CVE-2022-48762
June 20, 2024, 12:43 p.m.
None
No Score
Description
In the Linux kernel, the following vulnerability has been resolved:
arm64: extable: fix load_unaligned_zeropad() reg indices
In ex_handler_load_unaligned_zeropad() we erroneously extract the data and
addr register indices from ex->type rather than ex->data. As ex->type will
contain EX_TYPE_LOAD_UNALIGNED_ZEROPAD (i.e. 4):
* We'll always treat X0 as the address register, since EX_DATA_REG_ADDR is
extracted from bits [9:5]. Thus, we may attempt to dereference an
arbitrary address as X0 may hold an arbitrary value.
* We'll always treat X4 as the data register, since EX_DATA_REG_DATA is
extracted from bits [4:0]. Thus we will corrupt X4 and cause arbitrary
behaviour within load_unaligned_zeropad() and its caller.
Fix this by extracting both values from ex->data as originally intended.
On an MTE-enabled QEMU image we are hitting the following crash:
Unable to handle kernel NULL pointer dereference at virtual address 0000000000000000
Call trace:
fixup_exception+0xc4/0x108
__do_kernel_fault+0x3c/0x268
do_tag_check_fault+0x3c/0x104
do_mem_abort+0x44/0xf4
el1_abort+0x40/0x64
el1h_64_sync_handler+0x60/0xa0
el1h_64_sync+0x7c/0x80
link_path_walk+0x150/0x344
path_openat+0xa0/0x7dc
do_filp_open+0xb8/0x168
do_sys_openat2+0x88/0x17c
__arm64_sys_openat+0x74/0xa0
invoke_syscall+0x48/0x148
el0_svc_common+0xb8/0xf8
do_el0_svc+0x28/0x88
el0_svc+0x24/0x84
el0t_64_sync_handler+0x88/0xec
el0t_64_sync+0x1b4/0x1b8
Code: f8695a69 71007d1f 540000e0 927df12a (f940014a)
Product(s) Impacted
Product | Versions |
---|---|
Linux Kernel |
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Weaknesses
Common security weaknesses mapped to this vulnerability.
Tags
Timeline
Published: June 20, 2024, 12:15 p.m.
Last Modified: June 20, 2024, 12:43 p.m.
Last Modified: June 20, 2024, 12:43 p.m.
Status : Awaiting Analysis
CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.
More infoSource
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.