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 vulnerability was found in saitoha libsixel up to 1.10.3. Affected by this issue is the function sixel_debug_print_palette of the file src/encoder.c of the component img2sixel. The manipulation results in stack-based buffer overflow. The attack must be initiated from a local position. The exploit has been made public and could be used. The patch is identified as 316c086e79d66b62c0c4bc66229ee894e4fdb7d1. Applying a patch is advised to resolve this issue.
The POSIX component of Microsoft Windows NT and Windows 2000 allows local users to execute arbitrary code via certain parameters, possibly by modifying message length values and causing a buffer overflow.
A flaw has been found in appneta tcpreplay up to 4.5.1. The affected element is the function fix_ipv6_checksums of the file edit_packet.c of the component tcprewrite. This manipulation causes use after free. The attack is restricted to local execution. The exploit has been published and may be used. Upgrading to version 4.5.2-beta3 is sufficient to fix this issue. It is advisable to upgrade the affected component.
A flaw has been found in PoDoFo 1.1.0-dev. This issue affects the function PdfTokenizer::DetermineDataType of the file src/podofo/main/PdfTokenizer.cpp of the component PDF Dictionary Parser. Executing manipulation can lead to use after free. It is possible to launch the attack on the local host. The exploit has been published and may be used. This patch is called 22d16cb142f293bf956f66a4d399cdd65576d36c. A patch should be applied to remediate this issue.
A flaw was found in libcaca v0.99.beta19. A buffer overflow issue in caca_resize function in libcaca/caca/canvas.c may lead to local execution of arbitrary code in the user context.
A vulnerability, which was classified as critical, has been found in GNU cflow up to 1.8. Affected by this issue is the function yylex of the file c.c of the component Lexer. The manipulation leads to buffer overflow. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
A vulnerability has been found in Anvsoft PDFMate PDF Converter Pro 1.7.5.0 and classified as critical. The manipulation leads to memory corruption. The attack can be launched remotely. The exploit has been disclosed to the public and may be used.
A vulnerability was found in LibTIFF up to 4.7.0. It has been rated as critical. This issue affects the function setrow of the file tools/thumbnail.c. The manipulation leads to buffer overflow. An attack has to be approached locally. The patch is named e8c9d6c616b19438695fd829e58ae4fde5bfbc22. It is recommended to apply a patch to fix this issue. This vulnerability only affects products that are no longer supported by the maintainer.
A vulnerability has been found in NASM Netwide Assember 2.17rc0. Affected is the function parse_line of the file parser.c. The manipulation 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.
A flaw has been found in libretro RetroArch 1.18.0/1.19.0/1.20.0. This affects the function filestream_vscanf of the file libretro-common/streams/file_stream.c. This manipulation causes out-of-bounds read. The attack needs to be launched locally. Upgrading to version 1.21.0 mitigates this issue. It is recommended to upgrade the affected component.
A vulnerability, which was classified as critical, has been found in libav up to 12.3. Affected by this issue is the function main of the file /avtools/avconv.c of the component DSS File Demuxer. The manipulation leads to double free. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used. The bug was initially reported by the researcher to the wrong project. This vulnerability only affects products that are no longer supported by the maintainer.
Improper buffer restrictions in firmware for some Intel(R) Wireless Bluetooth(R) and Killer(TM) Bluetooth(R) products before version 22.120 may allow an authenticated user to potentially enable escalation of privilege via local access.
A vulnerability was identified in neurobin shc up to 4.0.3. This issue affects the function make of the file src/shc.c. The manipulation leads to stack-based buffer overflow. The attack can only be performed from a local environment. The exploit is publicly available and might be used.
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.
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.
A vulnerability has been found in HDF5 1.14.6 and classified as problematic. Affected by this vulnerability is the function H5G__node_cmp3 of the file src/H5Gnode.c. The manipulation 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.
A vulnerability, which was classified as problematic, has been found in GNU Binutils 2.45. Affected by this issue is the function bfd_elf_set_group_contents of the file bfd/elf.c. The manipulation leads to out-of-bounds write. It is possible to launch the attack on the local host. The exploit has been disclosed to the public and may be used. The name of the patch is 41461010eb7c79fee7a9d5f6209accdaac66cc6b. It is recommended to apply a patch to fix this issue.
Windows Kernel Elevation of Privilege Vulnerability
kernel/bpf/verifier.c in the Linux kernel through 4.14.8 allows local users to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging improper use of pointers in place of scalars.
