program: prlimit64(0x0, 0xe, &(0x7f0000000140)={0x8, 0x100008b}, 0x0) sched_setscheduler(0x0, 0x1, &(0x7f0000000180)=0x7) syz_emit_ethernet(0x7a, 0x0, 0x0) r0 = creat(&(0x7f0000000040)='./bus\x00', 0x18) write$cgroup_type(r0, &(0x7f0000000200), 0xf642e7e) accept$alg(r0, 0x0, 0x0) write(0xffffffffffffffff, &(0x7f0000000000)="148edb8de64c1bcdaed56f33d73d0e85b46b2b1bad0eb0e8e629edd963b2691f53ce796736df03a67a2ee9e84a5f9fda18f5b75606ac504df97f24", 0x3b) syz_mount_image$bcachefs(&(0x7f000000f640), &(0x7f0000000140)='./file1\x00', 0x0, &(0x7f0000000180)=ANY=[@ANYRESOCT=0x0], 0x2, 0xf607, &(0x7f000001ed40)="$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") [ 59.295433][ T5309] Bluetooth: hci0: command tx timeout [ 59.457895][ T5324] loop0: detected capacity change from 0 to 32768 [ 59.584512][ T5324] bcachefs (loop0): starting version 1.7: mi_btree_bitmap opts=metadata_checksum=none,data_checksum=none,compression=lz4,nojournal_transaction_names [ 59.590331][ T5324] bcachefs (loop0): recovering from clean shutdown, journal seq 13 [ 59.593506][ T5324] bcachefs (loop0): Version upgrade required: [ 59.593506][ T5324] Version upgrade from 0.32: (unknown version) to 1.7: mi_btree_bitmap incomplete [ 59.593506][ T5324] Doing incompatible version upgrade from 0.32: (unknown version) to 1.25: extent_flags [ 59.593506][ T5324] running recovery passes: check_allocations,check_extents_to_backpointers,check_snapshots,check_subvols,check_inodes,check_dirents,set_fs_needs_rebalance [ 59.616901][ T5324] bcachefs (loop0): error validating btree node on loop0 at btree inodes level 0/0 [ 59.616925][ T5324] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 2a20405ac3f40602 written 24 min_key POS_MIN durability: 1 ptr: 0:38:0 gen 0 [ 59.616935][ T5324] node offset 8/24 bset u64s 29: checksum error, type chacha20_poly1305_128: got f8456eb9a83e831f81f0fce6813a84d4 should be ef30dab84eb82d57729a51b00f54184b, shutting down [ 59.632782][ T5324] bcachefs (loop0): inconsistency detected - emergency read only at journal seq 13 [ 59.636455][ T5324] bcachefs (loop0): flagging btree inodes lost data [ 59.639534][ T5324] bcachefs (loop0): running explicit recovery pass check_topology (2), currently at recovery_pass_empty (0) [ 59.643722][ T5324] bcachefs (loop0): running explicit recovery pass check_lrus (14), currently at recovery_pass_empty (0) [ 59.648309][ T5324] bcachefs (loop0): running explicit recovery pass check_backpointers_to_extents (16), currently at recovery_pass_empty (0) [ 59.653257][ T5324] bcachefs (loop0): running explicit recovery pass scan_for_btree_nodes (1), currently at recovery_pass_empty (0) [ 59.659987][ T5324] error reading btree root btree=inodes level=0: btree_node_read_error, fixing [ 59.664802][ T5324] bcachefs (loop0): error validating btree node on loop0 at btree dirents level 0/0 [ 59.664816][ T5324] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 267fcf747c875937 written 24 min_key POS_MIN