CVE-2024-26991 : Détail

CVE-2024-26991

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2024-05-01
05h27 +00:00
2024-12-19
08h51 +00:00
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Descriptions du CVE

KVM: x86/mmu: x86: Don't overflow lpage_info when checking attributes

In the Linux kernel, the following vulnerability has been resolved: KVM: x86/mmu: x86: Don't overflow lpage_info when checking attributes Fix KVM_SET_MEMORY_ATTRIBUTES to not overflow lpage_info array and trigger KASAN splat, as seen in the private_mem_conversions_test selftest. When memory attributes are set on a GFN range, that range will have specific properties applied to the TDP. A huge page cannot be used when the attributes are inconsistent, so they are disabled for those the specific huge pages. For internal KVM reasons, huge pages are also not allowed to span adjacent memslots regardless of whether the backing memory could be mapped as huge. What GFNs support which huge page sizes is tracked by an array of arrays 'lpage_info' on the memslot, of ‘kvm_lpage_info’ structs. Each index of lpage_info contains a vmalloc allocated array of these for a specific supported page size. The kvm_lpage_info denotes whether a specific huge page (GFN and page size) on the memslot is supported. These arrays include indices for unaligned head and tail huge pages. Preventing huge pages from spanning adjacent memslot is covered by incrementing the count in head and tail kvm_lpage_info when the memslot is allocated, but disallowing huge pages for memory that has mixed attributes has to be done in a more complicated way. During the KVM_SET_MEMORY_ATTRIBUTES ioctl KVM updates lpage_info for each memslot in the range that has mismatched attributes. KVM does this a memslot at a time, and marks a special bit, KVM_LPAGE_MIXED_FLAG, in the kvm_lpage_info for any huge page. This bit is essentially a permanently elevated count. So huge pages will not be mapped for the GFN at that page size if the count is elevated in either case: a huge head or tail page unaligned to the memslot or if KVM_LPAGE_MIXED_FLAG is set because it has mixed attributes. To determine whether a huge page has consistent attributes, the KVM_SET_MEMORY_ATTRIBUTES operation checks an xarray to make sure it consistently has the incoming attribute. Since level - 1 huge pages are aligned to level huge pages, it employs an optimization. As long as the level - 1 huge pages are checked first, it can just check these and assume that if each level - 1 huge page contained within the level sized huge page is not mixed, then the level size huge page is not mixed. This optimization happens in the helper hugepage_has_attrs(). Unfortunately, although the kvm_lpage_info array representing page size 'level' will contain an entry for an unaligned tail page of size level, the array for level - 1 will not contain an entry for each GFN at page size level. The level - 1 array will only contain an index for any unaligned region covered by level - 1 huge page size, which can be a smaller region. So this causes the optimization to overflow the level - 1 kvm_lpage_info and perform a vmalloc out of bounds read. In some cases of head and tail pages where an overflow could happen, callers skip the operation completely as KVM_LPAGE_MIXED_FLAG is not required to prevent huge pages as discussed earlier. But for memslots that are smaller than the 1GB page size, it does call hugepage_has_attrs(). In this case the huge page is both the head and tail page. The issue can be observed simply by compiling the kernel with CONFIG_KASAN_VMALLOC and running the selftest “private_mem_conversions_test”, which produces the output like the following: BUG: KASAN: vmalloc-out-of-bounds in hugepage_has_attrs+0x7e/0x110 Read of size 4 at addr ffffc900000a3008 by task private_mem_con/169 Call Trace: dump_stack_lvl print_report ? __virt_addr_valid ? hugepage_has_attrs ? hugepage_has_attrs kasan_report ? hugepage_has_attrs hugepage_has_attrs kvm_arch_post_set_memory_attributes kvm_vm_ioctl It is a little ambiguous whether the unaligned head page (in the bug case also the tail page) should be expected to have KVM_LPAGE_MIXED_FLAG set. It is not functionally required, as the unal ---truncated---

Informations du CVE

Faiblesses connexes

CWE-ID Nom de la faiblesse Source
CWE-125 Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer.

Métriques

Métriques Score Gravité CVSS Vecteur 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 est un modèle de notation qui prédit la probabilité qu'une vulnérabilité soit exploitée.

Score EPSS

Le modèle EPSS produit un score de probabilité compris entre 0 et 1 (0 et 100 %). Plus la note est élevée, plus la probabilité qu'une vulnérabilité soit exploitée est grande.

Percentile EPSS

Le percentile est utilisé pour classer les CVE en fonction de leur score EPSS. Par exemple, une CVE dans le 95e percentile selon son score EPSS est plus susceptible d'être exploitée que 95 % des autres CVE. Ainsi, le percentile sert à comparer le score EPSS d'une CVE par rapport à d'autres CVE.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 6.8 To (excluding) 6.8.8

Linux>>Linux_kernel >> Version 6.9

Linux>>Linux_kernel >> Version 6.9

Linux>>Linux_kernel >> Version 6.9

Linux>>Linux_kernel >> Version 6.9

Références