program:
r0 = syz_open_dev$evdev(&(0x7f0000000040), 0x0, 0x0)
r1 = socket$packet(0x11, 0x3, 0x300)
setsockopt$packet_int(r1, 0x107, 0xf, &(0x7f0000000100)=0x9, 0x4)
ioctl$sock_SIOCGIFINDEX(r1, 0x8933, &(0x7f0000000040)={'bridge0\x00', <r2=>0x0})
sendto$packet(r1, &(0x7f00000002c0)="05031400d3fc140000004788031c09102c28", 0xfce0, 0x4, &(0x7f0000000140)={0x11, 0x0, r2, 0x1, 0x0, 0x6, @multicast}, 0x14)
syz_usb_disconnect(r0)
r3 = syz_usb_connect(0x3, 0x1b, &(0x7f0000010140)={{0x12, 0x1, 0x0, 0x1a, 0x20, 0xd3, 0x8, 0x46d, 0x8ad, 0x4503, 0x1, 0x2, 0x3, 0x1, [{{0x9, 0x2, 0x9}}]}}, 0x0)
ioctl$EVIOCRMFF(r0, 0x40045506, &(0x7f0000000400)=0x166)
r4 = socket(0x22, 0x1, 0x800)
sendmsg$nl_route_sched(r4, &(0x7f0000000100)={0x0, 0x0, &(0x7f00000000c0)={&(0x7f0000000280)=@newtaction={0x60, 0x30, 0x53b, 0x0, 0x0, {0x9}, [{0x4c, 0x1, [@m_sample={0x48, 0x1, 0x0, 0x0, {{0xb}, {0x1c, 0x2, 0x0, 0x1, [@TCA_SAMPLE_PARMS={0x18, 0x2, {0x0, 0x0, 0x10000000}}]}, {0x4}, {0xc}, {0xc, 0x4}}}]}]}, 0x60}}, 0x0)
syz_mount_image$bcachefs(&(0x7f000000f640), &(0x7f0000000000)='./file0\x00', 0x2a18414, &(0x7f0000000040)={[{@version_upgrade={'version_upgrade', 0x3d, 'compatible'}}, {@nocow_enabled}, {@journal_flush_disabled}, {@errors_continue}, {@background_compression={'background_compression', 0x3d, 'lz4'}}, {@btree_node_mem_ptr_optimization}, {@grpquota}, {@verbose}]}, 0x1, 0xf63a, &(0x7f000001ed40)="$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")
r5 = syz_init_net_socket$nl_generic(0x10, 0x3, 0x10)
ioctl$AUTOFS_DEV_IOCTL_VERSION(0xffffffffffffffff, 0xc0189371, &(0x7f0000000180)={{0x1, 0x1, 0x18, <r6=>r4}, './file0/../file0\x00'})
r7 = openat(0xffffffffffffff9c, &(0x7f0000000040)='.\x00', 0x0, 0x0)
r8 = openat$binder_debug(0xffffffffffffff9c, &(0x7f0000000040)='/sys/kernel/debug/binder/transactions\x00', 0x0, 0x0)
read$FUSE(r8, &(0x7f0000000480)={0x2020, 0x0, 0x0, <r9=>0x0, <r10=>0x0}, 0x2020)
r11 = syz_genetlink_get_family_id$netlbl_unlabel(&(0x7f00000003c0), r5)
bind$unix(r4, &(0x7f0000002900)=@file={0x1, './file0/../file0\x00'}, 0x6e)
