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Medium 6.2
ONNX: Null Pointer Dereference in ScanInferenceFunction Due to Missing Required Attribute
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.4.0 until 1.22.0, ScanInferenceFunction, ScanInferenceFunction_opset8, and ScanInferenceFunction_opset9 do not safely validate the required num_scan_inputs a…
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Medium 6.2
ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.2.1 until 1.22.0, ConvTranspose shape inference processes a weight tensor with fewer than three dimensions without a kernel_shape attribute by deriving an em…
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Medium 6.2
ONNX: Out-of-Bounds Read in RNN/GRU/LSTM Shape Inference (Old Opsets, Missing Rank Check)
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verify…
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Medium 4.3
onnx onnxruntime old.cc convPoolShapeInference_opset19 out-of-bounds
A weakness has been identified in onnx up to 1.21.x. This vulnerability affects the function convPoolShapeInference_opset19 of the file onnx/defs/nn/old.cc of the component onnxruntime. This manipulation causes out-of-bounds read. It is possible to initiate t…
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Medium 4.7
ONNX: Arbitrary File Read via ExternalData Hardlink Bypass in ONNX load
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is an issue in onnx.load, the code checks for symlinks to prevent path traversal, but completely misses hardlinks because a hardlink …
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Medium 5.3
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are u…
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Medium 5.3
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
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Medium 5.3
In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" …
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Medium 5.3
PyTorch torch.lstm_cell memory corruption
A vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public an…
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Medium 6.4CVE-2024-6485 Public exploit
XSS in Bootstrap button component
A security vulnerability has been discovered in bootstrap that could enable Cross-Site Scripting (XSS) attacks. The vulnerability is associated with the data-loading-text attribute within the button plugin. This vulnerability can be exploited by injecting mal…
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Medium 5.5
Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader…
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Medium 4.0
PyTorch heap buffer overflow vulnerability
PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input.
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Medium 4.4
Onnx Out-of-bounds Read vulnerability
Versions of the package onnx before and including 1.15.0 are vulnerable to Out-of-bounds Read as the ONNX_ASSERT and ONNX_ASSERTM functions have an off by one string copy.
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Medium 6.1
Bootstrap Vulnerable to Cross-Site Scripting
In Bootstrap before 3.4.1 and 4.3.x before 4.3.1, XSS is possible in the tooltip or popover data-template attribute.
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Medium 6.1
bootstrap Cross-site Scripting vulnerability
In Bootstrap before 3.4.0, XSS is possible in the affix configuration target property.
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Medium 6.1CVE-2018-14042 Public exploit
Bootstrap Cross-site Scripting vulnerability
In Bootstrap before 4.1.2, XSS is possible in the data-container property of tooltip.