H3C Magic NX18 Plus NX18PV100R003 was discovered to contain a stack overflow via the function UpdateWanParams.

In NTFS-3G versions < 2021.8.22, when specially crafted NTFS attributes are read in the function ntfs_attr_pread_i, a heap buffer overflow can occur and allow for writing to arbitrary memory or denial of service of the application.

An elevation of privilege vulnerability exists in Windows when the Win32k component fails to properly handle objects in memory, aka 'Win32k Elevation of Privilege Vulnerability'. This CVE ID is unique from CVE-2019-1393, CVE-2019-1395, CVE-2019-1396, CVE-2019-1408, CVE-2019-1434.

kernel/bpf/verifier.c in the Linux kernel through 5.12.7 enforces incorrect limits for pointer arithmetic operations, aka CID-bb01a1bba579. This can be abused to perform out-of-bounds reads and writes in kernel memory, leading to local privilege escalation to root. In particular, there is a corner case where the off reg causes a masking direction change, which then results in an incorrect final aux->alu_limit.

Trend Micro Home Network Security version 6.6.604 and earlier is vulnerable to an iotcl stack-based buffer overflow vulnerability which could allow an attacker to issue a specially crafted iotcl which could lead to code execution on affected devices. An attacker must first obtain the ability to execute low-privileged code on the target device in order to exploit this vulnerability.

Out-of-bounds write in the Intel(R) Kernelflinger project may allow an authenticated user to potentially enable escalation of privilege via local access.

In NTFS-3G versions < 2021.8.22, when a specially crafted MFT section is supplied in an NTFS image a heap buffer overflow can occur and allow for code execution.

Trend Micro Home Network Security version 6.6.604 and earlier is vulnerable to an iotcl stack-based buffer overflow vulnerability which could allow an attacker to issue a specially crafted iotcl to escalate privileges on affected devices. An attacker must first obtain the ability to execute low-privileged code on the target device in order to exploit this vulnerability.

Memory corruption vulnerability in the driver file component in McAfee GetSusp prior to 4.0.0 could allow a program being investigated on the local machine to trigger a buffer overflow in GetSusp, leading to the execution of arbitrary code, potentially triggering a BSOD.

In the Linux kernel, the following vulnerability has been resolved: rust_binder: correctly handle FDA objects of length zero Fix a bug where an empty FDA (fd array) object with 0 fds would cause an out-of-bounds error. The previous implementation used `skip == 0` to mean "this is a pointer fixup", but 0 is also the correct skip length for an empty FDA. If the FDA is at the end of the buffer, then this results in an attempt to write 8-bytes out of bounds. This is caught and results in an EINVAL error being returned to userspace. The pattern of using `skip == 0` as a special value originates from the C-implementation of Binder. As part of fixing this bug, this pattern is replaced with a Rust enum. I considered the alternate option of not pushing a fixup when the length is zero, but I think it's cleaner to just get rid of the zero-is-special stuff. The root cause of this bug was diagnosed by Gemini CLI on first try. I used the following prompt: > There appears to be a bug in @drivers/android/binder/thread.rs where > the Fixups oob bug is triggered with 316 304 316 324. This implies > that we somehow ended up with a fixup where buffer A has a pointer to > buffer B, but the pointer is located at an index in buffer A that is > out of bounds. Please investigate the code to find the bug. You may > compare with @drivers/android/binder.c that implements this correctly.

Memory corruption while processing IOCTL call to get the mapping.

A memory corruption issue was addressed with improved state management. This issue is fixed in Security Update 2021-005 Catalina, macOS Big Sur 11.6. A local attacker may be able to elevate their privileges.

In the Linux kernel, the following vulnerability has been resolved: watch_queue: Fix filter limit check In watch_queue_set_filter(), there are a couple of places where we check that the filter type value does not exceed what the type_filter bitmap can hold. One place calculates the number of bits by: if (tf[i].type >= sizeof(wfilter->type_filter) * 8) which is fine, but the second does: if (tf[i].type >= sizeof(wfilter->type_filter) * BITS_PER_LONG) which is not. This can lead to a couple of out-of-bounds writes due to a too-large type: (1) __set_bit() on wfilter->type_filter (2) Writing more elements in wfilter->filters[] than we allocated. Fix this by just using the proper WATCH_TYPE__NR instead, which is the number of types we actually know about. The bug may cause an oops looking something like: BUG: KASAN: slab-out-of-bounds in watch_queue_set_filter+0x659/0x740 Write of size 4 at addr ffff88800d2c66bc by task watch_queue_oob/611 ... Call Trace: <TASK> dump_stack_lvl+0x45/0x59 print_address_description.constprop.0+0x1f/0x150 ... kasan_report.cold+0x7f/0x11b ... watch_queue_set_filter+0x659/0x740 ... __x64_sys_ioctl+0x127/0x190 do_syscall_64+0x43/0x90 entry_SYSCALL_64_after_hwframe+0x44/0xae Allocated by task 611: kasan_save_stack+0x1e/0x40 __kasan_kmalloc+0x81/0xa0 watch_queue_set_filter+0x23a/0x740 __x64_sys_ioctl+0x127/0x190 do_syscall_64+0x43/0x90 entry_SYSCALL_64_after_hwframe+0x44/0xae The buggy address belongs to the object at ffff88800d2c66a0 which belongs to the cache kmalloc-32 of size 32 The buggy address is located 28 bytes inside of 32-byte region [ffff88800d2c66a0, ffff88800d2c66c0)

