34 matches found
PYSEC-2021-535
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
PYSEC-2021-733
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
PYSEC-2021-535
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
Out-of-bounds
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
PYSEC-2021-735
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
CVE-2021-29607
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in "SparseAdd" results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
CVE-2021-29609 Incomplete validation in `SparseAdd`
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
CVE-2021-29609
TensorFlow SparseAdd (CVE-2021-29609) has incomplete validation for sparse tensor inputs, allowing invalid tensor triples to slip through valid code paths. The vulnerability arises from not validating that inputs are non-empty and that the second dimension of *_indices matches the corresponding *...
CVE-2021-29609
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in "SparseAdd" results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
Google TensorFlow code issues and vulnerabilities
Google TensorFlow is an end-to-end open source machine learning platform. Google TensorFlow has a security vulnerability. The vulnerability stems from incomplete validation of SparseAdd. No details of the vulnerability are provided at this time...
PT-2021-18358 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: Incomplete validation in SparseAdd results...
CVE-2021-29609: Improper Initialization
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
CVE-2021-29607: Improper Check for Unusual or Exceptional Conditions
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...
Google TensorFlow code issues and vulnerabilities
Google TensorFlow is an end-to-end open source machine learning platform. Google TensorFlow has a security vulnerability. The vulnerability stems from incomplete validation of SparseAdd. No details of the vulnerability are provided at this time...