CVE-2024-44962 : Detail

CVE-2024-44962

5.5
/
Medium
0.04%V3
Local
2024-09-04
18h35 +00:00
2024-12-19
09h19 +00:00
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CVE Descriptions

Bluetooth: btnxpuart: Shutdown timer and prevent rearming when driver unloading

In the Linux kernel, the following vulnerability has been resolved: Bluetooth: btnxpuart: Shutdown timer and prevent rearming when driver unloading When unload the btnxpuart driver, its associated timer will be deleted. If the timer happens to be modified at this moment, it leads to the kernel call this timer even after the driver unloaded, resulting in kernel panic. Use timer_shutdown_sync() instead of del_timer_sync() to prevent rearming. panic log: Internal error: Oops: 0000000086000007 [#1] PREEMPT SMP Modules linked in: algif_hash algif_skcipher af_alg moal(O) mlan(O) crct10dif_ce polyval_ce polyval_generic snd_soc_imx_card snd_soc_fsl_asoc_card snd_soc_imx_audmux mxc_jpeg_encdec v4l2_jpeg snd_soc_wm8962 snd_soc_fsl_micfil snd_soc_fsl_sai flexcan snd_soc_fsl_utils ap130x rpmsg_ctrl imx_pcm_dma can_dev rpmsg_char pwm_fan fuse [last unloaded: btnxpuart] CPU: 5 PID: 723 Comm: memtester Tainted: G O 6.6.23-lts-next-06207-g4aef2658ac28 #1 Hardware name: NXP i.MX95 19X19 board (DT) pstate: 20400009 (nzCv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : 0xffff80007a2cf464 lr : call_timer_fn.isra.0+0x24/0x80 ... Call trace: 0xffff80007a2cf464 __run_timers+0x234/0x280 run_timer_softirq+0x20/0x40 __do_softirq+0x100/0x26c ____do_softirq+0x10/0x1c call_on_irq_stack+0x24/0x4c do_softirq_own_stack+0x1c/0x2c irq_exit_rcu+0xc0/0xdc el0_interrupt+0x54/0xd8 __el0_irq_handler_common+0x18/0x24 el0t_64_irq_handler+0x10/0x1c el0t_64_irq+0x190/0x194 Code: ???????? ???????? ???????? ???????? (????????) ---[ end trace 0000000000000000 ]--- Kernel panic - not syncing: Oops: Fatal exception in interrupt SMP: stopping secondary CPUs Kernel Offset: disabled CPU features: 0x0,c0000000,40028143,1000721b Memory Limit: none ---[ end Kernel panic - not syncing: Oops: Fatal exception in interrupt ]---

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

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.

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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

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version To (excluding) 6.6.46

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.10.5

References