CVE-2024-26788 : Detail

CVE-2024-26788

5.5
/
Medium
0.04%V3
Local
2024-04-04
08h20 +00:00
2024-12-19
08h47 +00:00
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CVE Descriptions

dmaengine: fsl-qdma: init irq after reg initialization

In the Linux kernel, the following vulnerability has been resolved: dmaengine: fsl-qdma: init irq after reg initialization Initialize the qDMA irqs after the registers are configured so that interrupts that may have been pending from a primary kernel don't get processed by the irq handler before it is ready to and cause panic with the following trace: Call trace: fsl_qdma_queue_handler+0xf8/0x3e8 __handle_irq_event_percpu+0x78/0x2b0 handle_irq_event_percpu+0x1c/0x68 handle_irq_event+0x44/0x78 handle_fasteoi_irq+0xc8/0x178 generic_handle_irq+0x24/0x38 __handle_domain_irq+0x90/0x100 gic_handle_irq+0x5c/0xb8 el1_irq+0xb8/0x180 _raw_spin_unlock_irqrestore+0x14/0x40 __setup_irq+0x4bc/0x798 request_threaded_irq+0xd8/0x190 devm_request_threaded_irq+0x74/0xe8 fsl_qdma_probe+0x4d4/0xca8 platform_drv_probe+0x50/0xa0 really_probe+0xe0/0x3f8 driver_probe_device+0x64/0x130 device_driver_attach+0x6c/0x78 __driver_attach+0xbc/0x158 bus_for_each_dev+0x5c/0x98 driver_attach+0x20/0x28 bus_add_driver+0x158/0x220 driver_register+0x60/0x110 __platform_driver_register+0x44/0x50 fsl_qdma_driver_init+0x18/0x20 do_one_initcall+0x48/0x258 kernel_init_freeable+0x1a4/0x23c kernel_init+0x10/0xf8 ret_from_fork+0x10/0x18

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-908 Use of Uninitialized Resource
The product uses or accesses a resource that has not been initialized.

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.

 nvd@nist.gov

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) 5.1 To (excluding) 5.4.271

Linux>>Linux_kernel >> Version From (including) 5.5 To (excluding) 5.10.212

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.151

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 6.1.81

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.21

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.7.9

Linux>>Linux_kernel >> Version 6.8

Linux>>Linux_kernel >> Version 6.8

Linux>>Linux_kernel >> Version 6.8

Linux>>Linux_kernel >> Version 6.8

Linux>>Linux_kernel >> Version 6.8

Linux>>Linux_kernel >> Version 6.8

Configuraton 0

Debian>>Debian_linux >> Version 10.0

References