CVE-2024-46680 : Detail

CVE-2024-46680

5.5
/
Medium
0.04%V3
Local
2024-09-13
05h29 +00:00
2024-12-19
09h20 +00:00
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CVE Descriptions

Bluetooth: btnxpuart: Fix random crash seen while removing driver

In the Linux kernel, the following vulnerability has been resolved: Bluetooth: btnxpuart: Fix random crash seen while removing driver This fixes the random kernel crash seen while removing the driver, when running the load/unload test over multiple iterations. 1) modprobe btnxpuart 2) hciconfig hci0 reset 3) hciconfig (check hci0 interface up with valid BD address) 4) modprobe -r btnxpuart Repeat steps 1 to 4 The ps_wakeup() call in btnxpuart_close() schedules the psdata->work(), which gets scheduled after module is removed, causing a kernel crash. This hidden issue got highlighted after enabling Power Save by default in 4183a7be7700 (Bluetooth: btnxpuart: Enable Power Save feature on startup) The new ps_cleanup() deasserts UART break immediately while closing serdev device, cancels any scheduled ps_work and destroys the ps_lock mutex. [ 85.884604] Unable to handle kernel paging request at virtual address ffffd4a61638f258 [ 85.884624] Mem abort info: [ 85.884625] ESR = 0x0000000086000007 [ 85.884628] EC = 0x21: IABT (current EL), IL = 32 bits [ 85.884633] SET = 0, FnV = 0 [ 85.884636] EA = 0, S1PTW = 0 [ 85.884638] FSC = 0x07: level 3 translation fault [ 85.884642] swapper pgtable: 4k pages, 48-bit VAs, pgdp=0000000041dd0000 [ 85.884646] [ffffd4a61638f258] pgd=1000000095fff003, p4d=1000000095fff003, pud=100000004823d003, pmd=100000004823e003, pte=0000000000000000 [ 85.884662] Internal error: Oops: 0000000086000007 [#1] PREEMPT SMP [ 85.890932] Modules linked in: algif_hash algif_skcipher af_alg overlay fsl_jr_uio caam_jr caamkeyblob_desc caamhash_desc caamalg_desc crypto_engine authenc libdes crct10dif_ce polyval_ce polyval_generic snd_soc_imx_spdif snd_soc_imx_card snd_soc_ak5558 snd_soc_ak4458 caam secvio error snd_soc_fsl_spdif snd_soc_fsl_micfil snd_soc_fsl_sai snd_soc_fsl_utils gpio_ir_recv rc_core fuse [last unloaded: btnxpuart(O)] [ 85.927297] CPU: 1 PID: 67 Comm: kworker/1:3 Tainted: G O 6.1.36+g937b1be4345a #1 [ 85.936176] Hardware name: FSL i.MX8MM EVK board (DT) [ 85.936182] Workqueue: events 0xffffd4a61638f380 [ 85.936198] pstate: 60000005 (nZCv daif -PAN -UAO -TCO -DIT -SSBS BTYPE=--) [ 85.952817] pc : 0xffffd4a61638f258 [ 85.952823] lr : 0xffffd4a61638f258 [ 85.952827] sp : ffff8000084fbd70 [ 85.952829] x29: ffff8000084fbd70 x28: 0000000000000000 x27: 0000000000000000 [ 85.963112] x26: ffffd4a69133f000 x25: ffff4bf1c8540990 x24: ffff4bf215b87305 [ 85.963119] x23: ffff4bf215b87300 x22: ffff4bf1c85409d0 x21: ffff4bf1c8540970 [ 85.977382] x20: 0000000000000000 x19: ffff4bf1c8540880 x18: 0000000000000000 [ 85.977391] x17: 0000000000000000 x16: 0000000000000133 x15: 0000ffffe2217090 [ 85.977399] x14: 0000000000000001 x13: 0000000000000133 x12: 0000000000000139 [ 85.977407] x11: 0000000000000001 x10: 0000000000000a60 x9 : ffff8000084fbc50 [ 85.977417] x8 : ffff4bf215b7d000 x7 : ffff4bf215b83b40 x6 : 00000000000003e8 [ 85.977424] x5 : 00000000410fd030 x4 : 0000000000000000 x3 : 0000000000000000 [ 85.977432] x2 : 0000000000000000 x1 : ffff4bf1c4265880 x0 : 0000000000000000 [ 85.977443] Call trace: [ 85.977446] 0xffffd4a61638f258 [ 85.977451] 0xffffd4a61638f3e8 [ 85.977455] process_one_work+0x1d4/0x330 [ 85.977464] worker_thread+0x6c/0x430 [ 85.977471] kthread+0x108/0x10c [ 85.977476] ret_from_fork+0x10/0x20 [ 85.977488] Code: bad PC value [ 85.977491] ---[ end trace 0000000000000000 ]--- Preset since v6.9.11

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 From (including) 6.4 To (excluding) 6.6.49

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.10.8

Linux>>Linux_kernel >> Version 6.11

Linux>>Linux_kernel >> Version 6.11

Linux>>Linux_kernel >> Version 6.11

Linux>>Linux_kernel >> Version 6.11

Linux>>Linux_kernel >> Version 6.11

References