MariaDB before 10.6.5 has a sql_lex.cc integer overflow, leading to an application crash.

In the Linux kernel, the following vulnerability has been resolved: tools/power turbostat: Fix offset overflow issue in index converting The idx_to_offset() function returns type int (32-bit signed), but MSR_PKG_ENERGY_STAT is u32 and would be interpreted as a negative number. The end result is that it hits the if (offset < 0) check in update_msr_sum() which prevents the timer callback from updating the stat in the background when long durations are used. The similar issue exists in offset_to_idx() and update_msr_sum(). Fix this issue by converting the 'int' to 'off_t' accordingly.

Integer overflow in the xfs_acl_from_disk function in fs/xfs/xfs_acl.c in the Linux kernel before 3.1.9 allows local users to cause a denial of service (panic) via a filesystem with a malformed ACL, leading to a heap-based buffer overflow.

NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer (nvidia.ko), where an integer overflow may lead to denial of service.

in OpenHarmony v4.1.0 and prior versions allow a local attacker cause crash through integer overflow.

In the Linux kernel, the following vulnerability has been resolved: amdkfd: use calloc instead of kzalloc to avoid integer overflow This uses calloc instead of doing the multiplication which might overflow.

Buffer Overflow vulnerability in mz-automation.de libiec61859 v.1.4.0 allows a remote attacker to cause a denial of service via the mmsServer_handleGetNameListRequest function to the mms_getnamelist_service component.

TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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.

TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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.

TensorFlow is an open source platform for machine learning. In affected versions while calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows. 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.

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. 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.

copy_params in drivers/md/dm-ioctl.c in the Linux kernel through 6.7.1 can attempt to allocate more than INT_MAX bytes, and crash, because of a missing param_kernel->data_size check. This is related to ctl_ioctl.

A vulnerability was found in GNU PSPP 82fb509fb2fedd33e7ac0c46ca99e108bb3bdffb. It has been declared as problematic. This vulnerability affects the function calloc of the file pspp-convert.c. The manipulation of the argument -l leads to integer overflow. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.

Trusty contains a vulnerability in the NVIDIA TLK kernel function where a lack of checks allows the exploitation of an integer overflow through a specific SMC call that is triggered by the user, which may lead to denial of service.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a `std::vector`. However, as `std::vector::resize` takes the size argument as a `size_t` and `output_size` is an `int`, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in `CombinedNonMaxSuppression`. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

In the Linux kernel, the following vulnerability has been resolved: drm/radeon: Fix integer overflow in radeon_cs_parser_init The type of size is unsigned, if size is 0x40000000, there will be an integer overflow, size will be zero after size *= sizeof(uint32_t), will cause uninitialized memory to be referenced later

In the Linux kernel, the following vulnerability has been resolved: drm/mediatek: Fix coverity issue with unintentional integer overflow 1. Instead of multiplying 2 variable of different types. Change to assign a value of one variable and then multiply the other variable. 2. Add a int variable for multiplier calculation instead of calculating different types multiplier with dma_addr_t variable directly.

In the Linux kernel, the following vulnerability has been resolved: bpf: Guard stack limits against 32bit overflow This patch promotes the arithmetic around checking stack bounds to be done in the 64-bit domain, instead of the current 32bit. The arithmetic implies adding together a 64-bit register with a int offset. The register was checked to be below 1<<29 when it was variable, but not when it was fixed. The offset either comes from an instruction (in which case it is 16 bit), from another register (in which case the caller checked it to be below 1<<29 [1]), or from the size of an argument to a kfunc (in which case it can be a u32 [2]). Between the register being inconsistently checked to be below 1<<29, and the offset being up to an u32, it appears that we were open to overflowing the `int`s which were currently used for arithmetic. [1] https://github.com/torvalds/linux/blob/815fb87b753055df2d9e50f6cd80eb10235fe3e9/kernel/bpf/verifier.c#L7494-L7498 [2] https://github.com/torvalds/linux/blob/815fb87b753055df2d9e50f6cd80eb10235fe3e9/kernel/bpf/verifier.c#L11904

A flaw was found in the Linux kernel. A denial of service problem is identified if an extent tree is corrupted in a crafted ext4 filesystem in fs/ext4/extents.c in ext4_es_cache_extent. Fabricating an integer overflow, A local attacker with a special user privilege may cause a system crash problem which can lead to an availability threat.

Trusty TLK contains a vulnerability in the NVIDIA TLK kernel where an integer overflow in the tz_map_shared_mem function can bypass boundary checks, which might lead to denial of service.

Trusty contains a vulnerability in the NVIDIA TLK kernel function where a lack of checks allows the exploitation of an integer overflow through a specific SMC call that is triggered by the user, which may lead to denial of service.