sendmsg$NLBL_UNLABEL_C_STATICREMOVEDEF(r5, &(0x7f0000002500)={&(0x7f0000000380)={0x10, 0x0, 0x0, 0x20000000}, 0xc, &(0x7f00000024c0)={&(0x7f0000000400)={0x64, r11, 0x20, 0x70bd29, 0x25dfdbfc, {}, [@NLBL_UNLABEL_A_IPV4ADDR={0x8, 0x4, @multicast2}, @NLBL_UNLABEL_A_IPV4MASK={0x8, 0x5, @dev={0xac, 0x14, 0x14, 0x2e}}, @NLBL_UNLABEL_A_SECCTX={0x29, 0x7, 'system_u:object_r:userio_device_t:s0\x00'}, @NLBL_UNLABEL_A_IFACE={0x14, 0x6, 'dummy0\x00'}]}, 0x64}, 0x1, 0x0, 0x0, 0x24000095}, 0x4040885)
fchown(r7, r9, r10)
syz_usb_control_io$uac1(r3, &(0x7f00000025c0)={0x14, &(0x7f0000002540)={0x0, 0x8, 0xd, {0xd, 0x1, "a9fc0f2ceb099698ff93d9"}}, &(0x7f0000002580)={0x0, 0x3, 0x4, @lang_id={0x4, 0x3, 0x804}}}, &(0x7f0000002880)={0x44, &(0x7f0000002600)={0x0, 0xe, 0x7d, "30a981b33766eb9c2cc9249dff146216a3d3891d452e2de6495f438c2d2cf1805162c44a21852c1695339fd429ce610b3ff770d63ae5699a4e77693cf0a39e64cbfdd6fd0d6314ba05dd7e857652198366e06908538600e4a70307d9d51f461da2cf00466903ccf74b43975fd2f7b12cf044c1ceacf2a6e6bc3502142c"}, &(0x7f00000026c0)={0x0, 0xa, 0x1, 0x9}, &(0x7f0000002700)={0x0, 0x8, 0x1, 0xb}, &(0x7f0000002740)={0x20, 0x81, 0x2, "fe42"}, &(0x7f0000002780)={0x20, 0x82, 0x1, "fd"}, &(0x7f00000027c0)={0x20, 0x83, 0x1, "b9"}, &(0x7f0000002800)={0x20, 0x84, 0x4, "031a9ae9"}, &(0x7f0000002840)={0x20, 0x85, 0x3, "780f2a"}})
sendmsg$NBD_CMD_DISCONNECT(r5, &(0x7f0000000340)={&(0x7f0000000140)={0x10, 0x0, 0x0, 0x200000}, 0xc, &(0x7f0000000300)={&(0x7f00000001c0)={0x84, 0x0, 0x4, 0x70bd2c, 0x25dfdbfc, {}, [@NBD_ATTR_SIZE_BYTES={0xc, 0x2, 0xfffffffffffffff8}, @NBD_ATTR_SOCKETS={0x4c, 0x7, 0x0, 0x1, [{0x8, 0x1, r4}, {0x8, 0x1, r6}, {0x8, 0x1, r4}, {0x8, 0x1, r4}, {0x8, 0x1, r4}, {0x8, 0x1, r7}, {0x8, 0x1, r4}, {0x8, 0x1, r4}, {0x8, 0x1, r4}]}, @NBD_ATTR_SERVER_FLAGS={0xc, 0x5, 0x1}, @NBD_ATTR_SERVER_FLAGS={0xc}]}, 0x84}, 0x1, 0x0, 0x0, 0x400c0c1}, 0x0)

[   69.123943][ T4664] Bluetooth: hci0: command tx timeout
[   69.602939][    T9] usb 5-1: new high-speed USB device number 2 using dummy_hcd
[   69.750812][    T9] usb 5-1: Using ep0 maxpacket: 8
[   69.756553][    T9] usb 5-1: config 0 has no interfaces?
[   69.761939][    T9] usb 5-1: New USB device found, idVendor=046d, idProduct=08ad, bcdDevice=45.03
[   69.765461][    T9] usb 5-1: New USB device strings: Mfr=1, Product=2, SerialNumber=3
[   69.768498][    T9] usb 5-1: Product: syz
[   69.771564][    T9] usb 5-1: Manufacturer: syz
[   69.773287][    T9] usb 5-1: SerialNumber: syz
[   69.778543][    T9] usb 5-1: config 0 descriptor??
