CVE-2024-35995 : Detail

CVE-2024-35995

5.5
/
Medium
0.02%V4
Local
2024-05-20
09h47 +00:00
2026-01-05
10h36 +00:00
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CVE Descriptions

ACPI: CPPC: Use access_width over bit_width for system memory accesses

In the Linux kernel, the following vulnerability has been resolved: ACPI: CPPC: Use access_width over bit_width for system memory accesses To align with ACPI 6.3+, since bit_width can be any 8-bit value, it cannot be depended on to be always on a clean 8b boundary. This was uncovered on the Cobalt 100 platform. SError Interrupt on CPU26, code 0xbe000011 -- SError CPU: 26 PID: 1510 Comm: systemd-udevd Not tainted 5.15.2.1-13 #1 Hardware name: MICROSOFT CORPORATION, BIOS MICROSOFT CORPORATION pstate: 62400009 (nZCv daif +PAN -UAO +TCO -DIT -SSBS BTYPE=--) pc : cppc_get_perf_caps+0xec/0x410 lr : cppc_get_perf_caps+0xe8/0x410 sp : ffff8000155ab730 x29: ffff8000155ab730 x28: ffff0080139d0038 x27: ffff0080139d0078 x26: 0000000000000000 x25: ffff0080139d0058 x24: 00000000ffffffff x23: ffff0080139d0298 x22: ffff0080139d0278 x21: 0000000000000000 x20: ffff00802b251910 x19: ffff0080139d0000 x18: ffffffffffffffff x17: 0000000000000000 x16: ffffdc7e111bad04 x15: ffff00802b251008 x14: ffffffffffffffff x13: ffff013f1fd63300 x12: 0000000000000006 x11: ffffdc7e128f4420 x10: 0000000000000000 x9 : ffffdc7e111badec x8 : ffff00802b251980 x7 : 0000000000000000 x6 : ffff0080139d0028 x5 : 0000000000000000 x4 : ffff0080139d0018 x3 : 00000000ffffffff x2 : 0000000000000008 x1 : ffff8000155ab7a0 x0 : 0000000000000000 Kernel panic - not syncing: Asynchronous SError Interrupt CPU: 26 PID: 1510 Comm: systemd-udevd Not tainted 5.15.2.1-13 #1 Hardware name: MICROSOFT CORPORATION, BIOS MICROSOFT CORPORATION Call trace: dump_backtrace+0x0/0x1e0 show_stack+0x24/0x30 dump_stack_lvl+0x8c/0xb8 dump_stack+0x18/0x34 panic+0x16c/0x384 add_taint+0x0/0xc0 arm64_serror_panic+0x7c/0x90 arm64_is_fatal_ras_serror+0x34/0xa4 do_serror+0x50/0x6c el1h_64_error_handler+0x40/0x74 el1h_64_error+0x7c/0x80 cppc_get_perf_caps+0xec/0x410 cppc_cpufreq_cpu_init+0x74/0x400 [cppc_cpufreq] cpufreq_online+0x2dc/0xa30 cpufreq_add_dev+0xc0/0xd4 subsys_interface_register+0x134/0x14c cpufreq_register_driver+0x1b0/0x354 cppc_cpufreq_init+0x1a8/0x1000 [cppc_cpufreq] do_one_initcall+0x50/0x250 do_init_module+0x60/0x27c load_module+0x2300/0x2570 __do_sys_finit_module+0xa8/0x114 __arm64_sys_finit_module+0x2c/0x3c invoke_syscall+0x78/0x100 el0_svc_common.constprop.0+0x180/0x1a0 do_el0_svc+0x84/0xa0 el0_svc+0x2c/0xc0 el0t_64_sync_handler+0xa4/0x12c el0t_64_sync+0x1a4/0x1a8 Instead, use access_width to determine the size and use the offset and width to shift and mask the bits to read/write out. Make sure to add a check for system memory since pcc redefines the access_width to subspace id. If access_width is not set, then fall back to using bit_width. [ rjw: Subject and changelog edits, comment adjustments ]

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.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version To (excluding) 6.1.90

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.30

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.8.9

References