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Archivo de vulnerabilidades 220
Restablecer filtrosVyper's bounds check on built-in `slice()` function can be overflowed
Vyper's raw_call `value=` kwargs not disabled for static and delegate calls
concat built-in can corrupt memory in vyper
incorrect storage layout for contracts containing large arrays
aiohttp's ClientSession is vulnerable to CRLF injection via version
Ethereum ABI decoder DoS when parsing ZST
Werkzeug DoS: High resource usage when parsing multipart/form-data containing a large part with CR/LF character at the beginning
Piccolo's current `BaseUser.login` implementation is vulnerable to time based user enumeration
Vyper: reversed order of side effects for some operations
MindSpore vulnerable to memory corruption
Vyper vulnerable to OOB DynArray access when array is on both LHS and RHS of an assignment
Invalid char to bool conversion when printing a tensor
Segfault via invalid attributes in `pywrap_tfe_src.cc`
Overflow in `tf.keras.losses.poisson`
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
TensorFlow vulnerable to `CHECK` fail in `MaxPool`
TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
TensorFlow vulnerable to assertion fail on MLIR empty edge names
Poetry Argument Injection can lead to Local Code Execution
Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow
Segfault and OOB write due to incomplete validation in `EditDistance` in TensorFlow
Segfault due to missing support for quantized types
** DISPUTED ** svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model S
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