Integer Overflow or Wraparound vulnerability in openEuler kernel on Linux (filesystem modules) allows Forced Integer Overflow.This issue affects openEuler kernel: from 4.19.90 before 4.19.90-2401.3, from 5.10.0-60.18.0 before 5.10.0-183.0.0.

TensorFlow is an end-to-end open source platform for machine learning. The TFLite code for allocating `TFLiteIntArray`s is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L24-L27). An attacker can craft a model such that the `size` multiplier is so large that the return value overflows the `int` datatype and becomes negative. In turn, this results in invalid value being given to `malloc`(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L47-L52). In this case, `ret->size` would dereference an invalid pointer. 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. Calling `tf.raw_ops.ImmutableConst`(https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in caused by an integer overflow in constructing a new tensor shape. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/0908c2f2397c099338b901b067f6495a5b96760b/tensorflow/core/kernels/sparse_split_op.cc#L66-L70) builds a dense shape without checking that the dimensions would not result in overflow. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. 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 trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.AddManySparseToTensorsMap`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/kernels/sparse_tensors_map_ops.cc#L257) takes the values specified in `sparse_shape` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. 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.

Integer overflow vulnerability in av_timecode_make_string in libavutil/timecode.c in FFmpeg version 4.3.2, allows local attackers to cause a denial of service (DoS) via crafted .mov file.

In the Linux kernel, the following vulnerability has been resolved: dm-stripe: fix a possible integer overflow There's a possible integer overflow in stripe_io_hints if we have too large chunk size. Test if the overflow happened, and if it did, don't set limits->io_min and limits->io_opt;

AMD System Management Unit (SMU) may experience an integer overflow when an invalid length is provided which may result in a potential loss of resources.

Failure to validate the integer operand in ASP (AMD Secure Processor) bootloader may allow an attacker to introduce an integer overflow in the L2 directory table in SPI flash resulting in a potential denial of service.

In the Linux kernel, the following vulnerability has been resolved: scsi: st: Fix array overflow in st_setup() Change the array size to follow parms size instead of a fixed value.

