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.
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 wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.
A heap-based overflow vulnerability in makeContactAGIF in libagifencoder.quram.so library prior to SMR Oct-2022 Release 1 allows attacker to perform code execution.
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 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. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. 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.
A heap-based overflow vulnerability in LoadEnvironment 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 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 MHW_RECOG_LIB_INFO 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 MHW_RECOG_LIB_INFO 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 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 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 PrepareRecogLibrary_Part 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.
Heap buffer overflow in Layout in Google Chrome prior to 127.0.6533.99 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)
Heap buffer overflow in Fonts in Google Chrome prior to 128.0.6613.84 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)
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.
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_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_iloc 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 sheifd_create function of libsimba library prior to SMR Apr-2022 Release 1 allows code execution by remote attackers.
Improper boundary check in Quram Agif library prior to SMR Apr-2022 Release 1 allows arbitrary code execution.
In initDecoder of C2SoftDav1dDec.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.
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)
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 syna_cdev_ioctl_store_pid() of syna_tcm2_sysfs.c, there is a possible out of bounds write due to a heap buffer overflow. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.
In draw_surface_image() of abl/android/lib/draw/draw.c, there is a possible out of bounds write due to a heap buffer overflow. This could lead to local escalation of privilege via USB fastboot, after a bootloader unlock, with no additional execution privileges needed. User interaction is needed for exploitation.
Heap buffer overflow in Codecs in Google Chrome on Windows prior to 135.0.7049.95 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: Critical)
In Skia, there is a possible out of bounds write due to a heap buffer overflow. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.
In appendFrom of Parcel.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 initializeSwizzler of SkBmpStandardCodec.cpp, there is a possible out of bounds write due to a heap buffer overflow. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.
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.
In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.
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.
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 buffer overflow in Sync in Google Chrome prior to 141.0.7390.65 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: High)
Heap buffer overflow in ANGLE in Google Chrome prior to 140.0.7339.185 allowed a remote attacker to potentially exploit heap corruption via malicious network traffic. (Chromium security severity: High)
Object corruption in V8 in Google Chrome prior to 132.0.6834.110 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)
Inappropriate implementation in V8 in Google Chrome prior to 129.0.6668.58 allowed a remote attacker to potentially exploit stack corruption via a crafted HTML page. (Chromium security severity: Medium)
Heap buffer overflow in Skia in Google Chrome prior to 128.0.6613.113 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)
Heap buffer overflow in Skia in Google Chrome prior to 128.0.6613.113 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)
Heap buffer overflow in PDFium in Google Chrome prior to 128.0.6613.84 allowed a remote attacker to perform an out of bounds memory read via a crafted PDF file. (Chromium security severity: Medium)