[   70.158787][ T5320] loop0: detected capacity change from 0 to 32768
[   70.242774][ T5320] bcachefs (loop0): starting version 1.7: mi_btree_bitmap opts=errors=continue,metadata_checksum=none,data_checksum=none,compression=lz4,background_compression=lz4,grpquota,journal_flush_disabled,nojournal_transaction_names
[   70.257753][ T5320] invalid bkey in superblock btree=extents level=0: 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
[   70.257769][ T5320]   size == 0: delete?, fixing
[   70.267852][ T5320] bcachefs (loop0): recovering from clean shutdown, journal seq 13
[   70.272755][ T5320] bcachefs (loop0): Version upgrade required:
[   70.272755][ T5320] Version upgrade from 0.19: freespace to 1.7: mi_btree_bitmap incomplete
[   70.272755][ T5320] Doing incompatible version upgrade from 0.19: freespace to 1.20: directory_size
[   70.272755][ T5320]   running recovery passes: check_allocations,check_alloc_info,check_lrus,check_btree_backpointers,check_backpointers_to_extents,check_extents_to_backpointers,check_alloc_to_lru_refs,bucket_gens_init,check_snapshot_trees,check_snapshots,check_subvols,check_subvol_children,delete_dead_snapshots,check_inodes,check_extents,check_indirect_extents,check_dirents,check_xattrs,check_root,check_unreachable_inodes,check_subvolume_structure,check_directory_structure,check_nlinks,set_fs_needs_rebalance
[   70.308603][ T5320] bcachefs (loop0): error validating btree node on loop0 at btree alloc level 0/0
[   70.308626][ T5320]   u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 1818ce08861e3527 written 40 min_key POS_MIN durability: 1 ptr: 0:26:0 gen 0  
[   70.308636][ T5320]   node offset 8/40 bset u64s 375: checksum error, type chacha20_poly1305_128: got 4ae48e8252d82f7a2b8575142b61bb3f should be 61ec379a8789477e76ff1a5280fd6dbd, fixing
[   70.325918][ T5320] bcachefs (loop0): error validating btree node at btree alloc level 0/0
[   70.325932][ T5320]   u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 1818ce08861e3527 written 40 min_key POS_MIN durability: 1 ptr: 0:26:0 gen 0  
[   70.325941][ T5320]   node offset 8/40 bset u64s 375 bset byte offset 1992: bad k->u64s 1 (min 3 max 253), fixing
[   70.341147][ T5320] bcachefs (loop0): btree_node_read_work: rewriting btree node at due to error
[   70.341147][ T5320]   btree=alloc level=0 u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 1818ce08861e3527 written 40 min_key POS_MIN durability: 1 ptr: 0:26:0 gen 0
[   70.352483][ T5320] bcachefs (loop0): error validating btree node on loop0 at btree snapshots level 0/0
[   70.352497][ T5320]   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  
[   70.352506][ T5320]   node offset 0/16 bset u64s 0: checksum error, type crc32c_nonzero: got 1af30f80 should be 3f4bb467, fixing
[   70.366876][ T5320] bcachefs (loop0): error validating btree node on loop0 at btree snapshots level 0/0
[   70.366906][ T5320]   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  
[   70.366917][ T5320]   node offset 0/16 bset u64s 0: incorrect btree id
[   70.382151][ T5320] bcachefs (loop0): running explicit recovery pass check_topology (2), currently at recovery_pass_empty (0)
[   70.387095][ T5320] bcachefs (loop0): flagging btree snapshots lost data
[   70.391680][ T5320] bcachefs (loop0): running explicit recovery pass scan_for_btree_nodes (1), currently at recovery_pass_empty (0)
[   70.398538][ T5320] error reading btree root btree=snapshots level=0: btree_node_read_error, fixing
[   70.407611][ T5320] bcachefs (loop0): scan_for_btree_nodes...
[   70.417465][ T5320] bcachefs (loop0): btree node scan found 6 nodes after overwrites
[   70.424070][ T5320]  done
[   70.425782][ T5320] bcachefs (loop0): check_topology...
[   70.427805][ T5320] bcachefs (loop0): btree root snapshots unreadable, must recover from scan
[   70.434904][ T5320] no nodes found for btree snapshots, continuing
[   70.437841][ T5320]  done
[   70.441106][ T5320] bcachefs (loop0): accounting_read... done
[   70.444029][ T5320] bcachefs (loop0): alloc_read... done
[   70.446370][ T5320] bcachefs (loop0): stripes_read... done
[   70.448682][ T5320] bcachefs (loop0): snapshots_read...
[   70.449274][ T5320] bcachefs (loop0): running explicit recovery pass reconstruct_snapshots (21), currently at snapshots_read (7)
[   70.456810][ T5320]  done
[   70.457927][ T5320] bcachefs (loop0): check_allocations...
