CVE-2023-52912

Sept. 12, 2024, 2:35 p.m.

5.5
Medium

Description

In the Linux kernel, the following vulnerability has been resolved: drm/amdgpu: Fixed bug on error when unloading amdgpu Fixed bug on error when unloading amdgpu. The error message is as follows: [ 377.706202] kernel BUG at drivers/gpu/drm/drm_buddy.c:278! [ 377.706215] invalid opcode: 0000 [#1] PREEMPT SMP NOPTI [ 377.706222] CPU: 4 PID: 8610 Comm: modprobe Tainted: G IOE 6.0.0-thomas #1 [ 377.706231] Hardware name: ASUS System Product Name/PRIME Z390-A, BIOS 2004 11/02/2021 [ 377.706238] RIP: 0010:drm_buddy_free_block+0x26/0x30 [drm_buddy] [ 377.706264] Code: 00 00 00 90 0f 1f 44 00 00 48 8b 0e 89 c8 25 00 0c 00 00 3d 00 04 00 00 75 10 48 8b 47 18 48 d3 e0 48 01 47 28 e9 fa fe ff ff <0f> 0b 0f 1f 84 00 00 00 00 00 0f 1f 44 00 00 41 54 55 48 89 f5 53 [ 377.706282] RSP: 0018:ffffad2dc4683cb8 EFLAGS: 00010287 [ 377.706289] RAX: 0000000000000000 RBX: ffff8b1743bd5138 RCX: 0000000000000000 [ 377.706297] RDX: ffff8b1743bd5160 RSI: ffff8b1743bd5c78 RDI: ffff8b16d1b25f70 [ 377.706304] RBP: ffff8b1743bd59e0 R08: 0000000000000001 R09: 0000000000000001 [ 377.706311] R10: ffff8b16c8572400 R11: ffffad2dc4683cf0 R12: ffff8b16d1b25f70 [ 377.706318] R13: ffff8b16d1b25fd0 R14: ffff8b1743bd59c0 R15: ffff8b16d1b25f70 [ 377.706325] FS: 00007fec56c72c40(0000) GS:ffff8b1836500000(0000) knlGS:0000000000000000 [ 377.706334] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [ 377.706340] CR2: 00007f9b88c1ba50 CR3: 0000000110450004 CR4: 00000000003706e0 [ 377.706347] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 [ 377.706354] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 [ 377.706361] Call Trace: [ 377.706365] <TASK> [ 377.706369] drm_buddy_free_list+0x2a/0x60 [drm_buddy] [ 377.706376] amdgpu_vram_mgr_fini+0xea/0x180 [amdgpu] [ 377.706572] amdgpu_ttm_fini+0x12e/0x1a0 [amdgpu] [ 377.706650] amdgpu_bo_fini+0x22/0x90 [amdgpu] [ 377.706727] gmc_v11_0_sw_fini+0x26/0x30 [amdgpu] [ 377.706821] amdgpu_device_fini_sw+0xa1/0x3c0 [amdgpu] [ 377.706897] amdgpu_driver_release_kms+0x12/0x30 [amdgpu] [ 377.706975] drm_dev_release+0x20/0x40 [drm] [ 377.707006] release_nodes+0x35/0xb0 [ 377.707014] devres_release_all+0x8b/0xc0 [ 377.707020] device_unbind_cleanup+0xe/0x70 [ 377.707027] device_release_driver_internal+0xee/0x160 [ 377.707033] driver_detach+0x44/0x90 [ 377.707039] bus_remove_driver+0x55/0xe0 [ 377.707045] pci_unregister_driver+0x3b/0x90 [ 377.707052] amdgpu_exit+0x11/0x6c [amdgpu] [ 377.707194] __x64_sys_delete_module+0x142/0x2b0 [ 377.707201] ? fpregs_assert_state_consistent+0x22/0x50 [ 377.707208] ? exit_to_user_mode_prepare+0x3e/0x190 [ 377.707215] do_syscall_64+0x38/0x90 [ 377.707221] entry_SYSCALL_64_after_hwframe+0x63/0xcd

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *, 6.2

Weaknesses

Common security weaknesses mapped to this vulnerability.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
o linux linux_kernel / / / / / / / /
o linux linux_kernel 6.2 rc1 / / / / / /
o linux linux_kernel 6.2 rc2 / / / / / /
o linux linux_kernel 6.2 rc3 / / / / / /

References

https://git.kernel.org/stable/c/9196eb7c52e55749a332974f0081f77d53d60199
https://git.kernel.org/stable/c/99f1a36c90a7524972be5a028424c57fa17753ee

Tags

416baaa9-dc9f-4396-8d5f-8c081fb06d67
NVD-CWE-noinfo
2024-08-21
CVE-2023-52912

CVSS Score

5.5 / 10

CVSS Data

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
    • View Vector String

    CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Date

  • Published: Aug. 21, 2024, 7:15 a.m.
  • Last Modified: Sept. 12, 2024, 2:35 p.m.

Status : Analyzed

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

416baaa9-dc9f-4396-8d5f-8c081fb06d67

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.