In the Linux kernel, the following vulnerability has been resolved: ext4: inline: fix len overflow in ext4_prepare_inline_data When running the following code on an ext4 filesystem with inline_data feature enabled, it will lead to the bug below. fd = open("file1", O_RDWR | O_CREAT | O_TRUNC, 0666); ftruncate(fd, 30); pwrite(fd, "a", 1, (1UL << 40) + 5UL); That happens because write_begin will succeed as when ext4_generic_write_inline_data calls ext4_prepare_inline_data, pos + len will be truncated, leading to ext4_prepare_inline_data parameter to be 6 instead of 0x10000000006. Then, later when write_end is called, we hit: BUG_ON(pos + len > EXT4_I(inode)->i_inline_size); at ext4_write_inline_data. Fix it by using a loff_t type for the len parameter in ext4_prepare_inline_data instead of an unsigned int. [ 44.545164] ------------[ cut here ]------------ [ 44.545530] kernel BUG at fs/ext4/inline.c:240! [ 44.545834] Oops: invalid opcode: 0000 [#1] SMP NOPTI [ 44.546172] CPU: 3 UID: 0 PID: 343 Comm: test Not tainted 6.15.0-rc2-00003-g9080916f4863 #45 PREEMPT(full) 112853fcebfdb93254270a7959841d2c6aa2c8bb [ 44.546523] Hardware name: QEMU Standard PC (i440FX + PIIX, 1996), BIOS 1.16.3-debian-1.16.3-2 04/01/2014 [ 44.546523] RIP: 0010:ext4_write_inline_data+0xfe/0x100 [ 44.546523] Code: 3c 0e 48 83 c7 48 48 89 de 5b 41 5c 41 5d 41 5e 41 5f 5d e9 e4 fa 43 01 5b 41 5c 41 5d 41 5e 41 5f 5d c3 cc cc cc cc cc 0f 0b <0f> 0b 0f 1f 44 00 00 55 41 57 41 56 41 55 41 54 53 48 83 ec 20 49 [ 44.546523] RSP: 0018:ffffb342008b79a8 EFLAGS: 00010216 [ 44.546523] RAX: 0000000000000001 RBX: ffff9329c579c000 RCX: 0000010000000006 [ 44.546523] RDX: 000000000000003c RSI: ffffb342008b79f0 RDI: ffff9329c158e738 [ 44.546523] RBP: 0000000000000001 R08: 0000000000000001 R09: 0000000000000000 [ 44.546523] R10: 00007ffffffff000 R11: ffffffff9bd0d910 R12: 0000006210000000 [ 44.546523] R13: fffffc7e4015e700 R14: 0000010000000005 R15: ffff9329c158e738 [ 44.546523] FS: 00007f4299934740(0000) GS:ffff932a60179000(0000) knlGS:0000000000000000 [ 44.546523] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [ 44.546523] CR2: 00007f4299a1ec90 CR3: 0000000002886002 CR4: 0000000000770eb0 [ 44.546523] PKRU: 55555554 [ 44.546523] Call Trace: [ 44.546523] <TASK> [ 44.546523] ext4_write_inline_data_end+0x126/0x2d0 [ 44.546523] generic_perform_write+0x17e/0x270 [ 44.546523] ext4_buffered_write_iter+0xc8/0x170 [ 44.546523] vfs_write+0x2be/0x3e0 [ 44.546523] __x64_sys_pwrite64+0x6d/0xc0 [ 44.546523] do_syscall_64+0x6a/0xf0 [ 44.546523] ? __wake_up+0x89/0xb0 [ 44.546523] ? xas_find+0x72/0x1c0 [ 44.546523] ? next_uptodate_folio+0x317/0x330 [ 44.546523] ? set_pte_range+0x1a6/0x270 [ 44.546523] ? filemap_map_pages+0x6ee/0x840 [ 44.546523] ? ext4_setattr+0x2fa/0x750 [ 44.546523] ? do_pte_missing+0x128/0xf70 [ 44.546523] ? security_inode_post_setattr+0x3e/0xd0 [ 44.546523] ? ___pte_offset_map+0x19/0x100 [ 44.546523] ? handle_mm_fault+0x721/0xa10 [ 44.546523] ? do_user_addr_fault+0x197/0x730 [ 44.546523] ? do_syscall_64+0x76/0xf0 [ 44.546523] ? arch_exit_to_user_mode_prepare+0x1e/0x60 [ 44.546523] ? irqentry_exit_to_user_mode+0x79/0x90 [ 44.546523] entry_SYSCALL_64_after_hwframe+0x55/0x5d [ 44.546523] RIP: 0033:0x7f42999c6687 [ 44.546523] Code: 48 89 fa 4c 89 df e8 58 b3 00 00 8b 93 08 03 00 00 59 5e 48 83 f8 fc 74 1a 5b c3 0f 1f 84 00 00 00 00 00 48 8b 44 24 10 0f 05 <5b> c3 0f 1f 80 00 00 00 00 83 e2 39 83 fa 08 75 de e8 23 ff ff ff [ 44.546523] RSP: 002b:00007ffeae4a7930 EFLAGS: 00000202 ORIG_RAX: 0000000000000012 [ 44.546523] RAX: ffffffffffffffda RBX: 00007f4299934740 RCX: 00007f42999c6687 [ 44.546523] RDX: 0000000000000001 RSI: 000055ea6149200f RDI: 0000000000000003 [ 44.546523] RBP: 00007ffeae4a79a0 R08: 0000000000000000 R09: 0000000000000000 [ 44.546523] R10: 0000010000000005 R11: 0000000000000202 R12: 0000 ---truncated---

Some Huawei products have an integer overflow vulnerability. Successful exploitation of this vulnerability may lead to kernel crash.

A component of the HarmonyOS has a Integer Overflow or Wraparound vulnerability. Local attackers may exploit this vulnerability to cause the memory which is not released.

A vulnerability within the Avira network protection feature allowed an attacker with local execution rights to cause an overflow. This could corrupt the data on the heap and lead to a denial-of-service situation. Issue was fixed with Endpointprotection.exe version 1.0.2303.633

An issue was discovered in the Linux kernel before 5.8.15. scalar32_min_max_or in kernel/bpf/verifier.c mishandles bounds tracking during use of 64-bit values, aka CID-5b9fbeb75b6a.

A memory leak flaw and potential divide by zero and Integer overflow was found in the Linux kernel V4L2 and vivid test code functionality. This issue occurs when a user triggers ioctls, such as VIDIOC_S_DV_TIMINGS ioctl. This could allow a local user to crash the system if vivid test code enabled.

In the Linux kernel, the following vulnerability has been resolved: cpufreq: CPPC: Add u64 casts to avoid overflowing The fields of the _CPC object are unsigned 32-bits values. To avoid overflows while using _CPC's values, add 'u64' casts.