[   70.465555][ T5320] bucket 0:26 data type btree ptr gen 0 missing in alloc btree
[   70.465578][ T5320] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 1818ce08861e3527 written 40 min_key POS_MIN durability: 1 ptr: 0:26:0 gen 0, fixing
[   70.483625][ T5320] bucket 0:29 data type btree ptr gen 0 missing in alloc btree
[   70.483642][ T5320] while marking 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, fixing
[   70.494792][ T5320] bucket 0:17 gen 0 has wrong data_type: got free, should be sb, fixing
[   70.498244][ T5320] bucket 0:17 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing
[   70.504389][ T5320] bucket 0:18 gen 0 has wrong data_type: got free, should be sb, fixing
[   70.507598][ T5320] bucket 0:18 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing
[   70.512124][ T5320] bucket 0:19 gen 0 has wrong data_type: got free, should be sb, fixing
[   70.515766][ T5320] bucket 0:19 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing
[   70.521530][ T5320] bucket 0:20 gen 0 has wrong data_type: got free, should be sb, fixing
[   70.524520][ T5320] bucket 0:20 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing
[   70.528528][ T5320] bucket 0:21 gen 0 has wrong data_type: got free, should be sb, fixing
[   70.532492][ T5320] bucket 0:21 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing
[   70.536711][ T5320] bucket 0:22 gen 0 has wrong data_type: got free, should be sb, fixing
[   70.541201][ T5320] bucket 0:22 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing
[   70.545246][ T5320] bucket 0:23 gen 0 has wrong data_type: got free, should be sb, fixing
[   70.548479][ T5320] bucket 0:23 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing
[   70.553018][ T5320] bucket 0:24 gen 0 has wrong data_type: got free, should be journal, fixing
[   70.556553][ T5320] bucket 0:24 gen 0 data type journal has wrong dirty_sectors: got 0, should be 256, fixing
[   70.561821][ T5320] bucket 0:26 gen 0 has wrong data_type: got free, should be btree, fixing
[   70.565807][ T5320] bucket 0:26 gen 0 data type btree has wrong dirty_sectors: got 0, should be 256, fixing
[   70.572331][ T5320] bucket 0:27 gen 0 has wrong data_type: got btree, should be need_discard, fixing
[   70.576256][ T5320] bucket 0:27 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing
[   70.582541][ T5320] bucket 0:29 gen 0 has wrong data_type: got free, should be btree, fixing
[   70.586130][ T5320] bucket 0:29 gen 0 data type btree has wrong dirty_sectors: got 0, should be 256, fixing
[   70.590790][ T5320] bucket 0:32 gen 0 has wrong data_type: got btree, should be need_discard, fixing
[   70.594544][ T5320] bucket 0:32 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing
[   70.599441][ T5320] bucket 0:34 gen 0 has wrong data_type: got user, should be need_discard, fixing
[   70.604555][ T5320] bucket 0:34 gen 0 data type need_discard has wrong dirty_sectors: got 16, should be 0, fixing
[   70.608894][ T5320] bucket 0:35 gen 0 data type btree has wrong dirty_sectors: got 1001847572, should be 256, fixing
[   70.613648][ T5320] bucket 0:35 gen 0 data type btree has wrong cached_sectors: got 2058474756, should be 0, fixing
[   70.621899][ T5320]  done
[   70.625261][ T5320] bcachefs (loop0): going read-write
[   70.630125][ T5320] bcachefs (loop0): journal_replay... done
[   70.671885][ T5320] bcachefs (loop0): check_alloc_info...
[   70.673338][ T5320] bucket incorrectly unset in need_discard btree
[   70.673359][ T5320]   u64s 13 type alloc_v4 0:27:0 len 0 ver 0: 
[   70.673367][ T5320]   gen 0 oldest_gen 0 data_type need_discard
[   70.673375][ T5320]   journal_seq_nonempty 4
[   70.673382][ T5320]   journal_seq_empty    0
[   70.673389][ T5320]   need_discard         1
[   70.673395][ T5320]   need_inc_gen         1
[   70.673402][ T5320]   dirty_sectors        0
[   70.673410][ T5320]   stripe_sectors       0
[   70.673416][ T5320]   cached_sectors       0
