A heap-based overflow vulnerability in GetCorrectDbLanguageTypeEsPKc function in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in HWR::EngineCJK::Impl::Construct() in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in GetCorrectDbLanguageTypeEsPKc() function in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in ConstructDictionary function in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in prepareRecogLibrary function in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in HWR::EngJudgeModel::Construct() in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in PrepareRecogLibrary_Part function in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

Heap buffer overflow in WebAudio in Google Chrome prior to 124.0.6367.155 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

.NET and Visual Studio Remote Code Execution Vulnerability

.NET Remote Code Execution Vulnerability

Azure Service Fabric for Linux Remote Code Execution Vulnerability

In display, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS10196993; Issue ID: MSV-4796.

A possible heap-based buffer overflow vulnerability in Exynos CP Chipset prior to SMR Oct-2021 Release 1 allows arbitrary memory write and code execution.

An improper input validation vulnerability in sdfffd_parse_chunk_PROP() with Sample Rate Chunk in libsdffextractor library prior to SMR MAY-2021 Release 1 allows attackers to execute arbitrary code on mediaextractor process.

A heap-based buffer overflow was found in the Linux kernel's LightNVM subsystem. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a fixed-length heap-based buffer. This vulnerability allows a local attacker to escalate privileges and execute arbitrary code in the context of the kernel. The attacker must first obtain the ability to execute high-privileged code on the target system to exploit this vulnerability.

TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.

An improper input validation vulnerability in scmn_mfal_read() in libsapeextractor library prior to SMR MAY-2021 Release 1 allows attackers to execute arbitrary code on mediaextractor process.

Heap buffer overflow in GPU in Google Chrome on Android prior to 133.0.6943.126 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

Heap-based buffer overflow vulnerability in parser_single_iref function in libsimba library prior to SMR Apr-2022 Release 1 allows code execution by remote attacker.

Heap-based buffer overflow vulnerability in parser_ipma function of libsimba library prior to SMR Apr-2022 Release 1 allows code execution by remote attackers.

Heap-based buffer overflow vulnerability in parser_infe function in libsimba library prior to SMR Apr-2022 Release 1 allows code execution by remote attacker.

Heap-based buffer overflow vulnerability in parser_iloc function in libsimba library prior to SMR Apr-2022 Release 1 allows code execution by remote attacker.

Heap-based buffer overflow vulnerability in sheifd_get_info_image function in libsimba library prior to SMR Apr-2022 Release 1 allows code execution by remote attacker.

Heap buffer overflow in PDFium in Google Chrome prior to 145.0.7632.109 allowed a remote attacker to perform an out of bounds memory write via a crafted PDF file. (Chromium security severity: High)

Heap-based buffer overflow vulnerability in sheifd_create function of libsimba library prior to SMR Apr-2022 Release 1 allows code execution by remote attackers.

Heap buffer overflow in ANGLE in Google Chrome prior to 123.0.6312.122 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

Improper boundary check in Quram Agif library prior to SMR Apr-2022 Release 1 allows arbitrary code execution.

there is a possible out of bounds write due to a heap buffer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Heap buffer overflow in HTML in Google Chrome prior to 136.0.7103.59 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

Heap buffer overflow in libvpx in Google Chrome prior to 144.0.7559.132 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

An improper input validation vulnerability in libswmfextractor library prior to SMR APR-2021 Release 1 allows attackers to execute arbitrary code on mediaextractor process.

An improper input validation vulnerability in libsapeextractor library prior to SMR Sep-2021 Release 1 allows attackers to execute arbitrary code in mediaextractor process.

In multiple locations, there is a possible out of bounds read and write due to a heap buffer overflow. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation.

In ConvertReductionOp of darwinn_mlir_converter_aidl.cc, there is a possible out of bounds write due to a heap buffer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In NrmmDecoder::DecodeSORTransparentContext of cn_NrmmDecoder.cpp, there is a possible out of bounds write due to a heap buffer overflow. This could lead to remote (proximal/adjacent) escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Heap buffer overflow in libaom in Google Chrome prior to 139.0.7258.127 allowed a remote attacker to potentially exploit heap corruption via a curated set of gestures. (Chromium security severity: High)

A bug affects the Linux kernel’s ksmbd NTLMv2 authentication and is known to crash the OS immediately in Linux-based systems.

NVIDIA DCGM for Linux contains a vulnerability in HostEngine (server component) where a user may cause a heap-based buffer overflow through the bound socket. A successful exploit of this vulnerability may lead to denial of service and data tampering.

In multiple functions of NdkMediaCodec.cpp, there is a possible out of bounds write due to a heap buffer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

There is a buffer overwrite vulnerability in the Quram qmg library of Samsung's Android OS versions O(8.x), P(9.0) and Q(10.0). An unauthenticated, unauthorized attacker sending a specially crafted MMS to a vulnerable phone can trigger a heap-based buffer overflow in the Quram image codec leading to an arbitrary remote code execution (RCE) without any user interaction. The Samsung ID is SVE-2020-16747.

NVIDIA Triton Inference Server contains a vulnerability in the HTTP server, where an attacker could start a reverse shell by sending a specially crafted HTTP request. A successful exploit of this vulnerability might lead to remote code execution, denial of service, data tampering, or information disclosure.

Heap buffer overflow in Skia in Google Chrome prior to 121.0.6167.160 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

In convertYUV420Planar16ToY410 of ColorConverter.cpp, there is a possible out of bounds write due to a heap buffer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In setParameter of MtpPacket.cpp, there is a possible out of bounds read due to a heap buffer overflow. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In multiple functions of ashmem-dev.cpp, there is a possible missing seal due to a heap buffer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.