CVE-2022-48916 : Detail

CVE-2022-48916

5.5
/
Medium
0.02%V4
Local
2024-08-22
01h32 +00:00
2024-12-19
08h10 +00:00
CVE.org
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CVE Descriptions

iommu/vt-d: Fix double list_add when enabling VMD in scalable mode

In the Linux kernel, the following vulnerability has been resolved: iommu/vt-d: Fix double list_add when enabling VMD in scalable mode When enabling VMD and IOMMU scalable mode, the following kernel panic call trace/kernel log is shown in Eagle Stream platform (Sapphire Rapids CPU) during booting: pci 0000:59:00.5: Adding to iommu group 42 ... vmd 0000:59:00.5: PCI host bridge to bus 10000:80 pci 10000:80:01.0: [8086:352a] type 01 class 0x060400 pci 10000:80:01.0: reg 0x10: [mem 0x00000000-0x0001ffff 64bit] pci 10000:80:01.0: enabling Extended Tags pci 10000:80:01.0: PME# supported from D0 D3hot D3cold pci 10000:80:01.0: DMAR: Setup RID2PASID failed pci 10000:80:01.0: Failed to add to iommu group 42: -16 pci 10000:80:03.0: [8086:352b] type 01 class 0x060400 pci 10000:80:03.0: reg 0x10: [mem 0x00000000-0x0001ffff 64bit] pci 10000:80:03.0: enabling Extended Tags pci 10000:80:03.0: PME# supported from D0 D3hot D3cold ------------[ cut here ]------------ kernel BUG at lib/list_debug.c:29! invalid opcode: 0000 [#1] PREEMPT SMP NOPTI CPU: 0 PID: 7 Comm: kworker/0:1 Not tainted 5.17.0-rc3+ #7 Hardware name: Lenovo ThinkSystem SR650V3/SB27A86647, BIOS ESE101Y-1.00 01/13/2022 Workqueue: events work_for_cpu_fn RIP: 0010:__list_add_valid.cold+0x26/0x3f Code: 9a 4a ab ff 4c 89 c1 48 c7 c7 40 0c d9 9e e8 b9 b1 fe ff 0f 0b 48 89 f2 4c 89 c1 48 89 fe 48 c7 c7 f0 0c d9 9e e8 a2 b1 fe ff <0f> 0b 48 89 d1 4c 89 c6 4c 89 ca 48 c7 c7 98 0c d9 9e e8 8b b1 fe RSP: 0000:ff5ad434865b3a40 EFLAGS: 00010246 RAX: 0000000000000058 RBX: ff4d61160b74b880 RCX: ff4d61255e1fffa8 RDX: 0000000000000000 RSI: 00000000fffeffff RDI: ffffffff9fd34f20 RBP: ff4d611d8e245c00 R08: 0000000000000000 R09: ff5ad434865b3888 R10: ff5ad434865b3880 R11: ff4d61257fdc6fe8 R12: ff4d61160b74b8a0 R13: ff4d61160b74b8a0 R14: ff4d611d8e245c10 R15: ff4d611d8001ba70 FS: 0000000000000000(0000) GS:ff4d611d5ea00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: ff4d611fa1401000 CR3: 0000000aa0210001 CR4: 0000000000771ef0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe07f0 DR7: 0000000000000400 PKRU: 55555554 Call Trace: intel_pasid_alloc_table+0x9c/0x1d0 dmar_insert_one_dev_info+0x423/0x540 ? device_to_iommu+0x12d/0x2f0 intel_iommu_attach_device+0x116/0x290 __iommu_attach_device+0x1a/0x90 iommu_group_add_device+0x190/0x2c0 __iommu_probe_device+0x13e/0x250 iommu_probe_device+0x24/0x150 iommu_bus_notifier+0x69/0x90 blocking_notifier_call_chain+0x5a/0x80 device_add+0x3db/0x7b0 ? arch_memremap_can_ram_remap+0x19/0x50 ? memremap+0x75/0x140 pci_device_add+0x193/0x1d0 pci_scan_single_device+0xb9/0xf0 pci_scan_slot+0x4c/0x110 pci_scan_child_bus_extend+0x3a/0x290 vmd_enable_domain.constprop.0+0x63e/0x820 vmd_probe+0x163/0x190 local_pci_probe+0x42/0x80 work_for_cpu_fn+0x13/0x20 process_one_work+0x1e2/0x3b0 worker_thread+0x1c4/0x3a0 ? rescuer_thread+0x370/0x370 kthread+0xc7/0xf0 ? kthread_complete_and_exit+0x20/0x20 ret_from_fork+0x1f/0x30 Modules linked in: ---[ end trace 0000000000000000 ]--- ... Kernel panic - not syncing: Fatal exception Kernel Offset: 0x1ca00000 from 0xffffffff81000000 (relocation range: 0xffffffff80000000-0xffffffffbfffffff) ---[ end Kernel panic - not syncing: Fatal exception ]--- The following 'lspci' output shows devices '10000:80:*' are subdevices of the VMD device 0000:59:00.5: $ lspci ... 0000:59:00.5 RAID bus controller: Intel Corporation Volume Management Device NVMe RAID Controller (rev 20) ... 10000:80:01.0 PCI bridge: Intel Corporation Device 352a (rev 03) 10000:80:03.0 PCI bridge: Intel Corporation Device 352b (rev 03) 10000:80:05.0 PCI bridge: Intel Corporation Device 352c (rev 03) 10000:80:07.0 PCI bridge: Intel Corporation Device 352d (rev 03) 10000:81:00.0 Non-Volatile memory controller: Intel Corporation NVMe Datacenter SSD [3DNAND, Beta Rock Controller] 10000:82:00 ---truncated---

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.

 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) 5.12.19 To (excluding) 5.13

Linux>>Linux_kernel >> Version From (including) 5.13.4 To (excluding) 5.14

Linux>>Linux_kernel >> Version From (including) 5.14 To (excluding) 5.15.27

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 5.16.13

Linux>>Linux_kernel >> Version 5.17

Linux>>Linux_kernel >> Version 5.17

Linux>>Linux_kernel >> Version 5.17

Linux>>Linux_kernel >> Version 5.17

Linux>>Linux_kernel >> Version 5.17

Linux>>Linux_kernel >> Version 5.17

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.