[   70.673423][ T5320]   stripe               0
[   70.673430][ T5320]   stripe_redundancy    0
[   70.673436][ T5320]   io_time[READ]        1
[   70.673443][ T5320]   io_time[WRITE]       256
[   70.673450][ T5320]   fragmentation     0
[   70.673457][ T5320]   bp_start          8
[   70.673463][ T5320] , fixing
[   70.721070][ T5320] bucket incorrectly unset in need_discard btree
[   70.721085][ T5320]   u64s 13 type alloc_v4 0:32:0 len 0 ver 0: 
[   70.721091][ T5320]   gen 0 oldest_gen 0 data_type need_discard
[   70.721098][ T5320]   journal_seq_nonempty 2
[   70.721103][ T5320]   journal_seq_empty    0
[   70.721110][ T5320]   need_discard         1
[   70.721115][ T5320]   need_inc_gen         1
[   70.721120][ T5320]   dirty_sectors        0
[   70.721126][ T5320]   stripe_sectors       0
[   70.721132][ T5320]   cached_sectors       0
[   70.721137][ T5320]   stripe               0
[   70.721143][ T5320]   stripe_redundancy    0
[   70.721149][ T5320]   io_time[READ]        1
[   70.721156][ T5320]   io_time[WRITE]       1
[   70.721162][ T5320]   fragmentation     0
[   70.721168][ T5320]   bp_start          8
[   70.721174][ T5320] , fixing
[   70.756291][ T5320] bucket incorrectly unset in need_discard btree
[   70.756306][ T5320]   u64s 13 type alloc_v4 0:34:0 len 0 ver 0: 
[   70.756312][ T5320]   gen 0 oldest_gen 0 data_type need_discard
[   70.756319][ T5320]   journal_seq_nonempty 5
[   70.756325][ T5320]   journal_seq_empty    134217728
[   70.756331][ T5320]   need_discard         1
[   70.756336][ T5320]   need_inc_gen         1
[   70.756372][ T5320]   dirty_sectors        0
[   70.756379][ T5320]   stripe_sectors       0
[   70.756385][ T5320]   cached_sectors       0
[   70.756391][ T5320]   stripe               0
[   70.756397][ T5320]   stripe_redundancy    0
[   70.756402][ T5320]   io_time[READ]        1
[   70.756408][ T5320]   io_time[WRITE]       512
[   70.756413][ T5320]   fragmentation     0
[   70.756418][ T5320]   bp_start          8
[   70.756424][ T5320] , fixing
[   70.795674][ T5320]  done
[   70.807603][ T5320] bcachefs (loop0): check_lrus...
[   70.808958][ T5320] incorrect lru entry: lru fragmentation time 134217728
[   70.808970][ T5320]   u64s 5 type set 18446462598867058688:34:0 len 0 ver 0
[   70.808977][ T5320]   for u64s 13 type alloc_v4 0:34:0 len 0 ver 0: 
[   70.808984][ T5320]   gen 1 oldest_gen 0 data_type free
[   70.808990][ T5320]   journal_seq_nonempty 5
[   70.808996][ T5320]   journal_seq_empty    134217728
[   70.809003][ T5320]   need_discard         0
[   70.809009][ T5320]   need_inc_gen         0
[   70.809015][ T5320]   dirty_sectors        0
[   70.809021][ T5320]   stripe_sectors       0
[   70.809027][ T5320]   cached_sectors       0
[   70.809032][ T5320]   stripe               0
[   70.809038][ T5320]   stripe_redundancy    0
[   70.809043][ T5320]   io_time[READ]        1
[   70.809049][ T5320]   io_time[WRITE]       512
[   70.809055][ T5320]   fragmentation     0
[   70.809061][ T5320]   bp_start          8
[   70.809067][ T5320] , fixing
[   70.852214][ T5320]  done
[   70.854587][ T5320] bcachefs (loop0): check_btree_backpointers... done
[   70.858232][ T5320] bcachefs (loop0): check_backpointers_to_extents... done
[   70.865844][ T5320] bcachefs (loop0): check_extents_to_backpointers...
[   70.866700][ T5320] bcachefs (loop0): scanning for missing backpointers in 4/128 buckets
[   70.874096][ T5320]  done
[   70.876435][ T5320] bcachefs (loop0): check_alloc_to_lru_refs... done
[   70.881335][ T5320] bcachefs (loop0): bucket_gens_init... done
[   70.885179][ T5320] bcachefs (loop0): reconstruct_snapshots...
[   70.885397][ T5320] snapshot node 4294967295 from tree 4294967295 missing, recreating
[   70.901996][ T5320]  done
[   70.904753][ T5320] bcachefs (loop0): check_snapshot_trees... done
[   70.907887][ T5320] bcachefs (loop0): check_snapshots... done
[   70.911416][ T5320] bcachefs (loop0): check_subvols...
