In this physical attack, an attacker may potentially exploit the Zynq-7000 SoC First Stage Boot Loader (FSBL) by bypassing authentication and loading a malicious image onto the device. This in turn may further allow the attacker to perform additional attacks such as such as using the device as a decryption oracle. An anticipated mitigation via a 2022.1 patch will resolve the issue.
The dvd_read_bca function in the DVD handling code in drivers/cdrom/cdrom.c in Linux kernel 2.2.16, and later versions, assigns the wrong value to a length variable, which allows local users to execute arbitrary code via a crafted USB Storage device that triggers a buffer overflow.
The BPF subsystem in the Linux kernel before 4.17 mishandles situations with a long jump over an instruction sequence where inner instructions require substantial expansions into multiple BPF instructions, leading to an overflow. This affects kernel/bpf/core.c and net/core/filter.c.
Buffer overflow in (1) nethack 3.4.0 and earlier, and (2) falconseye 1.9.3 and earlier, which is based on nethack, allows local users to gain privileges via a long -s command line option.
A possible buffer overflow vulnerability in maetd_eco_cb_mode of libSPenBase library of Samsung Notes prior to Samsung Notes version 4.3.02.61 allows arbitrary code execution.
An improper length check in APAService prior to SMR Sep-2021 Release 1 results in stack based Buffer Overflow.
A possible buffer overflow vulnerability in libSPenBase library of Samsung Notes prior to Samsung Note version 4.3.02.61 allows arbitrary code execution.
Buffer overflow in MySQL daemon (mysqld) before 3.23.50, and 4.0 beta before 4.02, on the Win32 platform, allows local users to execute arbitrary code via a long "datadir" parameter in the my.ini initialization file, whose permissions on Windows allow Full Control to the Everyone group.
A possible stack-based buffer overflow vulnerability in Widevine trustlet prior to SMR Oct-2021 Release 1 allows arbitrary code execution.
The Baseboard Management Controller(BMC) in HPE Cloudline CL5800 Gen9 Server; HPE Cloudline CL5200 Gen9 Server; HPE Cloudline CL4100 Gen10 Server; HPE Cloudline CL3100 Gen10 Server; HPE Cloudline CL5800 Gen10 Server BMC firmware has a local buffer overlfow in spx_restservice addlicense_func function.
A possible buffer overflow vulnerability in NPU driver prior to SMR JUN-2021 Release 1 allows arbitrary memory write and code execution.
A possible buffer overflow vulnerability in maetd_dec_slice of libSPenBase library of Samsung Notes prior to Samsung Notes version 4.3.02.61 allows arbitrary code execution.
A specially crafted TCP/IP packet may cause the camera recovery image web interface to crash. It may also cause a buffer overflow which could enable remote code execution. The recovery image can only be booted with administrative rights or with physical access to the camera and allows the upload of a new firmware in case of a damaged firmware.
A local buffer overflow vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9; HPE Integrated Lights-Out 5 (iLO 5) for HPE Gen10 Servers; HPE SimpliVity 380 Gen10; HPE SimpliVity 2600; HPE SimpliVity 380 Gen10 G; HPE SimpliVity 325; HPE SimpliVity 380 Gen10 H version(s): Prior to version 2.78.
A specially crafted TCP/IP packet may cause a camera recovery image telnet interface to crash. It may also cause a buffer overflow which could enable remote code execution. The recovery image can only be booted with administrative rights or with physical access to the camera and allows the upload of a new firmware in case of a damaged firmware.
Multiple buffer overflows in STLport 5.0.2 might allow local users to execute arbitrary code via (1) long locale environment variables to a strcpy function call in c_locale_glibc2.c and (2) long arguments to unspecified functions in num_put_float.cpp.
A possible buffer overflow vulnerability in maetd_cpy_slice of libSPenBase library of Samsung Notes prior to Samsung Notes version 4.3.02.61 allows arbitrary code execution.
Malformed ATAES132A responses with an oversized length field overflow a 52-byte stack buffer in the Zephyr crypto driver, allowing a compromised device or bus attacker to corrupt kernel memory and potentially hijack execution.
An issue was discovered in the Linux kernel through 5.18.3 on powerpc 32-bit platforms. There is a buffer overflow in ptrace PEEKUSER and POKEUSER (aka PEEKUSR and POKEUSR) when accessing floating point registers.
A buffer over flow in Xiongmai DVR devices NBD80X16S-KL, NBD80X09S-KL, NBD80X08S-KL, NBD80X09RA-KL, AHB80X04R-MH, AHB80X04R-MH-V2, AHB80X04-R-MH-V3, AHB80N16T-GS, AHB80N32F4-LME, and NBD90S0VT-QW allows attackers to cause a Denial of Service (DoS) via a crafted RSTP request.
st21nfca_connectivity_event_received in drivers/nfc/st21nfca/se.c in the Linux kernel through 5.16.12 has EVT_TRANSACTION buffer overflows because of untrusted length parameters.
An issue was discovered in WinAPRS 2.9.0. A buffer overflow in national.txt processing allows a local attacker to cause a denial of service or possibly achieve code execution. NOTE: This vulnerability only affects products that are no longer supported by the maintainer
A buffer overflow vulnerability exists in the httpd parse_ping_result API functionality of InHand Networks InRouter302 V3.5.4. A specially-crafted file can lead to remote code execution. An attacker can send a sequence of requests to trigger this vulnerability.