In the Linux kernel, the following vulnerability has been resolved: net: dsa: sja1105: avoid out of bounds access in sja1105_init_l2_policing() The SJA1105 family has 45 L2 policing table entries (SJA1105_MAX_L2_POLICING_COUNT) and SJA1110 has 110 (SJA1110_MAX_L2_POLICING_COUNT). Keeping the table structure but accounting for the difference in port count (5 in SJA1105 vs 10 in SJA1110) does not fully explain the difference. Rather, the SJA1110 also has L2 ingress policers for multicast traffic. If a packet is classified as multicast, it will be processed by the policer index 99 + SRCPORT. The sja1105_init_l2_policing() function initializes all L2 policers such that they don't interfere with normal packet reception by default. To have a common code between SJA1105 and SJA1110, the index of the multicast policer for the port is calculated because it's an index that is out of bounds for SJA1105 but in bounds for SJA1110, and a bounds check is performed. The code fails to do the proper thing when determining what to do with the multicast policer of port 0 on SJA1105 (ds->num_ports = 5). The "mcast" index will be equal to 45, which is also equal to table->ops->max_entry_count (SJA1105_MAX_L2_POLICING_COUNT). So it passes through the check. But at the same time, SJA1105 doesn't have multicast policers. So the code programs the SHARINDX field of an out-of-bounds element in the L2 Policing table of the static config. The comparison between index 45 and 45 entries should have determined the code to not access this policer index on SJA1105, since its memory wasn't even allocated. With enough bad luck, the out-of-bounds write could even overwrite other valid kernel data, but in this case, the issue was detected using KASAN. Kernel log: sja1105 spi5.0: Probed switch chip: SJA1105Q ================================================================== BUG: KASAN: slab-out-of-bounds in sja1105_setup+0x1cbc/0x2340 Write of size 8 at addr ffffff880bd57708 by task kworker/u8:0/8 ... Workqueue: events_unbound deferred_probe_work_func Call trace: ... sja1105_setup+0x1cbc/0x2340 dsa_register_switch+0x1284/0x18d0 sja1105_probe+0x748/0x840 ... Allocated by task 8: ... sja1105_setup+0x1bcc/0x2340 dsa_register_switch+0x1284/0x18d0 sja1105_probe+0x748/0x840 ...

TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. 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.

Possible stack overflow due to improper length check of TLV while copying the TLV to a local stack variable in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wired Infrastructure and Networking

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption. If the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices. 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. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.

Memory corruption while processing MFC channel configuration during music playback.

A security flaw has been discovered in floooh sokol up to 33e2271c431bf21de001e972f72da17a984da932. This vulnerability affects the function _sg_pipeline_common_init in the library sokol_gfx.h. Performing manipulation results in heap-based buffer overflow. The attack needs to be approached locally. The exploit has been released to the public and may be exploited. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The patch is named 33e2271c431bf21de001e972f72da17a984da932. It is suggested to install a patch to address this issue.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `tf.raw_ops.SparseSplit`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/699bff5d961f0abfde8fa3f876e6d241681fbef8/tensorflow/core/util/sparse/sparse_tensor.h#L528-L530) accesses an array element based on a user controlled offset. 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 write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for `h_out` and `w_out` are guaranteed to be in range for `out_backprop` (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating `h_in_max`/`w_in_max` and `in_backprop`. 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.

IBM Spectrum Protect Client 8.1.0.0-8 through 1.11.0 is vulnerable to a stack-based buffer overflow, caused by improper bounds checking when processing the current locale settings. A local attacker could overflow a buffer and execute arbitrary code on the system with elevated privileges or cause the application to crash. IBM X-Force ID: 199479

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.AvgPool3DGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/d80ffba9702dc19d1fac74fc4b766b3fa1ee976b/tensorflow/core/kernels/pooling_ops_3d.cc#L376-L450) assumes that the `orig_input_shape` and `grad` tensors have similar first and last dimensions but does not check that this assumption is validated. 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.

