CVE-2024-56585 : Detail

CVE-2024-56585

5.5
/
Medium
0.04%V4
Local
2024-12-27
14h50 +00:00
2025-11-03
20h50 +00:00
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CVE Descriptions

LoongArch: Fix sleeping in atomic context for PREEMPT_RT

In the Linux kernel, the following vulnerability has been resolved: LoongArch: Fix sleeping in atomic context for PREEMPT_RT Commit bab1c299f3945ffe79 ("LoongArch: Fix sleeping in atomic context in setup_tlb_handler()") changes the gfp flag from GFP_KERNEL to GFP_ATOMIC for alloc_pages_node(). However, for PREEMPT_RT kernels we can still get a "sleeping in atomic context" error: [ 0.372259] BUG: sleeping function called from invalid context at kernel/locking/spinlock_rt.c:48 [ 0.372266] in_atomic(): 1, irqs_disabled(): 1, non_block: 0, pid: 0, name: swapper/1 [ 0.372268] preempt_count: 1, expected: 0 [ 0.372270] RCU nest depth: 1, expected: 1 [ 0.372272] 3 locks held by swapper/1/0: [ 0.372274] #0: 900000000c9f5e60 (&pcp->lock){+.+.}-{3:3}, at: get_page_from_freelist+0x524/0x1c60 [ 0.372294] #1: 90000000087013b8 (rcu_read_lock){....}-{1:3}, at: rt_spin_trylock+0x50/0x140 [ 0.372305] #2: 900000047fffd388 (&zone->lock){+.+.}-{3:3}, at: __rmqueue_pcplist+0x30c/0xea0 [ 0.372314] irq event stamp: 0 [ 0.372316] hardirqs last enabled at (0): [<0000000000000000>] 0x0 [ 0.372322] hardirqs last disabled at (0): [<9000000005947320>] copy_process+0x9c0/0x26e0 [ 0.372329] softirqs last enabled at (0): [<9000000005947320>] copy_process+0x9c0/0x26e0 [ 0.372335] softirqs last disabled at (0): [<0000000000000000>] 0x0 [ 0.372341] CPU: 1 UID: 0 PID: 0 Comm: swapper/1 Not tainted 6.12.0-rc7+ #1891 [ 0.372346] Hardware name: Loongson Loongson-3A5000-7A1000-1w-CRB/Loongson-LS3A5000-7A1000-1w-CRB, BIOS vUDK2018-LoongArch-V2.0.0-prebeta9 10/21/2022 [ 0.372349] Stack : 0000000000000089 9000000005a0db9c 90000000071519c8 9000000100388000 [ 0.372486] 900000010038b890 0000000000000000 900000010038b898 9000000007e53788 [ 0.372492] 900000000815bcc8 900000000815bcc0 900000010038b700 0000000000000001 [ 0.372498] 0000000000000001 4b031894b9d6b725 00000000055ec000 9000000100338fc0 [ 0.372503] 00000000000000c4 0000000000000001 000000000000002d 0000000000000003 [ 0.372509] 0000000000000030 0000000000000003 00000000055ec000 0000000000000003 [ 0.372515] 900000000806d000 9000000007e53788 00000000000000b0 0000000000000004 [ 0.372521] 0000000000000000 0000000000000000 900000000c9f5f10 0000000000000000 [ 0.372526] 90000000076f12d8 9000000007e53788 9000000005924778 0000000000000000 [ 0.372532] 00000000000000b0 0000000000000004 0000000000000000 0000000000070000 [ 0.372537] ... [ 0.372540] Call Trace: [ 0.372542] [<9000000005924778>] show_stack+0x38/0x180 [ 0.372548] [<90000000071519c4>] dump_stack_lvl+0x94/0xe4 [ 0.372555] [<900000000599b880>] __might_resched+0x1a0/0x260 [ 0.372561] [<90000000071675cc>] rt_spin_lock+0x4c/0x140 [ 0.372565] [<9000000005cbb768>] __rmqueue_pcplist+0x308/0xea0 [ 0.372570] [<9000000005cbed84>] get_page_from_freelist+0x564/0x1c60 [ 0.372575] [<9000000005cc0d98>] __alloc_pages_noprof+0x218/0x1820 [ 0.372580] [<900000000593b36c>] tlb_init+0x1ac/0x298 [ 0.372585] [<9000000005924b74>] per_cpu_trap_init+0x114/0x140 [ 0.372589] [<9000000005921964>] cpu_probe+0x4e4/0xa60 [ 0.372592] [<9000000005934874>] start_secondary+0x34/0xc0 [ 0.372599] [<900000000715615c>] smpboot_entry+0x64/0x6c This is because in PREEMPT_RT kernels normal spinlocks are replaced by rt spinlocks and rt_spin_lock() will cause sleeping. Fix it by disabling NUMA optimization completely for PREEMPT_RT kernels.

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-667 Improper Locking
The product does not properly acquire or release a lock on a resource, leading to unexpected resource state changes and behaviors.

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.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 5.19 To (excluding) 6.1.120

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.66

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.12.5

References