In the Linux kernel, the following vulnerability has been resolved: net: stmmac: dwc-qos: Disable split header for Tegra194 There is a long-standing issue with the Synopsys DWC Ethernet driver for Tegra194 where random system crashes have been observed [0]. The problem occurs when the split header feature is enabled in the stmmac driver. In the bad case, a larger than expected buffer length is received and causes the calculation of the total buffer length to overflow. This results in a very large buffer length that causes the kernel to crash. Why this larger buffer length is received is not clear, however, the feedback from the NVIDIA design team is that the split header feature is not supported for Tegra194. Therefore, disable split header support for Tegra194 to prevent these random crashes from occurring. [0] https://lore.kernel.org/linux-tegra/b0b17697-f23e-8fa5-3757-604a86f3a095@nvidia.com/

In the Linux kernel, the following vulnerability has been resolved: i2c: designware: use casting of u64 in clock multiplication to avoid overflow In functions i2c_dw_scl_lcnt() and i2c_dw_scl_hcnt() may have overflow by depending on the values of the given parameters including the ic_clk. For example in our use case where ic_clk is larger than one million, multiplication of ic_clk * 4700 will result in 32 bit overflow. Add cast of u64 to the calculation to avoid multiplication overflow, and use the corresponding define for divide.

In the Linux kernel, the following vulnerability has been resolved: perf/x86/amd: fix potential integer overflow on shift of a int The left shift of int 32 bit integer constant 1 is evaluated using 32 bit arithmetic and then passed as a 64 bit function argument. In the case where i is 32 or more this can lead to an overflow. Avoid this by shifting using the BIT_ULL macro instead.

In the Linux kernel, the following vulnerability has been resolved: dmaengine: zynqmp_dma: In struct zynqmp_dma_chan fix desc_size data type In zynqmp_dma_alloc/free_chan_resources functions there is a potential overflow in the below expressions. dma_alloc_coherent(chan->dev, (2 * chan->desc_size * ZYNQMP_DMA_NUM_DESCS), &chan->desc_pool_p, GFP_KERNEL); dma_free_coherent(chan->dev,(2 * ZYNQMP_DMA_DESC_SIZE(chan) * ZYNQMP_DMA_NUM_DESCS), chan->desc_pool_v, chan->desc_pool_p); The arguments desc_size and ZYNQMP_DMA_NUM_DESCS were 32 bit. Though this overflow condition is not observed but it is a potential problem in the case of 32-bit multiplication. Hence fix it by changing the desc_size data type to size_t. In addition to coverity fix it also reuse ZYNQMP_DMA_DESC_SIZE macro in dma_alloc_coherent API argument. Addresses-Coverity: Event overflow_before_widen.

protobuf-c before 1.4.1 has an unsigned integer overflow in parse_required_member.

In the Linux kernel, the following vulnerability has been resolved: Bluetooth: L2CAP: Fix u8 overflow By keep sending L2CAP_CONF_REQ packets, chan->num_conf_rsp increases multiple times and eventually it will wrap around the maximum number (i.e., 255). This patch prevents this by adding a boundary check with L2CAP_MAX_CONF_RSP Btmon log: Bluetooth monitor ver 5.64 = Note: Linux version 6.1.0-rc2 (x86_64) 0.264594 = Note: Bluetooth subsystem version 2.22 0.264636 @ MGMT Open: btmon (privileged) version 1.22 {0x0001} 0.272191 = New Index: 00:00:00:00:00:00 (Primary,Virtual,hci0) [hci0] 13.877604 @ RAW Open: 9496 (privileged) version 2.22 {0x0002} 13.890741 = Open Index: 00:00:00:00:00:00 [hci0] 13.900426 (...) > ACL Data RX: Handle 200 flags 0x00 dlen 1033 #32 [hci0] 14.273106 invalid packet size (12 != 1033) 08 00 01 00 02 01 04 00 01 10 ff ff ............ > ACL Data RX: Handle 200 flags 0x00 dlen 1547 #33 [hci0] 14.273561 invalid packet size (14 != 1547) 0a 00 01 00 04 01 06 00 40 00 00 00 00 00 ........@..... > ACL Data RX: Handle 200 flags 0x00 dlen 2061 #34 [hci0] 14.274390 invalid packet size (16 != 2061) 0c 00 01 00 04 01 08 00 40 00 00 00 00 00 00 04 ........@....... > ACL Data RX: Handle 200 flags 0x00 dlen 2061 #35 [hci0] 14.274932 invalid packet size (16 != 2061) 0c 00 01 00 04 01 08 00 40 00 00 00 07 00 03 00 ........@....... = bluetoothd: Bluetooth daemon 5.43 14.401828 > ACL Data RX: Handle 200 flags 0x00 dlen 1033 #36 [hci0] 14.275753 invalid packet size (12 != 1033) 08 00 01 00 04 01 04 00 40 00 00 00 ........@...

In the Linux kernel, the following vulnerability has been resolved: CDC-NCM: avoid overflow in sanity checking A broken device may give an extreme offset like 0xFFF0 and a reasonable length for a fragment. In the sanity check as formulated now, this will create an integer overflow, defeating the sanity check. Both offset and offset + len need to be checked in such a manner that no overflow can occur. And those quantities should be unsigned.

In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.