[   70.912221][ T5320] subvolume 1 is not set as snapshot but is not master subvolume, fixing
[   70.917749][ T5320]  done
[   70.920751][ T5320] bcachefs (loop0): check_subvol_children... done
[   70.923730][ T5320] bcachefs (loop0): delete_dead_snapshots... done
[   70.926630][ T5320] bcachefs (loop0): check_inodes... done
[   70.931284][ T5320] bcachefs (loop0): check_extents... done
[   70.934066][ T5320] bcachefs (loop0): check_indirect_extents... done
[   70.937113][ T5320] bcachefs (loop0): check_dirents... done
[   70.942305][ T5320] bcachefs (loop0): check_xattrs... done
[   70.945187][ T5320] bcachefs (loop0): check_root... done
[   70.947795][ T5320] bcachefs (loop0): check_unreachable_inodes... done
[   70.951659][ T5320] bcachefs (loop0): check_subvolume_structure... done
[   70.955149][ T5320] bcachefs (loop0): check_directory_structure... done
[   70.958928][ T5320] bcachefs (loop0): check_nlinks... done
[   70.964211][ T5320] bcachefs (loop0): resume_logged_ops... done
[   70.966801][ T5320] bcachefs (loop0): delete_dead_inodes... done
[   70.970190][ T5320] bcachefs (loop0): set_fs_needs_rebalance... done
[   70.985491][ T5320] bcachefs (loop0): Fixed errors, running fsck a second time to verify fs is clean
[   70.989199][ T5320] bcachefs (loop0): check_alloc_info... done
[   70.995014][ T5320] bcachefs (loop0): check_lrus... done
[   70.997076][ T5320] bcachefs (loop0): check_btree_backpointers... done
[   71.000956][ T5320] bcachefs (loop0): check_backpointers_to_extents... done
[   71.004076][ T5320] bcachefs (loop0): check_extents_to_backpointers... done
[   71.007965][ T5320] bcachefs (loop0): check_alloc_to_lru_refs... done
[   71.012986][ T5320] bcachefs (loop0): bucket_gens_init... done
[   71.017233][ T5320] bcachefs (loop0): reconstruct_snapshots... done
[   71.021174][ T5320] bcachefs (loop0): check_snapshot_trees... done
[   71.023788][ T5320] bcachefs (loop0): check_snapshots... done
[   71.026062][ T5320] bcachefs (loop0): check_subvols... done
[   71.028272][ T5320] bcachefs (loop0): check_subvol_children... done
[   71.031125][ T5320] bcachefs (loop0): delete_dead_snapshots... done
[   71.033353][ T5320] bcachefs (loop0): check_inodes... done
[   71.036104][ T5320] bcachefs (loop0): check_extents... done
[   71.038320][ T5320] bcachefs (loop0): check_indirect_extents... done
[   71.041873][ T5320] bcachefs (loop0): check_dirents... done
[   71.044432][ T5320] bcachefs (loop0): check_xattrs... done
[   71.046854][ T5320] bcachefs (loop0): check_root... done
[   71.049000][ T5320] bcachefs (loop0): check_unreachable_inodes... done
[   71.052098][ T5320] bcachefs (loop0): check_subvolume_structure... done
[   71.054719][ T5320] bcachefs (loop0): check_directory_structure... done
[   71.057706][ T5320] bcachefs (loop0): check_nlinks... done
[   71.061452][ T5320] bcachefs (loop0): resume_logged_ops... done
[   71.063970][ T5320] bcachefs (loop0): delete_dead_inodes... done
[   71.066430][ T5320] bcachefs (loop0): set_fs_needs_rebalance... done
[   71.070139][ T5320] bcachefs (loop0): reading quotas
[   71.072508][ T5320] bcachefs (loop0): quotas done
[   71.077320][ T5320] bcachefs (loop0): done starting filesystem
[   71.114079][ T5320] ------------[ cut here ]------------
[   71.116330][ T5320] kernel BUG at fs/bcachefs/quota.c:319!
