14314 matches found
animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-21733 via tensorflow-gpu (>=2.6.0 <=2.6.2)
tensorflow-gpu PYPI version =2.6.0, =1.1.2, =0.1.5, =0.1.0, =0.9.0, =1.0.5, =1.0.6 Source cves: CVE-2022-21733 Source advisory: OSV:PYSEC-2022-112...
animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-21732 via tensorflow-gpu (>=2.6.0 <=2.6.2)
tensorflow-gpu PYPI version =2.6.0, =1.1.2, =0.1.5, =0.1.0, =0.9.0, =1.0.5, =1.0.6 Source cves: CVE-2022-21732 Source advisory: OSV:PYSEC-2022-111...
a62-emotion (>=0.10.12 <=0.11.4), agent-atm (>=0.1.0 <=0.1.1) +102 more potentially affected by CVE-2022-21731 via tensorflow-cpu (>=1.15.0 <=2.4.4)
tensorflow-cpu PYPI version =1.15.0, =0.10.12, =0.1.0, =2.0.0, =2.0.0, =1.0.0, =0.0.5, =0.3.0, =0.0.1, =0.8.1, =0.1.1, =1.3.0, =0.1.0.dev1, =0.1.0.dev202107081840 and more Source cves: CVE-2022-21731 Source advisory: OSV:PYSEC-2022-55...
arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +171 more potentially affected by CVE-2022-21731 via tensorflow-gpu (>=1.10.1 <=2.5.1)
tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.9.2, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 - cctv-analysis =0.0.2 and more Source cves: CVE-2022-21731 Source advisory: OSV:PYSEC-2022-110...
PYSEC-2022-132
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...
PYSEC-2022-57
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
PYSEC-2022-112
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
PYSEC-2022-110
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...
PYSEC-2022-77
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...
PYSEC-2022-60
Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value. The 3 input arguments to SparseTensorSliceDataset represent a sparse tensor. However, there are...
PYSEC-2022-115
Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value. The 3 input arguments to SparseTensorSliceDataset represent a sparse tensor. However, there are...
PYSEC-2022-55
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...
PYSEC-2022-57
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
Integer overflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
Design/Logic Flaw
Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the numthreads argument is only checked to not be negative, but there is no upper bound on its value. Th...
Type confusion
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...
PYSEC-2022-111
Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the numthreads argument is only checked to not be negative, but there is no upper bound on its value. Th...
PYSEC-2022-132
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...
PYSEC-2022-131
Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial...
Integer overflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...