Memory corruption during session sign renewal request calls in HLOS.
kernel/bpf/verifier.c in the Linux kernel through 4.14.8 allows local users to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging incorrect BPF_RSH signed bounds calculations.
The check_stack_boundary function in kernel/bpf/verifier.c in the Linux kernel through 4.14.8 allows local users to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging mishandling of invalid variable stack read operations.
A vulnerability was found in Sricam IP CCTV Camera. It has been classified as critical. Affected is an unknown function of the component Device Viewer. The manipulation leads to memory corruption. Local access is required to approach this attack.
kernel/bpf/verifier.c in the Linux kernel through 4.14.8 allows local users to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging register truncation mishandling.
Buffer overflow can occur while processing non-standard NAN message from user space. in Snapdragon Auto, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wired Infrastructure and Networking in APQ8009, APQ8017, APQ8053, APQ8064, APQ8096AU, IPQ4019, IPQ8064, IPQ8074, MDM9206, MDM9207C, MDM9607, MDM9640, MDM9650, MSM8905, MSM8996AU, QCA6174A, QCA6574AU, QCA9377, QCA9379, QCN7605, QCS405, QCS605, SDA660, SDA845, SDM636, SDM660, SDM845, SDX20, SDX24, SM8150
A buffer overflow was addressed with improved bounds checking. This issue is fixed in macOS Monterey 12.1, Security Update 2021-008 Catalina, macOS Big Sur 11.6.2. An application may be able to execute arbitrary code with kernel privileges.
Buffer overflow when the audio buffer size provided by user is larger than the maximum allowable audio buffer size. in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables in MDM9150, MDM9206, MDM9607, MDM9640, MDM9650, MSM8909W, MSM8996AU, QCS405, QCS605, Qualcomm 215, SD 210/SD 212/SD 205, SD 425, SD 427, SD 430, SD 435, SD 439 / SD 429, SD 450, SD 615/16/SD 415, SD 625, SD 632, SD 636, SD 665, SD 675, SD 712 / SD 710 / SD 670, SD 730, SD 820, SD 820A, SD 835, SD 845 / SD 850, SD 855, SDA660, SDM439, SDM630, SDM660, SDX20, SDX24
kernel/bpf/verifier.c in the Linux kernel through 4.14.8 allows local users to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging the lack of stack-pointer alignment enforcement.
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.
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
Possible buffer overflow due to lack of range check while processing a DIAG command for COEX management in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
Improper validation of maximum size of data write to EFS file can lead to memory corruption in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
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.
Possible heap overflow due to improper validation of local variable while storing current task information locally in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables
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.
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.
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.
Possible heap Memory Corruption Issue due to lack of input validation when sending HWTC IQ Capture command in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid. Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access. 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.
kernel/bpf/verifier.c in the Linux kernel through 4.14.8 allows local users to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging mishandling of 32-bit ALU ops.
A vulnerability classified as critical was found in Open Asset Import Library Assimp up to 5.4.3. Affected by this vulnerability is the function read_meshes in the library assimp/code/AssetLib/MDL/HalfLife/HL1MDLLoader.cpp. The manipulation leads to heap-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. The project decided to collect all Fuzzer bugs in a main-issue to address them in the future.
Memory corruption when invalid length is provided from HLOS for FRS/UDS request/response buffers.
A vulnerability, which was classified as problematic, was found in HDF5 1.14.6. Affected is the function H5FL__reg_gc_list of the file src/H5FL.c. The manipulation leads to use after free. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
Improper size validation of QXDM commands can lead to memory corruption in Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile
A vulnerability has been found in HDF5 up to 1.14.6 and classified as critical. This vulnerability affects the function H5F_addr_decode_len of the file /hdf5/src/H5Fint.c. The manipulation leads to heap-based buffer overflow. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.
Possible out of bound memory access due to improper boundary check while creating HSYNC fence in Snapdragon Auto, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables
The check_alu_op function in kernel/bpf/verifier.c in the Linux kernel through 4.4 allows local users to cause a denial of service (memory corruption) or possibly have unspecified other impact by leveraging incorrect sign extension.
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.
A vulnerability, which was classified as critical, has been found in HDF5 up to 1.14.6. Affected by this issue is the function H5FS__sect_find_node of the file H5FSsection.c. The manipulation leads to heap-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.