[   71.118584][ T5320] Oops: invalid opcode: 0000 [#1] PREEMPT SMP KASAN NOPTI
[   71.121363][ T5320] CPU: 0 UID: 0 PID: 5320 Comm: syz.0.0 Not tainted 6.14.0-rc7-syzkaller #0
[   71.124603][ T5320] Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS 1.16.3-debian-1.16.3-2~bpo12+1 04/01/2014
[   71.128583][ T5320] RIP: 0010:bch2_quota_transfer+0xad0/0xae0
[   71.130798][ T5320] Code: 48 c7 c7 70 8b 17 8f 4c 89 e6 e8 9b 9e b3 00 e9 c1 fd ff ff e8 71 40 47 fd 90 0f 0b e8 69 40 47 fd 90 0f 0b e8 61 40 47 fd 90 <0f> 0b e8 59 40 47 fd 90 0f 0b e8 a1 1d 8e 07 90 90 90 90 90 90 90
[   71.137971][ T5320] RSP: 0018:ffffc900019c76c0 EFLAGS: 00010283
[   71.140656][ T5320] RAX: ffffffff847a9f6f RBX: ffff888052ff4140 RCX: 0000000000100000
[   71.143716][ T5320] RDX: ffffc9000e4b2000 RSI: 00000000000008f0 RDI: 00000000000008f1
[   71.146901][ T5320] RBP: ffffc900019c7868 R08: ffffffff847a9c38 R09: 0000000000000001
[   71.150095][ T5320] R10: dffffc0000000000 R11: fffffbfff2079fcf R12: 0000000000000001
[   71.153214][ T5320] R13: 0000000000000000 R14: 1ffff1100a5fe905 R15: ffff888052ff4828
[   71.156373][ T5320] FS:  00007f3cedbfc6c0(0000) GS:ffff88801fc00000(0000) knlGS:0000000000000000
[   71.159814][ T5320] CS:  0010 DS: 0000 ES: 0000 CR0: 0000000080050033
[   71.162324][ T5320] CR2: 0000400000002900 CR3: 000000004373a000 CR4: 0000000000352ef0
[   71.165610][ T5320] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000
[   71.168666][ T5320] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400
[   71.171700][ T5320] Call Trace:
[   71.173124][ T5320]  <TASK>
[   71.174333][ T5320]  ? __die_body+0x5f/0xb0
[   71.176106][ T5320]  ? die+0x9e/0xc0
[   71.177657][ T5320]  ? do_trap+0x15a/0x3a0
[   71.179331][ T5320]  ? bch2_quota_transfer+0xad0/0xae0
[   71.181495][ T5320]  ? do_error_trap+0x1dc/0x2c0
[   71.183290][ T5320]  ? bch2_quota_transfer+0xad0/0xae0
[   71.185436][ T5320]  ? __pfx_do_error_trap+0x10/0x10
[   71.187468][ T5320]  ? report_bug+0x3e8/0x500
[   71.189398][ T5320]  ? handle_invalid_op+0x34/0x40
[   71.191452][ T5320]  ? bch2_quota_transfer+0xad0/0xae0
[   71.193587][ T5320]  ? exc_invalid_op+0x38/0x50
[   71.195535][ T5320]  ? asm_exc_invalid_op+0x1a/0x20
[   71.197650][ T5320]  ? bch2_quota_transfer+0x798/0xae0
[   71.199749][ T5320]  ? bch2_quota_transfer+0xacf/0xae0
[   71.201804][ T5320]  ? bch2_quota_transfer+0xad0/0xae0
[   71.204021][ T5320]  ? __pfx_bch2_quota_transfer+0x10/0x10
[   71.206167][ T5320]  ? rcu_is_watching+0x15/0xb0
[   71.208127][ T5320]  ? __mutex_lock+0x397/0x1010
[   71.210027][ T5320]  ? rcu_is_watching+0x15/0xb0
[   71.212094][ T5320]  ? lock_release+0xbf/0xa30
[   71.214176][ T5320]  ? __pfx___mutex_lock+0x10/0x10
[   71.216394][ T5320]  bch2_fs_quota_transfer+0x282/0x4d0
[   71.218878][ T5320]  bch2_setattr_nonsize+0x3c1/0x12a0
[   71.221362][ T5320]  ? bch2_trans_put+0x89e/0x1020
[   71.223513][ T5320]  ? rcu_is_watching+0x15/0xb0
[   71.225751][ T5320]  ? bch2_trans_put+0x89e/0x1020
[   71.227551][ T5320]  ? kfree+0x4e/0x430
[   71.229084][ T5320]  ? bch2_trans_put+0xa50/0x1020
[   71.230966][ T5320]  ? aa_get_newest_label+0xff/0x6f0
[   71.233040][ T5320]  ? __pfx_bch2_setattr_nonsize+0x10/0x10