durability: 1 ptr: 0:41:0 gen 0 [ 59.664825][ T5324] node offset 16/24 bset u64s 36: checksum error, type chacha20_poly1305_128: got 7de6e8d5f746aa5bd78a5bd3a987f105 should be 9c0f2415a667f93682c3af0cd44ed5f4, shutting down [ 59.680384][ T5324] bcachefs (loop0): flagging btree dirents lost data [ 59.683501][ T5324] error reading btree root btree=dirents level=0: btree_node_read_error, fixing [ 59.689317][ T5324] bcachefs (loop0): error validating btree node on loop0 at btree alloc level 0/0 [ 59.689337][ T5324] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 1818ce08861e3527 written 40 min_key 0:0:129 durability: 1 ptr: 0:26:0 gen 0 [ 59.689348][ T5324] node offset 0/40 bset u64s 0: checksum error, type chacha20_poly1305_128: got 1832da49336ee2ecd90e1c963a08e9d6 should be a1c0cae4d1c6eac9087fba7ada6f601b, shutting down [ 59.705023][ T5324] bcachefs (loop0): flagging btree alloc lost data [ 59.707481][ T5324] bcachefs (loop0): running explicit recovery pass check_alloc_info (13), currently at recovery_pass_empty (0) [ 59.712253][ T5324] error reading btree root btree=alloc level=0: btree_node_read_error, fixing [ 59.725899][ T5324] bcachefs (loop0): error validating btree node on loop0 at btree freespace level 0/0 [ 59.725916][ T5324] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq b6c44d07df4e9bb7 written 48 min_key POS_MIN durability: 1 ptr: 0:29:0 gen 0 [ 59.725926][ T5324] node offset 8/48 bset u64s 35: checksum error, type chacha20_poly1305_128: got 3135a419a6cfc329de0d08c1745f26a7 should be 696606121d98d113a1b1dc69c6e72339, shutting down [ 59.742010][ T5324] bcachefs (loop0): flagging btree freespace lost data [ 59.746201][ T5324] error reading btree root btree=freespace level=0: btree_node_read_error, fixing [ 59.755895][ T5324] bcachefs (loop0): scan_for_btree_nodes... [ 59.761418][ T5334] invalid bkey in btree_node btree=inodes level=0: u64s 18 type inode_v3 0:4100:U32_MAX len 0 ver 0: (unpack error) [ 59.761439][ T5334] invalid variable length fields: delete?, fixing [ 59.777874][ T5324] bcachefs (loop0): btree node scan found 7 nodes after overwrites [ 59.781588][ T5324] done [ 59.782752][ T5324] bcachefs (loop0): check_topology... [ 59.784102][ T5324] bcachefs (loop0): btree root inodes unreadable, must recover from scan [ 59.789522][ T5324] bcachefs (loop0): bch2_get_scanned_nodes(): recovery btree=inodes level=0 POS_MIN - SPOS_MAX [ 59.793872][ T5324] bcachefs (loop0): bch2_get_scanned_nodes(): recovering u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 2a20405ac3f40602 written 24 min_key POS_MIN durability: 1 ptr: 0:38:0 gen 0 [ 59.804820][ T37] bcachefs (loop0): error validating btree node on loop0 at btree inodes level 0/0 [ 59.804846][ T37] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 2a20405ac3f40602 written 24 min_key POS_MIN durability: 1 ptr: 0:38:0 gen 0 [ 59.804855][ T37] node offset 8/24 bset u64s 29: checksum error, type chacha20_poly1305_128: got f8456eb9a83e831f81f0fce6813a84d4 should be ef30dab84eb82d57729a51b00f54184b, shutting down [ 59.822602][ T5324] Topology repair: unreadable btree node at [ 59.822621][ T5324] btree=inodes level=0 u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 2a20405ac3f40602 written 24 min_key POS_MIN durability: 1 ptr: 0:38:0 gen 0, fixing [ 59.833645][ T5324] empty interior btree node at btree=inodes level=1 [ 59.833659][ T5324] u64s 5 type btree_ptr SPOS_MAX len 0 ver 0, fixing [ 59.839059][ T5324] bcachefs (loop0): empty btree root inodes [ 59.841670][ T5324] bcachefs (loop0): btree root dirents unreadable, must recover from scan [ 59.845224][ T5324] bcachefs (loop0): bch2_get_scanned_nodes(): recovery btree=dirents level=0 POS_MIN - SPOS_MAX [ 59.849722][ T5324] bcachefs (loop0): bch2_get_scanned_nodes(): recovering u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 267fcf747c875937 written 24 min_key POS_MIN durability: 1 ptr: 0:41:0 gen 0 [ 59.858793][ T37] bcachefs (loop0): error validating btree node on loop0 at btree dirents level 0/0 [ 59.858806][ T37] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 267fcf747c875937 written 24 min_key POS_MIN durability: 1 ptr: 0:41:0 gen 0 [ 59.858814][ T37] node offset 16/24 bset u64s 36: checksum error, type chacha20_poly1305_128: got 7de6e8d5f746aa5bd78a5bd3a987f105 should be 9c0f2415a667f93682c3af0cd44ed5f4, shutting down [ 59.875875][ T5324] Topology repair: unreadable btree node at [ 59.875891][ T5324] btree=dirents level=0 u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 267fcf747c875937 written 24 min_key POS_MIN durability: 1 ptr: 0:41:0 gen 0, fixing [ 59.886367][ T5324] empty interior btree node at btree=dirents level=1 [ 59.886381][ T5324] u64s 5 type btree_ptr SPOS_MAX len 0 ver 0, fixing [ 59.891682][ T5324] bcachefs (loop0): empty btree root dirents [ 59.894054][ T5324] done [ 59.895176][ T5324] bcachefs (loop0): accounting_read... done [ 59.899391][ T5324] bcachefs (loop0): alloc_read... done [ 59.901603][ T5324] bcachefs (loop0): snapshots_read... done [ 59.904283][ T5324] bcachefs (loop0): check_allocations... [ 59.906364][ T5324] bucket 0:34 data type user ptr gen 0 missing in alloc btree [ 59.906383][ T5324] while marking u64s 8 type extent 4099:8:U32_MAX len 8 ver 1: durability: 1 crc: c_size 8 size 8 offset 0 nonce 0 csum chacha20_poly1305_80 e371:ac69b75b10c57971 compress incompressible ptr: 0:34:0 gen 0, fixing [ 59.921861][ T5324] bucket 0:27 data type btree ptr gen 0 missing in alloc btree [ 59.921875][ T5324] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 4e0410879b0c2f04 written 16 min_key POS_MIN durability: 1 ptr: 0:27:0 gen 0, fixing [ 59.931284][ T5324] bucket 0:31 data type btree ptr gen 0 missing in alloc btree [ 59.931298][ T5324] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 1b881868e2a6abe1 written 16 min_key POS_MIN durability: 1 ptr: 0:31:0 gen 0, fixing [ 59.940970][ T5324] bucket 0:35 