In the Linux kernel, the following vulnerability has been resolved: ubifs: Fix races between xattr_{set|get} and listxattr operations UBIFS may occur some problems with concurrent xattr_{set|get} and listxattr operations, such as assertion failure, memory corruption, stale xattr value[1]. Fix it by importing a new rw-lock in @ubifs_inode to serilize write operations on xattr, concurrent read operations are still effective, just like ext4. [1] https://lore.kernel.org/linux-mtd/20200630130438.141649-1-houtao1@huawei.com

cordova-plugin-fingerprint-aio is a plugin provides a single and simple interface for accessing fingerprint APIs on both Android 6+ and iOS. In versions prior to 5.0.1 The exported activity `de.niklasmerz.cordova.biometric.BiometricActivity` can cause the app to crash. This vulnerability occurred because the activity didn't handle the case where it is requested with invalid or empty data which results in a crash. Any third party app can constantly call this activity with no permission. A 3rd party app/attacker using event listener can continually stop the app from working and make the victim unable to open it. Version 5.0.1 of the cordova-plugin-fingerprint-aio doesn't export the activity anymore and is no longer vulnerable. If you want to fix older versions change the attribute android:exported in plugin.xml to false. Please upgrade to version 5.0.1 as soon as possible.

TensorFlow is an open source platform for machine learning. In affected versions if `tf.summary.create_file_writer` is called with non-scalar arguments code crashes due to a `CHECK`-fail. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

In the Linux kernel, the following vulnerability has been resolved: memory: fsl_ifc: fix leak of IO mapping on probe failure On probe error the driver should unmap the IO memory. Smatch reports: drivers/memory/fsl_ifc.c:298 fsl_ifc_ctrl_probe() warn: 'fsl_ifc_ctrl_dev->gregs' not released on lines: 298.

A flaw was found in avahi 0.8-5. A reachable assertion is present in avahi_s_host_name_resolver_start function allowing a local attacker to crash the avahi service by requesting hostname resolutions through the avahi socket or dbus methods for invalid hostnames. The highest threat from this vulnerability is to the service availability.

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.SparseDenseCwiseMul`, an attacker can trigger denial of service via `CHECK`-fails or accesses to outside the bounds of heap allocated data. Since the implementation(https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80) only validates the rank of the input arguments but no constraints between dimensions(https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul), an attacker can abuse them to trigger internal `CHECK` assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a `CHECK`-failure coming from `tf.raw_ops.LoadAndRemapMatrix`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) assumes that the `ckpt_path` is always a valid scalar. However, an attacker can send any other tensor as the first argument of `LoadAndRemapMatrix`. This would cause the rank `CHECK` in `scalar<T>()()` to trigger and terminate the process. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a `CHECK`-failure coming from the implementation of `tf.raw_ops.IRFFT`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by controlling the values of `num_segments` tensor argument for `UnsortedSegmentJoin`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a2a607db15c7cd01d754d37e5448d72a13491bdb/tensorflow/core/kernels/unsorted_segment_join_op.cc#L92-L93) assumes that the `num_segments` tensor is a valid scalar. Since the tensor is empty the `CHECK` involved in `.scalar<T>()()` that checks that the number of elements is exactly 1 will be invalidated and this would result in process termination. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

MariaDB before 10.6.2 allows an application crash because of mishandling of a pushdown from a HAVING clause to a WHERE clause.

A reachable assertion vulnerability in Trend Micro Apex One could allow an attacker to crash the program on affected installations, leading to a denial-of-service (DoS). Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability.