A vulnerability classified as critical was found in code-projects Simple Hospital Management System 1.0. Affected by this vulnerability is the function Add of the component Add Information. The manipulation of the argument x[i].name/x[i].disease leads to stack-based buffer overflow. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used.

Possible stack overflow due to improper validation of camera name length before copying the name in VR Service in Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in `filter_sizes`. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor. 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.

There is heap-based buffer overflow in kernel, all versions up to, excluding 5.3, in the marvell wifi chip driver in Linux kernel, that allows local users to cause a denial of service(system crash) or possibly execute arbitrary code.

Improper validation of buffer size input to the EFS file can lead to memory corruption in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables

An elevation of privilege exists in hdAudio.sys which may lead to an out of band write, aka 'Windows Media Elevation of Privilege Vulnerability'.

In Eclipse OMR versions 0.2.0 to 0.4.0, some of the z/OS atoe print functions use a constant length buffer for string conversion. If the input format string and arguments are larger than the buffer size then buffer overflow occurs. Beginning in version 0.5.0, the conversion buffers are sized correctly and checked appropriately to prevent buffer overflows.

A vulnerability was found in code-projects Simple College Management System 1.0. It has been declared as critical. This vulnerability affects the function input of the component Add New Student. The manipulation of the argument name/branch leads to stack-based buffer overflow. It is possible to launch the attack on the local host. The exploit has been disclosed to the public and may be used.

u'Lack of check that the TX FIFO write and read indices that are read from shared RAM are less than the FIFO size results into memory corruption and potential information leakage' in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables, Snapdragon Wired Infrastructure and Networking in APQ8009, APQ8017, APQ8053, APQ8096AU, APQ8098, Bitra, IPQ6018, IPQ8074, Kamorta, MDM9150, MDM9205, MDM9206, MDM9607, MDM9640, MDM9645, MDM9650, MDM9655, MSM8905, MSM8909, MSM8917, MSM8920, MSM8937, MSM8940, MSM8953, MSM8996, MSM8996AU, MSM8998, Nicobar, QCA8081, QCM2150, QCN7605, QCS404, QCS405, QCS605, QCS610, QM215, Rennell, SA415M, SA515M, SA6155P, Saipan, SC7180, SC8180X, SDA660, SDA845, SDM429, SDM429W, SDM439, SDM450, SDM630, SDM632, SDM636, SDM660, SDM670, SDM710, SDM845, SDM850, SDX20, SDX24, SDX55, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130

Memory corruption issues in Intel(R) PROSet/Wireless WiFi Software extension DLL before version 21.40 may allow an authenticated user to potentially enable escalation of privilege, information disclosure and a denial of service via local access.

Memory corruption can occurs in trusted application if offset size from HLOS is more than actual mapped buffer size in Snapdragon Auto, Snapdragon Compute, Snapdragon Mobile, Snapdragon Wired Infrastructure and Networking in Kamorta, QCS404, Rennell, SC7180, SDX55, SM6150, SM7150, SM8250, SXR2130

Kernel was reading the CSL defined reserved field as uint16 instead of uint32 which could lead to memory overflow in Snapdragon Industrial IOT, Snapdragon Mobile in SDA845, SDM845, SM8150

A vulnerability was detected in floooh sokol up to 16cbcc864012898793cd2bc57f802499a264ea40. The impacted element is the function _sg_pipeline_desc_defaults in the library sokol_gfx.h. The manipulation results in stack-based buffer overflow. The attack requires a local approach. The exploit is now public and may be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The patch is identified as 5d11344150973f15e16d3ec4ee7550a73fb995e0. It is advisable to implement a patch to correct this issue.

The Netskope client service, v57 before 57.2.0.219 and v60 before 60.2.0.214, running with NT\SYSTEM privilege, accepts network connections from localhost. The connection handling function in this service suffers from a stack based buffer overflow in "doHandshakefromServer" function. Local users can use this vulnerability to trigger a crash of the service and potentially cause additional impact on the system.

Stack buffer overflow due to instance id is misplaced inside definition of hardware accelerated effects in makefile in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Mobile in APQ8053, APQ8098, MDM9607, MDM9640, MSM8998, QCS605, SC8180X, SDM439, SDM630, SDM636, SDM660, SDM845, SDX24, SDX55, SM6150, SM7150, SM8150, SXR1130

Memory corruption issues in Intel(R) WIFI Drivers before version 21.40 may allow a privileged user to potentially enable escalation of privilege, denial of service, and information disclosure via local access.