data type btree ptr gen 0 missing in alloc btree [ 59.940982][ T5324] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq d682cebdf2a7eb26 written 16 min_key POS_MIN durability: 1 ptr: 0:35:0 gen 0, fixing [ 59.949920][ T5324] bucket 0:32 data type btree ptr gen 0 missing in alloc btree [ 59.949940][ T5324] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq d771a06d670df06c written 16 min_key POS_MIN durability: 1 ptr: 0:32:0 gen 0, fixing [ 59.958522][ T5324] bucket 0:28 data type btree ptr gen 0 missing in alloc btree [ 59.958534][ T5324] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 93dda84068e88b3f written 16 min_key POS_MIN durability: 1 ptr: 0:28:0 gen 0, fixing [ 59.967166][ T5324] bucket 0:36 data type btree ptr gen 0 missing in alloc btree [ 59.967180][ T5324] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 3b468546fb27822d written 24 min_key POS_MIN durability: 1 ptr: 0:36:0 gen 0, fixing [ 59.976349][ T5324] bucket 0:40 data type btree ptr gen 0 missing in alloc btree [ 59.976364][ T5324] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 82036bda63714c10 written 8 min_key POS_MIN durability: 1 ptr: 0:40:0 gen 0, fixing [ 59.990036][ T5324] done [ 59.991517][ T5324] bcachefs (loop0): going read-write [ 59.997330][ T5324] bcachefs (loop0): journal_replay... [ 59.997400][ T5324] bcachefs (loop0): bch2_journal_replay(): error journal_shutdown [ 60.003189][ T5324] bcachefs (loop0): bch2_fs_recovery(): error journal_shutdown [ 60.005921][ T5324] bcachefs (loop0): bch2_fs_start(): error starting filesystem journal_shutdown [ 60.009732][ T5324] bcachefs (loop0): shutting down [ 60.011553][ T5324] bcachefs (loop0): going read-only [ 60.013649][ T5324] bcachefs (loop0): flushing journal and stopping allocators, journal seq 13 [ 60.016923][ T5324] bcachefs (loop0): flushing journal and stopping allocators complete, journal seq 13 [ 60.021045][ T5324] bcachefs (loop0): unclean shutdown complete, journal seq 13 [ 60.025568][ T5324] bcachefs (loop0): finished waiting for writes to stop [ 60.028254][ T5324] bcachefs (loop0): done going read-only, filesystem not clean [ 60.049217][ T5324] bcachefs (loop0): shutdown complete [ 60.052263][ T1135] ================================================================== [ 60.055175][ T1135] BUG: KASAN: slab-use-after-free in percpu_ref_put+0xda/0x250 [ 60.057919][ T1135] Read of size 8 at addr ffff88805552e0b0 by task kworker/u4:9/1135 [ 60.060978][ T1135] [ 60.061865][ T1135] CPU: 0 UID: 0 PID: 1135 Comm: kworker/u4:9 Not tainted 6.14.0-syzkaller-10167-g93d52288679e #0 PREEMPT(full) [ 60.061881][ T1135] Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS 1.16.3-debian-1.16.3-2~bpo12+1 04/01/2014 [ 60.061889][ T1135] Workqueue: loop0 loop_workfn [ 60.061905][ T1135] Call Trace: [ 60.061911][ T1135] [ 60.061916][ T1135] dump_stack_lvl+0x241/0x360 [ 60.061934][ T1135] ? __pfx_dump_stack_lvl+0x10/0x10 [ 60.061944][ T1135] ? __virt_addr_valid+0x183/0x530 [ 60.061954][ T1135] ? rcu_is_watching+0x15/0xb0 [ 60.061964][ T1135] ? __virt_addr_valid+0x183/0x530 [ 60.061972][ T1135] ? lock_release+0x4e/0x3e0 [ 60.061979][ T1135] ? __virt_addr_valid+0x183/0x530 [ 60.061988][ T1135] ? __virt_addr_valid+0x183/0x530 [ 60.061996][ T1135] print_report+0x16e/0x5b0 [ 60.062008][ T1135] ? __virt_addr_valid+0x183/0x530 [ 60.062016][ T1135] ? __virt_addr_valid+0x183/0x530 [ 60.062024][ T1135] ? __virt_addr_valid+0x45f/0x530 [ 60.062032][ T1135] ? __phys_addr+0xba/0x170 [ 60.062042][ T1135] ? percpu_ref_put+0xda/0x250 [ 60.062054][ T1135] kasan_report+0x143/0x180 [ 60.062068][ T1135] ? percpu_ref_put+0xda/0x250 [ 60.062080][ T1135] ? percpu_ref_put+0x1f/0x250 [ 60.062090][ T1135] percpu_ref_put+0xda/0x250 [ 60.062101][ T1135] blk_update_request+0x5e5/0x1160 [ 60.062118][ T1135] blk_mq_end_request+0x3e/0x70 [ 60.062131][ T1135] loop_process_work+0x1bdf/0x21d0 [ 60.062145][ T1135] ? __pfx_loop_process_work+0x10/0x10 [ 60.062155][ T1135] ? do_raw_spin_unlock+0x58/0x8b0 [ 60.062172][ T1135] ? do_raw_spin_lock+0x151/0x370 [ 60.062185][ T1135] ? do_raw_spin_unlock+0x58/0x8b0 [ 60.062200][ T1135] ? look_up_lock_class+0x7b/0x170 [ 60.062256][ T1135] ? register_lock_class+0x54/0x330 [ 60.062267][ T1135] ? __lock_acquire+0xad5/0xd80 [ 60.062282][ T1135] ? process_scheduled_works+0x9cb/0x18e0 [ 60.062296][ T1135] process_scheduled_works+0xac3/0x18e0 [ 60.062312][ T1135] ? __pfx_process_scheduled_works+0x10/0x10 [ 60.062327][ T1135] ? assign_work+0x367/0x3d0 [ 60.062339][ T1135] worker_thread+0x870/0xd50 [ 60.062353][ T1135] ? __kthread_parkme+0x1a8/0x200 [ 60.062366][ T1135] ? __pfx_worker_thread+0x10/0x10 [ 60.062377][ T1135] kthread+0x7b7/0x940 [ 60.062390][ T1135] ? __pfx_worker_thread+0x10/0x10 [ 60.062401][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.062412][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.062425][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.062436][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.062448][ T1135] ? _raw_spin_unlock_irq+0x23/0x50 [ 60.062461][ T1135] ? lockdep_hardirqs_on+0x9d/0x150 [ 60.062473][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.062485][ T1135] ret_from_fork+0x4b/0x80 [ 60.062497][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.062510][ T1135] ret_from_fork_asm+0x1a/0x30 [ 60.062523][ T1135] [ 60.062526][ T1135] [ 60.164772][ T1135] Allocated by task 5324: [ 60.166372][ T1135] kasan_save_track+0x3f/0x80 [ 60.168263][ T1135] __kasan_kmalloc+0x9d/0xb0 [ 60.170131][ T1135] __kmalloc_cache_noprof+0x236/0x370 [ 60.172052][ T1135] __bch2_dev_alloc+0x57/0xa60 [ 60.173738][ T1135] bch2_dev_alloc+0xd6/0x180 [ 60.175358][ T1135] bch2_fs_open+0x315f/0x32a0 [ 60.177144][ T1135] bch2_fs_get_tree+0x77b/0x18d0 [ 60.179024][ T1135] vfs_get_tree+0x90/0x2b0 [ 60.180710][ T1135] do_new_mount+0x2cf/0xb70 [ 60.182434][ T1135] __se_sys_mount+0x38c/0x400 [ 60.183973][ T1135] do_syscall_64+0xf3/0x230 [ 60.185567][ T1135] entry_SYSCALL_64_after_hwframe+0x77/0x7f [ 60.187603][ T1135] [ 60.188438][ T1135] Freed by task 5324: [ 60.189810][ T1135] kasan_save_track+0x3f/0x80 [ 60.191418][ T1135] kasan_save_free_info+0x40/0x50 [ 60.193194][ T1135] __kasan_slab_free+0x59/0x70 [ 60.194869][ T1135] kfree+0x198/0x430 [ 60.196281][ T1135] kobject_put+0x22f/0x480 [ 60.197816][ T1135] bch2_fs_free+0x27b/0x3c0 [ 60.199449][ T1135] deactivate_locked_super+0xc4/0x130 [ 60.201345][ T1135] bch2_fs_get_tree+0xd41/0x18d0 [ 60.203090][ T1135] vfs_get_tree+0x90/0x2b0 [ 60.204743][ T1135] do_new_mount+0x2cf/0xb70 [ 60.206382][ T1135] __se_sys_mount+0x38c/0x400 [ 60.208068][ T1135] do_syscall_64+0xf3/0x230 [ 60.209644][ T1135] entry_SYSCALL_64_after_hwframe+0x77/0x7f [ 60.211752][ T1135] [ 60.212634][ T1135] Last potentially related work creation: [ 60.214646][ T1135] kasan_save_stack+0x3f/0x60 [ 60.216333][ T1135] kasan_record_aux_stack+0xbf/0xd0 [ 60.218205][ T1135] insert_work+0x3e/0x330 [ 60.219734][ T1135] __queue_work+0xda3/0x10a0 [ 60.221369][ T1135] queue_work_on+0x1c4/0x380 [ 60.223042][ T1135] bch2_dev_do_invalidates+0x17a/0x1f0 [ 60.225016][ T1135] bch2_do_invalidates+0x29/0x60 [ 60.226757][ T1135] __bch2_fs_read_write+0x386/0x3b0 [ 60.228596][ T1135] bch2_run_recovery_pass+0xf0/0x1e0 [ 60.230450][ T1135] bch2_run_recovery_passes+0x2ad/0xa90 [ 60.232388][ T1135] bch2_fs_recovery+0x292a/0x3e20 [ 60.234313][ T1135] bch2_fs_start+0x37c/0x620 [ 60.236405][ T1135] bch2_fs_get_tree+0x1270/0x18d0 [ 60.238697][ T1135] vfs_get_tree+0x90/0x2b0 [ 60.240833][ T1135] do_new_mount+0x2cf/0xb70 [ 60.243009][ T1135] __se_sys_mount+0x38c/0x400 [ 60.245323][ T1135] do_syscall_64+0xf3/0x230 [ 60.247228][ T1135] entry_SYSCALL_64_after_hwframe+0x77/0x7f [ 60.249672][ T1135] [ 60.250888][ T1135] Second to last potentially related work creation: [ 60.254201][ T1135] kasan_save_stack+0x3f/0x60 [ 60.256509][ T1135] kasan_record_aux_stack+0xbf/0xd0 [ 60.258515][ T1135] insert_work+0x3e/0x330 [ 60.260219][ T1135] __queue_work+0xda3/0x10a0 [ 60.261908][ T1135] queue_work_on+0x1c4/0x380 [ 60.263566][ T1135] bch2_dev_do_discards+0x17a/0x1f0 [ 60.265659][ T1135] bch2_do_discards+0x29/0x60 [ 60.267572][ T1135] __bch2_fs_read_write+0x37e/0x3b0 [ 60.269707][ T1135] bch2_run_recovery_pass+0xf0/0x1e0 [ 60.271772][ T1135] bch2_run_recovery_passes+0x2ad/0xa90 [ 60.273827][ T1135] bch2_fs_recovery+0x292a/0x3e20 [ 60.275711][ T1135] bch2_fs_start+0x37c/0x620 [ 60.277457][ T1135] bch2_fs_get_tree+0x1270/0x18d0 [ 60.279204][ T1135] vfs_get_tree+0x90/0x2b0 [ 60.280797][ T1135] do_new_mount+0x2cf/0xb70 [ 60.282413][ T1135] __se_sys_mount+0x38c/0x400 [ 60.284271][ T1135] do_syscall_64+0xf3/0x230 [ 60.286097][ T1135] entry_SYSCALL_64_after_hwframe+0x77/0x7f [ 60.288349][ T1135] [ 60.289272][ T1135] The buggy address belongs to the object at ffff88805552e000 [ 60.289272][ T1135] which belongs to the cache kmalloc-4k of size 4096 [ 60.294484][ T1135] The