An improper boundary check in RPMB ldfw prior to SMR Feb-2022 Release 1 allows arbitrary memory write and code execution.
Certain NETGEAR devices are affected by a buffer overflow. This affects D6200 before 1.1.00.24, D7000 before 1.0.1.52, JNR1010v2 before 1.1.0.44, JR6150 before 1.0.1.12, JWNR2010v5 before 1.1.0.44, PR2000 before 1.0.0.20, R6020 before 1.0.0.26, R6050 before 1.0.1.12, R6080 before 1.0.0.26, R6120 before 1.0.0.36, R6220 before 1.1.0.60, R6700v2 before 1.2.0.12, R6800 before 1.2.0.12, R6900v2 before 1.2.0.12, WNDR3700v5 before 1.1.0.50, WNR1000v4 before 1.1.0.44, WNR2020 before 1.1.0.44, and WNR2050 before 1.1.0.44.
In msm_isp_prepare_v4l2_buf in Android for MSM, Firefox OS for MSM, and QRD Android before 2017-02-12, an array out of bounds can occur.
Trusted Firmware M 1.4.x through 1.4.1 has a buffer overflow issue in the Firmware Update partition. In the IPC model, a psa_fwu_write caller from SPE or NSPE can overwrite stack memory locations.
A flaw was found in the QXL display device emulation in QEMU. A double fetch of guest controlled values `cursor->header.width` and `cursor->header.height` can lead to the allocation of a small cursor object followed by a subsequent heap-based buffer overflow. A malicious privileged guest user could use this flaw to crash the QEMU process on the host or potentially execute arbitrary code within the context of the QEMU process.
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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.
A buffer overflow vulnerability in stm32_mw_usb_host of STMicroelectronics in versions before 3.5.1 allows an attacker to execute arbitrary code when the descriptor contains more endpoints than USBH_MAX_NUM_ENDPOINTS. The library is typically integrated when using a RTOS such as FreeRTOS on STM32 MCUs.
NXP MCUXpresso SDK v2.7.0 was discovered to contain a buffer overflow in the function USB_HostProcessCallback().
NXP MCUXpresso SDK v2.7.0 was discovered to contain a buffer overflow in the function USB_HostParseDeviceConfigurationDescriptor().
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.ExperimentalDatasetToTFRecord` and `tf.raw_ops.DatasetToTFRecord` can trigger heap buffer overflow and segmentation fault. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_record_op.cc#L93-L102) assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. 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.
A buffer overflow vulnerability in the USBH_ParseEPDesc() function of STMicroelectronics STM32Cube Middleware v1.8.0 and below allows attackers to execute arbitrary code.
A buffer overflow vulnerability in the USBH_ParseInterfaceDesc() function of STMicroelectronics STM32Cube Middleware v1.8.0 and below allows attackers to execute arbitrary code.
A potential buffer overflow in the software drivers for certain HP LaserJet products and Samsung product printers could lead to an escalation of privilege.
A buffer overflow vulnerability in the USBH_ParseCfgDesc() function of STMicroelectronics STM32Cube Middleware v1.8.0 and below allows attackers to execute arbitrary code.
A buffer overflow vulnerability in McAfee Data Loss Prevention (DLP) Endpoint for Windows prior to 11.6.200 allows a local attacker to execute arbitrary code with elevated privileges through placing carefully constructed Ami Pro (.sam) files onto the local system and triggering a DLP Endpoint scan through accessing a file. This is caused by the destination buffer being of fixed size and incorrect checks being made on the source size.
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.
Improper size validation of QXDM commands can lead to memory corruption in Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile
A potential local buffer overflow vulnerability has been identified in HPE FlexNetwork 5130 EL Switch Series version: Prior to 5130_EI_7.10.R3507P02. HPE has made the following software update to resolve the vulnerability in HPE FlexNetwork 5130 EL Switch Series version 5130_EL_7.10.R3507P02.
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. 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.
Improper validation of input when provisioning the HDCP key can lead to memory corruption in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Voice & Music, Snapdragon Wearables
Buffer overflow in sahara protocol while processing commands leads to overwrite of secure configuration data in Snapdragon Mobile, Snapdragon Compute, Snapdragon Auto, Snapdragon IOT, Snapdragon Connectivity, Snapdragon Voice & Music
Possible out of bound access due to improper validation of item size and DIAG memory pools data while switching between USB and PCIE interface in Snapdragon Auto, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables, Snapdragon Wired Infrastructure and Networking
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.
An issue was discovered in the Linux kernel through 5.11.8. The sound/soc/qcom/sdm845.c soundwire device driver has a buffer overflow when an unexpected port ID number is encountered, aka CID-1c668e1c0a0f. (This has been fixed in 5.12-rc4.)
Possible out of bound write due to lack of boundary check for the maximum size of buffer when sending a DCI packet to remote process in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables, Snapdragon Wired Infrastructure and Networking
TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. 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.
In IoT Devices SDK, there is an implementation of calloc() that doesn't have a length check. An attacker could pass in memory objects larger than the buffer and wrap around to have a smaller buffer than required, allowing the attacker access to the other parts of the heap. We recommend upgrading the Google Cloud IoT Device SDK for Embedded C used to 1.0.3 or greater.