CVE-2023-52848
May 21, 2024, 4:53 p.m.
None
No Score
Description
In the Linux kernel, the following vulnerability has been resolved:
f2fs: fix to drop meta_inode's page cache in f2fs_put_super()
syzbot reports a kernel bug as below:
F2FS-fs (loop1): detect filesystem reference count leak during umount, type: 10, count: 1
kernel BUG at fs/f2fs/super.c:1639!
CPU: 0 PID: 15451 Comm: syz-executor.1 Not tainted 6.5.0-syzkaller-09338-ge0152e7481c6 #0
RIP: 0010:f2fs_put_super+0xce1/0xed0 fs/f2fs/super.c:1639
Call Trace:
generic_shutdown_super+0x161/0x3c0 fs/super.c:693
kill_block_super+0x3b/0x70 fs/super.c:1646
kill_f2fs_super+0x2b7/0x3d0 fs/f2fs/super.c:4879
deactivate_locked_super+0x9a/0x170 fs/super.c:481
deactivate_super+0xde/0x100 fs/super.c:514
cleanup_mnt+0x222/0x3d0 fs/namespace.c:1254
task_work_run+0x14d/0x240 kernel/task_work.c:179
resume_user_mode_work include/linux/resume_user_mode.h:49 [inline]
exit_to_user_mode_loop kernel/entry/common.c:171 [inline]
exit_to_user_mode_prepare+0x210/0x240 kernel/entry/common.c:204
__syscall_exit_to_user_mode_work kernel/entry/common.c:285 [inline]
syscall_exit_to_user_mode+0x1d/0x60 kernel/entry/common.c:296
do_syscall_64+0x44/0xb0 arch/x86/entry/common.c:86
entry_SYSCALL_64_after_hwframe+0x63/0xcd
In f2fs_put_super(), it tries to do sanity check on dirty and IO
reference count of f2fs, once there is any reference count leak,
it will trigger panic.
The root case is, during f2fs_put_super(), if there is any IO error
in f2fs_wait_on_all_pages(), we missed to truncate meta_inode's page
cache later, result in panic, fix this case.
Product(s) Impacted
Product | Versions |
---|---|
Linux kernel |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
Tags
Timeline
Published: May 21, 2024, 4:15 p.m.
Last Modified: May 21, 2024, 4:53 p.m.
Last Modified: May 21, 2024, 4:53 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
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.