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Archivo de vulnerabilidades 6.855
Restablecer filtrospyquokka is Vulnerable to Remote Code Execution by Pickle Deserialization via FlightServer
Mammoth is vulnerable to Directory Traversal
This issue affects Apache Spark versions before 3.4.4, 3.5.2 and 4.0.0.
BBOT's insufficient sanitization issues in gitdumper.py can lead to RCE
BBOT's various issues in unarchive.py can cause arbitrary file write and RCE
scio is vunerable to Remote Command Execution through PyTorch
Wasmtime: Memory leak in C API with `externref` and `anyref` types
A weakness has been identified in Open Asset Import Library Assimp 6.0.2. This affects the function Q3DImporter::InternReadFile of the file assimp/code/AssetLib/Q3D/Q3DLoader.cpp. Executing a manipula
A vulnerability was identified in Open Asset Import Library Assimp 6.0.2. Affected by this vulnerability is the function ODDLParser::getNextSeparator in the library assimp/contrib/openddlparser/includ
A vulnerability was determined in Open Asset Import Library Assimp 6.0.2. Affected is the function Q3DImporter::InternReadFile of the file assimp/code/AssetLib/Q3D/Q3DLoader.cpp. This manipulation cau
Weblate is a web based localization tool. An open redirect exists in versions 5.13.2 and below via the redir parameter on .within.website when Weblate is configured with Anubis and REDIRECT_DOMAINS is
marimo vulnerable to proxy abuse of /mpl/{port}/
Django vulnerable to SQL injection in column aliases
Apache Pyfory python is vulnerable to deserialization of untrusted data
Apache Airflow 3 introduced a change to the handling of sensitive information in Connections. The intent was to restrict access to sensitive connection fields to Connection Editing Users, effectively
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a
A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.
An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d,
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