buggy address is located 176 bytes inside of [ 60.294484][ T1135] freed 4096-byte region [ffff88805552e000, ffff88805552f000) [ 60.300034][ T1135] [ 60.301063][ T1135] The buggy address belongs to the physical page: [ 60.303584][ T1135] page: refcount:0 mapcount:0 mapping:0000000000000000 index:0x0 pfn:0x55528 [ 60.307078][ T1135] head: order:3 mapcount:0 entire_mapcount:0 nr_pages_mapped:0 pincount:0 [ 60.310329][ T1135] flags: 0x4fff00000000040(head|node=1|zone=1|lastcpupid=0x7ff) [ 60.313349][ T1135] page_type: f5(slab) [ 60.315037][ T1135] raw: 04fff00000000040 ffff88801b042140 dead000000000122 0000000000000000 [ 60.318286][ T1135] raw: 0000000000000000 0000000000040004 00000000f5000000 0000000000000000 [ 60.321518][ T1135] head: 04fff00000000040 ffff88801b042140 dead000000000122 0000000000000000 [ 60.324711][ T1135] head: 0000000000000000 0000000000040004 00000000f5000000 0000000000000000 [ 60.327742][ T1135] head: 04fff00000000003 ffffea0001554a01 ffffffffffffffff 0000000000000000 [ 60.330865][ T1135] head: 0000000000000008 0000000000000000 00000000ffffffff 0000000000000000 [ 60.333994][ T1135] page dumped because: kasan: bad access detected [ 60.336399][ T1135] page_owner tracks the page as allocated [ 60.338470][ T1135] page last allocated via order 3, migratetype Unmovable, gfp_mask 0xd2040(__GFP_IO|__GFP_NOWARN|__GFP_NORETRY|__GFP_COMP|__GFP_NOMEMALLOC), pid 5304, tgid 5304 (udevd), ts 59491990129, free_ts 0 [ 60.345224][ T1135] post_alloc_hook+0x1f4/0x240 [ 60.347004][ T1135] get_page_from_freelist+0x3695/0x37e0 [ 60.349063][ T1135] __alloc_frozen_pages_noprof+0x2c5/0x7b0 [ 60.351219][ T1135] alloc_pages_mpol+0x339/0x690 [ 60.353010][ T1135] allocate_slab+0x8f/0x3a0 [ 60.354667][ T1135] ___slab_alloc+0xc3b/0x1500 [ 60.356420][ T1135] __slab_alloc+0x58/0xa0 [ 60.358029][ T1135] __kmalloc_noprof+0x2ea/0x4d0 [ 60.359848][ T1135] tomoyo_realpath_from_path+0xcf/0x5e0 [ 60.361998][ T1135] tomoyo_path2_perm+0x37d/0x8e0 [ 60.363872][ T1135] tomoyo_path_rename+0x19a/0x1f0 [ 60.365810][ T1135] security_path_rename+0x266/0x4e0 [ 60.367746][ T1135] do_renameat2+0x847/0x1290 [ 60.369517][ T1135] __x64_sys_rename+0x82/0x90 [ 60.371304][ T1135] do_syscall_64+0xf3/0x230 [ 60.373089][ T1135] entry_SYSCALL_64_after_hwframe+0x77/0x7f [ 60.375338][ T1135] page_owner free stack trace missing [ 60.377357][ T1135] [ 60.378280][ T1135] Memory state around the buggy address: [ 60.380328][ T1135] ffff88805552df80: fc fc fc fc fc fc fc fc fc fc fc fc fc fc fc fc [ 60.383298][ T1135] ffff88805552e000: fa fb fb fb fb fb fb fb fb fb fb fb fb fb fb fb [ 60.386245][ T1135] >ffff88805552e080: fb fb fb fb fb fb fb fb fb fb fb fb fb fb fb fb [ 60.389185][ T1135] ^ [ 60.391240][ T1135] ffff88805552e100: fb fb fb fb fb fb fb fb fb fb fb fb fb fb fb fb [ 60.394211][ T1135] ffff88805552e180: fb fb fb fb fb fb fb fb fb fb fb fb fb fb fb fb [ 60.397181][ T1135] ================================================================== [ 