Vulnerabilities (CVE)

Filtered by CWE-787
Total 10481 CVE
CVE Vendors Products Updated CVSS v2 CVSS v3
CVE-2020-10016 1 Apple 6 Ipados, Iphone Os, Mac Os X and 3 more 2022-04-26 9.3 HIGH 7.8 HIGH
A memory corruption issue was addressed with improved state management. This issue is fixed in macOS Big Sur 11.0.1, iOS 14.2 and iPadOS 14.2, tvOS 14.2, watchOS 7.1. An application may be able to execute arbitrary code with kernel privileges.
CVE-2020-13598 1 Zephyrproject 1 Zephyr 2022-04-26 4.6 MEDIUM 7.8 HIGH
FS: Buffer Overflow when enabling Long File Names in FAT_FS and calling fs_stat. Zephyr versions >= v1.14.2, >= v2.3.0 contain Stack-based Buffer Overflow (CWE-121). For more information, see https://github.com/zephyrproject-rtos/zephyr/security/advisories/GHSA-7fhv-rgxr-x56h
CVE-2022-28966 1 Wasm3 Project 1 Wasm3 2022-04-26 4.3 MEDIUM 5.5 MEDIUM
Wasm3 0.5.0 has a heap-based buffer overflow in NewCodePage in m3_code.c (called indirectly from Compile_BranchTable in m3_compile.c).
CVE-2021-25495 1 Samsung 1 Notes 2022-04-26 4.6 MEDIUM 7.8 HIGH
A possible heap buffer overflow vulnerability in libSPenBase library of Samsung Notes prior to Samsung Note version 4.3.02.61 allows arbitrary code execution.
CVE-2021-25492 1 Samsung 1 Notes 2022-04-26 3.6 LOW 7.1 HIGH
Lack of boundary checking of a buffer in libSPenBase library of Samsung Notes prior to Samsung Note version 4.3.02.61 allows OOB read.
CVE-2021-25461 1 Google 1 Android 2022-04-26 4.6 MEDIUM 7.8 HIGH
An improper length check in APAService prior to SMR Sep-2021 Release 1 results in stack based Buffer Overflow.
CVE-2021-20987 2 Hilscher, Pepperl-fuchs 23 Ethernet\/ip Adapter, Ethernet\/ip Adapter Firmware, Pcv100-f200-b25-v1d-6011 and 20 more 2022-04-26 7.8 HIGH 8.6 HIGH
A denial of service and memory corruption vulnerability was found in Hilscher EtherNet/IP Core V2 prior to V2.13.0.21that may lead to code injection through network or make devices crash without recovery.
CVE-2021-20986 2 Hilscher, Pepperl-fuchs 73 Profinet Io Device, Profinet Io Device Firmware, Ohv-f230-b17 and 70 more 2022-04-26 5.0 MEDIUM 7.5 HIGH
A Denial of Service vulnerability was found in Hilscher PROFINET IO Device V3 in versions prior to V3.14.0.7. This may lead to unexpected loss of cyclic communication or interruption of acyclic communication.
CVE-2021-26562 1 Synology 7 Diskstation Manager, Diskstation Manager Unified Controller, Skynas and 4 more 2022-04-26 6.8 MEDIUM 8.1 HIGH
Out-of-bounds write vulnerability in synoagentregisterd in Synology DiskStation Manager (DSM) before 6.2.3-25426-3 allows man-in-the-middle attackers to execute arbitrary code via syno_finder_site HTTP header.
CVE-2021-3404 3 Fedoraproject, Redhat, Ytnef Project 3 Fedora, Enterprise Linux, Ytnef 2022-04-25 6.8 MEDIUM 7.8 HIGH
In ytnef 1.9.3, the SwapWord function in lib/ytnef.c allows remote attackers to cause a denial-of-service (and potentially code execution) due to a heap buffer overflow which can be triggered via a crafted file.
CVE-2021-26951 1 Calamine Project 1 Calamine 2022-04-25 7.5 HIGH 9.8 CRITICAL
An issue was discovered in the calamine crate before 0.17.0 for Rust. It allows attackers to overwrite heap-memory locations because Vec::set_len is used without proper memory claiming, and this uninitialized memory is used for a user-provided Read operation, as demonstrated by Sectors::get.
CVE-2021-29614 1 Google 1 Tensorflow 2022-04-25 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.io.decode_raw` produces incorrect results and crashes the Python interpreter when combining `fixed_length` and wider datatypes. The implementation of the padded version(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc) is buggy due to a confusion about pointer arithmetic rules. First, the code computes(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L61) the width of each output element by dividing the `fixed_length` value to the size of the type argument. The `fixed_length` argument is also used to determine the size needed for the output tensor(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L63-L79). This is followed by reencoding code(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L85-L94). The erroneous code is the last line above: it is moving the `out_data` pointer by `fixed_length * sizeof(T)` bytes whereas it only copied at most `fixed_length` bytes from the input. This results in parts of the input not being decoded into the output. Furthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory. 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.
CVE-2021-29576 1 Google 1 Tensorflow 2022-04-25 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of `Pool3dParameters` completes successfully. Since the constructor(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses `OP_REQUIRES` to validate conditions, the first assertion that fails interrupts the initialization of `params`, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values. 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.
CVE-2021-29560 1 Google 1 Tensorflow 2022-04-25 3.6 LOW 7.1 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `tf.raw_ops.RaggedTensorToTensor`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) uses the same index to access two arrays in parallel. Since the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when `parent_output_index` is shorter than `row_split`. 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.
CVE-2021-29542 1 Google 1 Tensorflow 2022-04-25 2.1 LOW 5.5 MEDIUM
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow by passing crafted inputs to `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L171-L185) fails to consider corner cases where input would be split in such a way that the generated tokens should only contain padding elements. If input is such that `num_tokens` is 0, then, for `data_start_index=0` (when left padding is present), the marked line would result in reading `data[-1]`. 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.
CVE-2021-29520 1 Google 1 Tensorflow 2022-04-25 4.6 MEDIUM 7.8 HIGH
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.
CVE-2021-27397 1 Siemens 1 Tecnomatix Plant Simulation 2022-04-25 6.8 MEDIUM 7.8 HIGH
A vulnerability has been identified in Tecnomatix Plant Simulation (All versions < V16.0.5). The PlantSimCore.dll library lacks proper validation of user-supplied data when parsing SPP files. This could result in a memory corruption condition. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13287)
CVE-2021-27039 1 Autodesk 2 Autocad, Design Review 2022-04-25 6.8 MEDIUM 7.8 HIGH
A maliciously crafted TIFF and PCX file can be forced to read and write beyond allocated boundaries when parsing the TIFF and PCX file for based overflow. This vulnerability can be exploited to execute arbitrary code.
CVE-2021-27044 1 Autodesk 1 Fbx Review 2022-04-25 6.8 MEDIUM 7.8 HIGH
A Out-Of-Bounds Read/Write Vulnerability in Autodesk FBX Review version 1.4.0 may lead to remote code execution through maliciously crafted DLL files or information disclosure.
CVE-2021-36065 3 Adobe, Apple, Microsoft 3 Photoshop, Macos, Windows 2022-04-25 9.3 HIGH 7.8 HIGH
Adobe Photoshop versions 21.2.10 (and earlier) and 22.4.3 (and earlier) are affected by a heap-based buffer overflow vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.