380 net/ipv4/af_inet.c:979 sock_do_ioctl+0xcc/0x230 net/socket.c:1169 sock_ioctl+0x1f8/0x680 net/socket.c:1286 vfs_ioctl fs/ioctl.c:51 [inline] __do_sys_ioctl fs/ioctl.c:870 [inline] __se_sys_ioctl fs/ioctl.c:856 [inline] __x64_sys_ioctl+0x197/0x210 fs/ioctl.c:856 do_syscall_x64 arch/x86/entry/common.c:50 [inline] do_syscall_64+0x39/0xb0 arch/x86/entry/common.c:80 entry_SYSCALL_64_after_hwframe+0x63/0xcd The fix is to call usbnet_write_cmd() instead of usbnet_read_cmd() and remove the USB_DIR_IN flag.

CVE 資訊

相關弱點

CWE-ID 弱點名稱 來源
CWE-670 Always-Incorrect Control Flow Implementation
The code contains a control flow path that does not reflect the algorithm that the path is intended to implement, leading to incorrect behavior any time this path is navigated.

指標

指標 評分 嚴重程度 CVSS 向量 來源
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 是一種預測漏洞被利用可能性的評分模型。

EPSS 評分

EPSS 模型產生介於 0 到 1(0% 到 100%)之間的概率分數。分數越高,漏洞被利用的概率越大。

EPSS 百分位數

百分位數用於根據 EPSS 分數對 CVE 進行排名。例如,EPSS 評分在第 95 百分位的 CVE 比 95% 的其他 CVE 更有可能被利用。因此,百分位數用於比較某 CVE 的 EPSS 分數與其他 CVE 的相對位置。

相關產品

設定 0

Linux>>Linux_kernel >> Version 從(含) 2.6.14 至(不含) 4.14.306

Linux>>Linux_kernel >> Version 從(含) 4.15 至(不含) 4.19.273

Linux>>Linux_kernel >> Version 從(含) 4.20 至(不含) 5.4.232

Linux>>Linux_kernel >> Version 從(含) 5.5 至(不含) 5.10.168

Linux>>Linux_kernel >> Version 從(含) 5.11 至(不含) 5.15.94

Linux>>Linux_kernel >> Version 從(含) 5.16 至(不含) 6.1.12

Linux>>Linux_kernel >> Version 6.2

Linux>>Linux_kernel >> Version 6.2

Linux>>Linux_kernel >> Version 6.2

Linux>>Linux_kernel >> Version 6.2

Linux>>Linux_kernel >> Version 6.2

Linux>>Linux_kernel >> Version 6.2

Linux>>Linux_kernel >> Version 6.2

參考資料