CVE-2024-36884 : Detail

CVE-2024-36884

5.5
/
Medium
Memory Corruption
0.05%V4
Local
2024-05-30
15h28 +00:00
2024-12-19
09h01 +00:00
CVE.org
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CVE Descriptions

iommu/arm-smmu: Use the correct type in nvidia_smmu_context_fault()

In the Linux kernel, the following vulnerability has been resolved: iommu/arm-smmu: Use the correct type in nvidia_smmu_context_fault() This was missed because of the function pointer indirection. nvidia_smmu_context_fault() is also installed as a irq function, and the 'void *' was changed to a struct arm_smmu_domain. Since the iommu_domain is embedded at a non-zero offset this causes nvidia_smmu_context_fault() to miscompute the offset. Fixup the types. Unable to handle kernel NULL pointer dereference at virtual address 0000000000000120 Mem abort info: ESR = 0x0000000096000004 EC = 0x25: DABT (current EL), IL = 32 bits SET = 0, FnV = 0 EA = 0, S1PTW = 0 FSC = 0x04: level 0 translation fault Data abort info: ISV = 0, ISS = 0x00000004, ISS2 = 0x00000000 CM = 0, WnR = 0, TnD = 0, TagAccess = 0 GCS = 0, Overlay = 0, DirtyBit = 0, Xs = 0 user pgtable: 4k pages, 48-bit VAs, pgdp=0000000107c9f000 [0000000000000120] pgd=0000000000000000, p4d=0000000000000000 Internal error: Oops: 0000000096000004 [#1] SMP Modules linked in: CPU: 1 PID: 47 Comm: kworker/u25:0 Not tainted 6.9.0-0.rc7.58.eln136.aarch64 #1 Hardware name: Unknown NVIDIA Jetson Orin NX/NVIDIA Jetson Orin NX, BIOS 3.1-32827747 03/19/2023 Workqueue: events_unbound deferred_probe_work_func pstate: 604000c9 (nZCv daIF +PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : nvidia_smmu_context_fault+0x1c/0x158 lr : __free_irq+0x1d4/0x2e8 sp : ffff80008044b6f0 x29: ffff80008044b6f0 x28: ffff000080a60b18 x27: ffffd32b5172e970 x26: 0000000000000000 x25: ffff0000802f5aac x24: ffff0000802f5a30 x23: ffff0000802f5b60 x22: 0000000000000057 x21: 0000000000000000 x20: ffff0000802f5a00 x19: ffff000087d4cd80 x18: ffffffffffffffff x17: 6234362066666666 x16: 6630303078302d30 x15: ffff00008156d888 x14: 0000000000000000 x13: ffff0000801db910 x12: ffff00008156d6d0 x11: 0000000000000003 x10: ffff0000801db918 x9 : ffffd32b50f94d9c x8 : 1fffe0001032fda1 x7 : ffff00008197ed00 x6 : 000000000000000f x5 : 000000000000010e x4 : 000000000000010e x3 : 0000000000000000 x2 : ffffd32b51720cd8 x1 : ffff000087e6f700 x0 : 0000000000000057 Call trace: nvidia_smmu_context_fault+0x1c/0x158 __free_irq+0x1d4/0x2e8 free_irq+0x3c/0x80 devm_free_irq+0x64/0xa8 arm_smmu_domain_free+0xc4/0x158 iommu_domain_free+0x44/0xa0 iommu_deinit_device+0xd0/0xf8 __iommu_group_remove_device+0xcc/0xe0 iommu_bus_notifier+0x64/0xa8 notifier_call_chain+0x78/0x148 blocking_notifier_call_chain+0x4c/0x90 bus_notify+0x44/0x70 device_del+0x264/0x3e8 pci_remove_bus_device+0x84/0x120 pci_remove_root_bus+0x5c/0xc0 dw_pcie_host_deinit+0x38/0xe0 tegra_pcie_config_rp+0xc0/0x1f0 tegra_pcie_dw_probe+0x34c/0x700 platform_probe+0x70/0xe8 really_probe+0xc8/0x3a0 __driver_probe_device+0x84/0x160 driver_probe_device+0x44/0x130 __device_attach_driver+0xc4/0x170 bus_for_each_drv+0x90/0x100 __device_attach+0xa8/0x1c8 device_initial_probe+0x1c/0x30 bus_probe_device+0xb0/0xc0 deferred_probe_work_func+0xbc/0x120 process_one_work+0x194/0x490 worker_thread+0x284/0x3b0 kthread+0xf4/0x108 ret_from_fork+0x10/0x20 Code: a9b97bfd 910003fd a9025bf5 f85a0035 (b94122a1)

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.

 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) 6.8 To (excluding) 6.8.10

References

The information presented on CVE Find originates from several carefully selected reference sources. CVE data is provided by MITRE Corporation and the National Vulnerability Database (NVD). The Known Exploited Vulnerabilities (KEV) catalog is sourced from the Cybersecurity and Infrastructure Security Agency (CISA), while EPSS scores come from FIRST.org. Additionally, data regarding software weaknesses (CWE) and common attack patterns (CAPEC) is maintained by MITRE Corporation, and information on hardware and software configurations (CPE) is provided by the NVD.