In the Linux kernel, the following vulnerability has been resolved: btrfs: don't readahead the relocation inode on RST On relocation we're doing readahead on the relocation inode, but if the filesystem is backed by a RAID stripe tree we can get ENOENT (e.g. due to preallocated extents not being mapped in the RST) from the lookup. But readahead doesn't handle the error and submits invalid reads to the device, causing an assertion in the scatter-gather list code: BTRFS info (device nvme1n1): balance: start -d -m -s BTRFS info (device nvme1n1): relocating block group 6480920576 flags data|raid0 BTRFS error (device nvme1n1): cannot find raid-stripe for logical [6481928192, 6481969152] devid 2, profile raid0 ------------[ cut here ]------------ kernel BUG at include/linux/scatterlist.h:115! Oops: invalid opcode: 0000 [#1] PREEMPT SMP PTI CPU: 0 PID: 1012 Comm: btrfs Not tainted 6.10.0-rc7+ #567 RIP: 0010:__blk_rq_map_sg+0x339/0x4a0 RSP: 0018:ffffc90001a43820 EFLAGS: 00010202 RAX: 0000000000000000 RBX: 0000000000000000 RCX: ffffea00045d4802 RDX: 0000000117520000 RSI: 0000000000000000 RDI: ffff8881027d1000 RBP: 0000000000003000 R08: ffffea00045d4902 R09: 0000000000000000 R10: 0000000000000000 R11: 0000000000001000 R12: ffff8881003d10b8 R13: ffffc90001a438f0 R14: 0000000000000000 R15: 0000000000003000 FS: 00007fcc048a6900(0000) GS:ffff88813bc00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 000000002cd11000 CR3: 00000001109ea001 CR4: 0000000000370eb0 Call Trace: <TASK> ? __die_body.cold+0x14/0x25 ? die+0x2e/0x50 ? do_trap+0xca/0x110 ? do_error_trap+0x65/0x80 ? __blk_rq_map_sg+0x339/0x4a0 ? exc_invalid_op+0x50/0x70 ? __blk_rq_map_sg+0x339/0x4a0 ? asm_exc_invalid_op+0x1a/0x20 ? __blk_rq_map_sg+0x339/0x4a0 nvme_prep_rq.part.0+0x9d/0x770 nvme_queue_rq+0x7d/0x1e0 __blk_mq_issue_directly+0x2a/0x90 ? blk_mq_get_budget_and_tag+0x61/0x90 blk_mq_try_issue_list_directly+0x56/0xf0 blk_mq_flush_plug_list.part.0+0x52b/0x5d0 __blk_flush_plug+0xc6/0x110 blk_finish_plug+0x28/0x40 read_pages+0x160/0x1c0 page_cache_ra_unbounded+0x109/0x180 relocate_file_extent_cluster+0x611/0x6a0 ? btrfs_search_slot+0xba4/0xd20 ? balance_dirty_pages_ratelimited_flags+0x26/0xb00 relocate_data_extent.constprop.0+0x134/0x160 relocate_block_group+0x3f2/0x500 btrfs_relocate_block_group+0x250/0x430 btrfs_relocate_chunk+0x3f/0x130 btrfs_balance+0x71b/0xef0 ? kmalloc_trace_noprof+0x13b/0x280 btrfs_ioctl+0x2c2e/0x3030 ? kvfree_call_rcu+0x1e6/0x340 ? list_lru_add_obj+0x66/0x80 ? mntput_no_expire+0x3a/0x220 __x64_sys_ioctl+0x96/0xc0 do_syscall_64+0x54/0x110 entry_SYSCALL_64_after_hwframe+0x76/0x7e RIP: 0033:0x7fcc04514f9b Code: Unable to access opcode bytes at 0x7fcc04514f71. RSP: 002b:00007ffeba923370 EFLAGS: 00000246 ORIG_RAX: 0000000000000010 RAX: ffffffffffffffda RBX: 0000000000000003 RCX: 00007fcc04514f9b RDX: 00007ffeba923460 RSI: 00000000c4009420 RDI: 0000000000000003 RBP: 0000000000000000 R08: 0000000000000013 R09: 0000000000000001 R10: 00007fcc043fbba8 R11: 0000000000000246 R12: 00007ffeba924fc5 R13: 00007ffeba923460 R14: 0000000000000002 R15: 00000000004d4bb0 </TASK> Modules linked in: ---[ end trace 0000000000000000 ]--- RIP: 0010:__blk_rq_map_sg+0x339/0x4a0 RSP: 0018:ffffc90001a43820 EFLAGS: 00010202 RAX: 0000000000000000 RBX: 0000000000000000 RCX: ffffea00045d4802 RDX: 0000000117520000 RSI: 0000000000000000 RDI: ffff8881027d1000 RBP: 0000000000003000 R08: ffffea00045d4902 R09: 0000000000000000 R10: 0000000000000000 R11: 0000000000001000 R12: ffff8881003d10b8 R13: ffffc90001a438f0 R14: 0000000000000000 R15: 0000000000003000 FS: 00007fcc048a6900(0000) GS:ffff88813bc00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007fcc04514f71 CR3: 00000001109ea001 CR4: 0000000000370eb0 Kernel p ---truncated---