CVE-2024-41097 Detail

CVE-2024-41097

Score / Severity

5.5

Medium

EPSS

0.04%V3

Vector

Local

Published

2024-07-29
15h48 +00:00

Modified

2024-12-19
09h11 +00:00

Official links

CVE.org

NVD

Notifications for a CVE

Stay informed of any changes for a specific CVE.

Notifications manage

List of Notifications

Notifications for a CVE

Stay informed of any changes for a specific CVE.

Criteria applied when sending the alert: compared with the last alert sent + differences in CISA, EPSS, CVSS, CWE, Solutions, CPE.

Parameters

You can specify a title that will be retrieved in the alerts that will be sent out.

Specified here a CVE ID as CVE-2025-1234

Planning

Month

Next run calculation

Day

Weekday

Hour

Minute

Creation date

Last execution

Next execution

Functionality requiring a connection

This feature, which allows you to receive alerts, is only active when you are logged into your account.

CVE Descriptions

usb: atm: cxacru: fix endpoint checking in cxacru_bind()

In the Linux kernel, the following vulnerability has been resolved: usb: atm: cxacru: fix endpoint checking in cxacru_bind() Syzbot is still reporting quite an old issue [1] that occurs due to incomplete checking of present usb endpoints. As such, wrong endpoints types may be used at urb sumbitting stage which in turn triggers a warning in usb_submit_urb(). Fix the issue by verifying that required endpoint types are present for both in and out endpoints, taking into account cmd endpoint type. Unfortunately, this patch has not been tested on real hardware. [1] Syzbot report: usb 1-1: BOGUS urb xfer, pipe 1 != type 3 WARNING: CPU: 0 PID: 8667 at drivers/usb/core/urb.c:502 usb_submit_urb+0xed2/0x18a0 drivers/usb/core/urb.c:502 Modules linked in: CPU: 0 PID: 8667 Comm: kworker/0:4 Not tainted 5.14.0-rc4-syzkaller #0 Hardware name: Google Google Compute Engine/Google Compute Engine, BIOS Google 01/01/2011 Workqueue: usb_hub_wq hub_event RIP: 0010:usb_submit_urb+0xed2/0x18a0 drivers/usb/core/urb.c:502 ... Call Trace: cxacru_cm+0x3c0/0x8e0 drivers/usb/atm/cxacru.c:649 cxacru_card_status+0x22/0xd0 drivers/usb/atm/cxacru.c:760 cxacru_bind+0x7ac/0x11a0 drivers/usb/atm/cxacru.c:1209 usbatm_usb_probe+0x321/0x1ae0 drivers/usb/atm/usbatm.c:1055 cxacru_usb_probe+0xdf/0x1e0 drivers/usb/atm/cxacru.c:1363 usb_probe_interface+0x315/0x7f0 drivers/usb/core/driver.c:396 call_driver_probe drivers/base/dd.c:517 [inline] really_probe+0x23c/0xcd0 drivers/base/dd.c:595 __driver_probe_device+0x338/0x4d0 drivers/base/dd.c:747 driver_probe_device+0x4c/0x1a0 drivers/base/dd.c:777 __device_attach_driver+0x20b/0x2f0 drivers/base/dd.c:894 bus_for_each_drv+0x15f/0x1e0 drivers/base/bus.c:427 __device_attach+0x228/0x4a0 drivers/base/dd.c:965 bus_probe_device+0x1e4/0x290 drivers/base/bus.c:487 device_add+0xc2f/0x2180 drivers/base/core.c:3354 usb_set_configuration+0x113a/0x1910 drivers/usb/core/message.c:2170 usb_generic_driver_probe+0xba/0x100 drivers/usb/core/generic.c:238 usb_probe_device+0xd9/0x2c0 drivers/usb/core/driver.c:293

CVE Informations

Related Weaknesses

CWE-ID	Weakness Name	Source
CWE Other	No informations.

Metrics

Metrics	Score	Severity	CVSS Vector	Source
V3.1	5.5	MEDIUM	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H More informations 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.	[email protected]

EPSS

EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.

EPSS First.org