CVE-2024-56673 : Detail

CVE-2024-56673

5.5
/
Medium
0.04%V3
Local
2024-12-27
15h06 +00:00
2025-01-20
06h25 +00:00
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CVE Descriptions

riscv: mm: Do not call pmd dtor on vmemmap page table teardown

In the Linux kernel, the following vulnerability has been resolved: riscv: mm: Do not call pmd dtor on vmemmap page table teardown The vmemmap's, which is used for RV64 with SPARSEMEM_VMEMMAP, page tables are populated using pmd (page middle directory) hugetables. However, the pmd allocation is not using the generic mechanism used by the VMA code (e.g. pmd_alloc()), or the RISC-V specific create_pgd_mapping()/alloc_pmd_late(). Instead, the vmemmap page table code allocates a page, and calls vmemmap_set_pmd(). This results in that the pmd ctor is *not* called, nor would it make sense to do so. Now, when tearing down a vmemmap page table pmd, the cleanup code would unconditionally, and incorrectly call the pmd dtor, which results in a crash (best case). This issue was found when running the HMM selftests: | tools/testing/selftests/mm# ./test_hmm.sh smoke | ... # when unloading the test_hmm.ko module | page: refcount:1 mapcount:0 mapping:0000000000000000 index:0x0 pfn:0x10915b | flags: 0x1000000000000000(node=0|zone=1) | raw: 1000000000000000 0000000000000000 dead000000000122 0000000000000000 | raw: 0000000000000000 0000000000000000 00000001ffffffff 0000000000000000 | page dumped because: VM_BUG_ON_PAGE(ptdesc->pmd_huge_pte) | ------------[ cut here ]------------ | kernel BUG at include/linux/mm.h:3080! | Kernel BUG [#1] | Modules linked in: test_hmm(-) sch_fq_codel fuse drm drm_panel_orientation_quirks backlight dm_mod | CPU: 1 UID: 0 PID: 514 Comm: modprobe Tainted: G W 6.12.0-00982-gf2a4f1682d07 #2 | Tainted: [W]=WARN | Hardware name: riscv-virtio qemu/qemu, BIOS 2024.10 10/01/2024 | epc : remove_pgd_mapping+0xbec/0x1070 | ra : remove_pgd_mapping+0xbec/0x1070 | epc : ffffffff80010a68 ra : ffffffff80010a68 sp : ff20000000a73940 | gp : ffffffff827b2d88 tp : ff6000008785da40 t0 : ffffffff80fbce04 | t1 : 0720072007200720 t2 : 706d756420656761 s0 : ff20000000a73a50 | s1 : ff6000008915cff8 a0 : 0000000000000039 a1 : 0000000000000008 | a2 : ff600003fff0de20 a3 : 0000000000000000 a4 : 0000000000000000 | a5 : 0000000000000000 a6 : c0000000ffffefff a7 : ffffffff824469b8 | s2 : ff1c0000022456c0 s3 : ff1ffffffdbfffff s4 : ff6000008915c000 | s5 : ff6000008915c000 s6 : ff6000008915c000 s7 : ff1ffffffdc00000 | s8 : 0000000000000001 s9 : ff1ffffffdc00000 s10: ffffffff819a31f0 | s11: ffffffffffffffff t3 : ffffffff8000c950 t4 : ff60000080244f00 | t5 : ff60000080244000 t6 : ff20000000a73708 | status: 0000000200000120 badaddr: ffffffff80010a68 cause: 0000000000000003 | [] remove_pgd_mapping+0xbec/0x1070 | [] vmemmap_free+0x14/0x1e | [] section_deactivate+0x220/0x452 | [] sparse_remove_section+0x4a/0x58 | [] __remove_pages+0x7e/0xba | [] memunmap_pages+0x2bc/0x3fe | [] dmirror_device_remove_chunks+0x2ea/0x518 [test_hmm] | [] hmm_dmirror_exit+0x3e/0x1018 [test_hmm] | [] __riscv_sys_delete_module+0x15a/0x2a6 | [] do_trap_ecall_u+0x1f2/0x266 | [] _new_vmalloc_restore_context_a0+0xc6/0xd2 | Code: bf51 7597 0184 8593 76a5 854a 4097 0029 80e7 2c00 (9002) 7597 | ---[ end trace 0000000000000000 ]--- | Kernel panic - not syncing: Fatal exception in interrupt Add a check to avoid calling the pmd dtor, if the calling context is vmemmap_free().

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) 6.11 To (excluding) 6.12.6

Linux>>Linux_kernel >> Version 6.13

Linux>>Linux_kernel >> Version 6.13

References