CVE-2024-56594 : Detail

CVE-2024-56594

5.5
/
Medium
0.01%V4
Local
2024-12-27
14h51 +00:00
2025-11-03
20h50 +00:00
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CVE Descriptions

drm/amdgpu: set the right AMDGPU sg segment limitation

In the Linux kernel, the following vulnerability has been resolved: drm/amdgpu: set the right AMDGPU sg segment limitation The driver needs to set the correct max_segment_size; otherwise debug_dma_map_sg() will complain about the over-mapping of the AMDGPU sg length as following: WARNING: CPU: 6 PID: 1964 at kernel/dma/debug.c:1178 debug_dma_map_sg+0x2dc/0x370 [ 364.049444] Modules linked in: veth amdgpu(OE) amdxcp drm_exec gpu_sched drm_buddy drm_ttm_helper ttm(OE) drm_suballoc_helper drm_display_helper drm_kms_helper i2c_algo_bit rpcsec_gss_krb5 auth_rpcgss nfsv4 nfs lockd grace netfs xt_conntrack xt_MASQUERADE nf_conntrack_netlink xfrm_user xfrm_algo iptable_nat xt_addrtype iptable_filter br_netfilter nvme_fabrics overlay nfnetlink_cttimeout nfnetlink openvswitch nsh nf_conncount nf_nat nf_conntrack nf_defrag_ipv6 nf_defrag_ipv4 libcrc32c bridge stp llc amd_atl intel_rapl_msr intel_rapl_common sunrpc sch_fq_codel snd_hda_codec_realtek snd_hda_codec_generic snd_hda_scodec_component snd_hda_codec_hdmi snd_hda_intel snd_intel_dspcfg edac_mce_amd binfmt_misc snd_hda_codec snd_pci_acp6x snd_hda_core snd_acp_config snd_hwdep snd_soc_acpi kvm_amd snd_pcm kvm snd_seq_midi snd_seq_midi_event crct10dif_pclmul ghash_clmulni_intel sha512_ssse3 snd_rawmidi sha256_ssse3 sha1_ssse3 aesni_intel snd_seq nls_iso8859_1 crypto_simd snd_seq_device cryptd snd_timer rapl input_leds snd [ 364.049532] ipmi_devintf wmi_bmof ccp serio_raw k10temp sp5100_tco soundcore ipmi_msghandler cm32181 industrialio mac_hid msr parport_pc ppdev lp parport drm efi_pstore ip_tables x_tables pci_stub crc32_pclmul nvme ahci libahci i2c_piix4 r8169 nvme_core i2c_designware_pci realtek i2c_ccgx_ucsi video wmi hid_generic cdc_ether usbnet usbhid hid r8152 mii [ 364.049576] CPU: 6 PID: 1964 Comm: rocminfo Tainted: G OE 6.10.0-custom #492 [ 364.049579] Hardware name: AMD Majolica-RN/Majolica-RN, BIOS RMJ1009A 06/13/2021 [ 364.049582] RIP: 0010:debug_dma_map_sg+0x2dc/0x370 [ 364.049585] Code: 89 4d b8 e8 36 b1 86 00 8b 4d b8 48 8b 55 b0 44 8b 45 a8 4c 8b 4d a0 48 89 c6 48 c7 c7 00 4b 74 bc 4c 89 4d b8 e8 b4 73 f3 ff <0f> 0b 4c 8b 4d b8 8b 15 c8 2c b8 01 85 d2 0f 85 ee fd ff ff 8b 05 [ 364.049588] RSP: 0018:ffff9ca600b57ac0 EFLAGS: 00010286 [ 364.049590] RAX: 0000000000000000 RBX: ffff88b7c132b0c8 RCX: 0000000000000027 [ 364.049592] RDX: ffff88bb0f521688 RSI: 0000000000000001 RDI: ffff88bb0f521680 [ 364.049594] RBP: ffff9ca600b57b20 R08: 000000000000006f R09: ffff9ca600b57930 [ 364.049596] R10: ffff9ca600b57928 R11: ffffffffbcb46328 R12: 0000000000000000 [ 364.049597] R13: 0000000000000001 R14: ffff88b7c19c0700 R15: ffff88b7c9059800 [ 364.049599] FS: 00007fb2d3516e80(0000) GS:ffff88bb0f500000(0000) knlGS:0000000000000000 [ 364.049601] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [ 364.049603] CR2: 000055610bd03598 CR3: 00000001049f6000 CR4: 0000000000350ef0 [ 364.049605] Call Trace: [ 364.049607] [ 364.049609] ? show_regs+0x6d/0x80 [ 364.049614] ? __warn+0x8c/0x140 [ 364.049618] ? debug_dma_map_sg+0x2dc/0x370 [ 364.049621] ? report_bug+0x193/0x1a0 [ 364.049627] ? handle_bug+0x46/0x80 [ 364.049631] ? exc_invalid_op+0x1d/0x80 [ 364.049635] ? asm_exc_invalid_op+0x1f/0x30 [ 364.049642] ? debug_dma_map_sg+0x2dc/0x370 [ 364.049647] __dma_map_sg_attrs+0x90/0xe0 [ 364.049651] dma_map_sgtable+0x25/0x40 [ 364.049654] amdgpu_bo_move+0x59a/0x850 [amdgpu] [ 364.049935] ? srso_return_thunk+0x5/0x5f [ 364.049939] ? amdgpu_ttm_tt_populate+0x5d/0xc0 [amdgpu] [ 364.050095] ttm_bo_handle_move_mem+0xc3/0x180 [ttm] [ 364.050103] ttm_bo_validate+0xc1/0x160 [ttm] [ 364.050108] ? amdgpu_ttm_tt_get_user_pages+0xe5/0x1b0 [amdgpu] [ 364.050263] amdgpu_amdkfd_gpuvm_alloc_memory_of_gpu+0xa12/0xc90 [amdgpu] [ 364.050473] kfd_ioctl_alloc_memory_of_gpu+0x16b/0x3b0 [amdgpu] [ 364.050680] kfd_ioctl+0x3c2/0x530 [amdgpu] [ 364.050866] ? __pfx_kfd_ioctl_alloc_memory_of_gpu+0x10/0x10 [amdgpu] [ 364.05105 ---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.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 4.2 To (excluding) 5.4.287

Linux>>Linux_kernel >> Version From (including) 5.5 To (excluding) 5.10.231

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.174

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 6.1.120

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.66

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.12.5

References