[   71.235163][ T5320]  ? __pfx_from_kgid+0x10/0x10
[   71.237040][ T5320]  ? setattr_prepare+0x1f5/0xb20
[   71.238962][ T5320]  ? bch2_setattr+0x183/0x220
[   71.240855][ T5320]  ? __pfx_bch2_setattr+0x10/0x10
[   71.242889][ T5320]  notify_change+0xbca/0xe90
[   71.244691][ T5320]  chown_common+0x501/0x850
[   71.246371][ T5320]  ? __pfx_chown_common+0x10/0x10
[   71.248276][ T5320]  ? rcu_read_lock_any_held+0xb7/0x160
[   71.250247][ T5320]  ? mnt_get_write_access+0x226/0x2b0
[   71.252306][ T5320]  ksys_fchown+0xe2/0x150
[   71.254045][ T5320]  __x64_sys_fchown+0x7a/0x90
[   71.255909][ T5320]  do_syscall_64+0xf3/0x230
[   71.257676][ T5320]  ? clear_bhb_loop+0x35/0x90
[   71.259429][ T5320]  entry_SYSCALL_64_after_hwframe+0x77/0x7f
[   71.261729][ T5320] RIP: 0033:0x7f3cecd8d169
[   71.263427][ T5320] Code: ff ff c3 66 2e 0f 1f 84 00 00 00 00 00 0f 1f 40 00 48 89 f8 48 89 f7 48 89 d6 48 89 ca 4d 89 c2 4d 89 c8 4c 8b 4c 24 08 0f 05 <48> 3d 01 f0 ff ff 73 01 c3 48 c7 c1 a8 ff ff ff f7 d8 64 89 01 48
[   71.270870][ T5320] RSP: 002b:00007f3cedbfc038 EFLAGS: 00000246 ORIG_RAX: 000000000000005d
[   71.274081][ T5320] RAX: ffffffffffffffda RBX: 00007f3cecfa5fa0 RCX: 00007f3cecd8d169
[   71.277350][ T5320] RDX: 000000000000000a RSI: 000000003a736e6f RDI: 0000000000000006
[   71.280373][ T5320] RBP: 00007f3cece0e2a0 R08: 0000000000000000 R09: 0000000000000000
[   71.283306][ T5320] R10: 0000000000000000 R11: 0000000000000246 R12: 0000000000000000
[   71.286367][ T5320] R13: 0000000000000000 R14: 00007f3cecfa5fa0 R15: 00007fff1f3910d8
[   71.289600][ T5320]  </TASK>
[   71.290945][ T5320] Modules linked in:
[   71.293173][ T5320] ---[ end trace 0000000000000000 ]---
[   71.298414][   T49] Bluetooth: hci0: command tx timeout
[   71.311387][ T5320] RIP: 0010:bch2_quota_transfer+0xad0/0xae0
[   71.314842][ T5320] Code: 48 c7 c7 70 8b 17 8f 4c 89 e6 e8 9b 9e b3 00 e9 c1 fd ff ff e8 71 40 47 fd 90 0f 0b e8 69 40 47 fd 90 0f 0b e8 61 40 47 fd 90 <0f> 0b e8 59 40 47 fd 90 0f 0b e8 a1 1d 8e 07 90 90 90 90 90 90 90
[   71.322431][ T5320] RSP: 0018:ffffc900019c76c0 EFLAGS: 00010283
[   71.324912][ T5320] RAX: ffffffff847a9f6f RBX: ffff888052ff4140 RCX: 0000000000100000
[   71.328478][ T5320] RDX: ffffc9000e4b2000 RSI: 00000000000008f0 RDI: 00000000000008f1
[   71.332370][ T5320] RBP: ffffc900019c7868 R08: ffffffff847a9c38 R09: 0000000000000001
[   71.335545][ T5320] R10: dffffc0000000000 R11: fffffbfff2079fcf R12: 0000000000000001
[   71.338820][ T5320] R13: 0000000000000000 R14: 1ffff1100a5fe905 R15: ffff888052ff4828
[   71.343300][ T5320] FS:  00007f3cedbfc6c0(0000) GS:ffff88801fc00000(0000) knlGS:0000000000000000
[   71.347119][ T5320] CS:  0010 DS: 0000 ES: 0000 CR0: 0000000080050033
[   71.350165][ T5320] CR2: 00007f3cedbd9ff0 CR3: 000000004373a000 CR4: 0000000000352ef0
[   71.353420][ T5320] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000
[   71.356852][ T5320] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400
[   71.360929][ T5320] Kernel panic - not syncing: Fatal exception
[   71.363760][ T5320] Kernel Offset: disabled
[   71.365608][ T5320] Rebooting in 86400 seconds..