60.440842][ T1135] Kernel panic - not syncing: KASAN: panic_on_warn set ... [ 60.443798][ T1135] CPU: 0 UID: 0 PID: 1135 Comm: kworker/u4:9 Not tainted 6.14.0-syzkaller-10167-g93d52288679e #0 PREEMPT(full) [ 60.448546][ T1135] Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS 1.16.3-debian-1.16.3-2~bpo12+1 04/01/2014 [ 60.452816][ T1135] Workqueue: loop0 loop_workfn [ 60.454817][ T1135] Call Trace: [ 60.456186][ T1135] [ 60.457431][ T1135] dump_stack_lvl+0x241/0x360 [ 60.459368][ T1135] ? __pfx_dump_stack_lvl+0x10/0x10 [ 60.461431][ T1135] ? __pfx__printk+0x10/0x10 [ 60.463303][ T1135] ? vscnprintf+0x5d/0x90 [ 60.465192][ T1135] panic+0x349/0x880 [ 60.466832][ T1135] ? check_panic_on_warn+0x21/0xb0 [ 60.468945][ T1135] ? __pfx_panic+0x10/0x10 [ 60.470788][ T1135] ? _raw_spin_unlock_irqrestore+0x134/0x140 [ 60.473249][ T1135] ? __pfx__raw_spin_unlock_irqrestore+0x10/0x10 [ 60.475710][ T1135] ? print_report+0x519/0x5b0 [ 60.477679][ T1135] check_panic_on_warn+0x86/0xb0 [ 60.479678][ T1135] ? percpu_ref_put+0xda/0x250 [ 60.481649][ T1135] end_report+0x77/0x160 [ 60.483379][ T1135] kasan_report+0x154/0x180 [ 60.485281][ T1135] ? percpu_ref_put+0xda/0x250 [ 60.487228][ T1135] ? percpu_ref_put+0x1f/0x250 [ 60.489198][ T1135] percpu_ref_put+0xda/0x250 [ 60.491076][ T1135] blk_update_request+0x5e5/0x1160 [ 60.493146][ T1135] blk_mq_end_request+0x3e/0x70 [ 60.495119][ T1135] loop_process_work+0x1bdf/0x21d0 [ 60.497224][ T1135] ? __pfx_loop_process_work+0x10/0x10 [ 60.499387][ T1135] ? do_raw_spin_unlock+0x58/0x8b0 [ 60.501436][ T1135] ? do_raw_spin_lock+0x151/0x370 [ 60.503496][ T1135] ? do_raw_spin_unlock+0x58/0x8b0 [ 60.505816][ T1135] ? look_up_lock_class+0x7b/0x170 [ 60.507968][ T1135] ? register_lock_class+0x54/0x330 [ 60.510137][ T1135] ? __lock_acquire+0xad5/0xd80 [ 60.512192][ T1135] ? process_scheduled_works+0x9cb/0x18e0 [ 60.514491][ T1135] process_scheduled_works+0xac3/0x18e0 [ 60.516598][ T1135] ? __pfx_process_scheduled_works+0x10/0x10 [ 60.518973][ T1135] ? assign_work+0x367/0x3d0 [ 60.520929][ T1135] worker_thread+0x870/0xd50 [ 60.522851][ T1135] ? __kthread_parkme+0x1a8/0x200 [ 60.524984][ T1135] ? __pfx_worker_thread+0x10/0x10 [ 60.527066][ T1135] kthread+0x7b7/0x940 [ 60.528726][ T1135] ? __pfx_worker_thread+0x10/0x10 [ 60.530801][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.532675][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.534570][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.536481][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.538395][ T1135] ? _raw_spin_unlock_irq+0x23/0x50 [ 60.540489][ T1135] ? lockdep_hardirqs_on+0x9d/0x150 [ 60.542577][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.544512][ T1135] ret_from_fork+0x4b/0x80 [ 60.546354][ T1135] ? __pfx_kthread+0x10/0x10 [ 60.548125][ T1135] ret_from_fork_asm+0x1a/0x30 [ 60.550069][ T1135] [ 60.551649][ T1135] Kernel Offset: disabled [ 60.553471][ T1135] Rebooting in 86400 seconds..