CVE-2024-46749 : Detail

CVE-2024-46749

5.5
/
Medium
Memory Corruption
0.04%V3
Local
2024-09-18
07h12 +00:00
2024-12-19
09h22 +00:00
CVE.org
NVD
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CVE Descriptions

Bluetooth: btnxpuart: Fix Null pointer dereference in btnxpuart_flush()

In the Linux kernel, the following vulnerability has been resolved: Bluetooth: btnxpuart: Fix Null pointer dereference in btnxpuart_flush() This adds a check before freeing the rx->skb in flush and close functions to handle the kernel crash seen while removing driver after FW download fails or before FW download completes. dmesg log: [ 54.634586] Unable to handle kernel NULL pointer dereference at virtual address 0000000000000080 [ 54.643398] Mem abort info: [ 54.646204] ESR = 0x0000000096000004 [ 54.649964] EC = 0x25: DABT (current EL), IL = 32 bits [ 54.655286] SET = 0, FnV = 0 [ 54.658348] EA = 0, S1PTW = 0 [ 54.661498] FSC = 0x04: level 0 translation fault [ 54.666391] Data abort info: [ 54.669273] ISV = 0, ISS = 0x00000004, ISS2 = 0x00000000 [ 54.674768] CM = 0, WnR = 0, TnD = 0, TagAccess = 0 [ 54.674771] GCS = 0, Overlay = 0, DirtyBit = 0, Xs = 0 [ 54.674775] user pgtable: 4k pages, 48-bit VAs, pgdp=0000000048860000 [ 54.674780] [0000000000000080] pgd=0000000000000000, p4d=0000000000000000 [ 54.703880] Internal error: Oops: 0000000096000004 [#1] PREEMPT SMP [ 54.710152] Modules linked in: btnxpuart(-) 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_micfil snd_soc_fsl_spdif snd_soc_fsl_sai snd_soc_fsl_utils imx_pcm_dma gpio_ir_recv rc_core sch_fq_codel fuse [ 54.744357] CPU: 3 PID: 72 Comm: kworker/u9:0 Not tainted 6.6.3-otbr-g128004619037 #2 [ 54.744364] Hardware name: FSL i.MX8MM EVK board (DT) [ 54.744368] Workqueue: hci0 hci_power_on [ 54.757244] pstate: 60000005 (nZCv daif -PAN -UAO -TCO -DIT -SSBS BTYPE=--) [ 54.757249] pc : kfree_skb_reason+0x18/0xb0 [ 54.772299] lr : btnxpuart_flush+0x40/0x58 [btnxpuart] [ 54.782921] sp : ffff8000805ebca0 [ 54.782923] x29: ffff8000805ebca0 x28: ffffa5c6cf1869c0 x27: ffffa5c6cf186000 [ 54.782931] x26: ffff377b84852400 x25: ffff377b848523c0 x24: ffff377b845e7230 [ 54.782938] x23: ffffa5c6ce8dbe08 x22: ffffa5c6ceb65410 x21: 00000000ffffff92 [ 54.782945] x20: ffffa5c6ce8dbe98 x19: ffffffffffffffac x18: ffffffffffffffff [ 54.807651] x17: 0000000000000000 x16: ffffa5c6ce2824ec x15: ffff8001005eb857 [ 54.821917] x14: 0000000000000000 x13: ffffa5c6cf1a02e0 x12: 0000000000000642 [ 54.821924] x11: 0000000000000040 x10: ffffa5c6cf19d690 x9 : ffffa5c6cf19d688 [ 54.821931] x8 : ffff377b86000028 x7 : 0000000000000000 x6 : 0000000000000000 [ 54.821938] x5 : ffff377b86000000 x4 : 0000000000000000 x3 : 0000000000000000 [ 54.843331] x2 : 0000000000000000 x1 : 0000000000000002 x0 : ffffffffffffffac [ 54.857599] Call trace: [ 54.857601] kfree_skb_reason+0x18/0xb0 [ 54.863878] btnxpuart_flush+0x40/0x58 [btnxpuart] [ 54.863888] hci_dev_open_sync+0x3a8/0xa04 [ 54.872773] hci_power_on+0x54/0x2e4 [ 54.881832] process_one_work+0x138/0x260 [ 54.881842] worker_thread+0x32c/0x438 [ 54.881847] kthread+0x118/0x11c [ 54.881853] ret_from_fork+0x10/0x20 [ 54.896406] Code: a9be7bfd 910003fd f9000bf3 aa0003f3 (b940d400) [ 54.896410] ---[ end trace 0000000000000000 ]---

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-476 NULL Pointer Dereference
The product dereferences a pointer that it expects to be valid but is NULL.

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) 6.6.51

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.10.10

References