9247 matches found
GHSA-84JM-4CF3-9JFM TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`
Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True originputtensorshape =...
GHSA-H5VQ-GW2C-PQ47 TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`
Impact The UnbatchGradOp function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program. python import numpy as np import tensorflow as tf id is not scalar tf.rawops.UnbatchGradoriginalinput= tf.constant1,batchindex=tf.constant0,0,0 ...
TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`
Impact The UnbatchGradOp function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program. python import numpy as np import tensorflow as tf id is not scalar tf.rawops.UnbatchGradoriginalinput= tf.constant1,batchindex=tf.constant0,0,0 ...
TensorFlow vulnerable to Int overflow in `RaggedRangeOp`
Impact The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the program. python...
GHSA-X989-Q2PQ-4Q5X TensorFlow vulnerable to Int overflow in `RaggedRangeOp`
Impact The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the program. python...
GHSA-FHFC-2Q7X-929F TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`
Impact When CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack. python import tensorflow as tf arg0=1 arg1=1 arg2=1 arg3=1 arg4=3, 3,3 arg5='auto' arg6=0 arg7='' tf.rawops.CollectiveGatherinput=arg0, groupsize=arg1,...
TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`
Impact When CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack. python import tensorflow as tf arg0=1 arg1=1 arg2=1 arg3=1 arg4=3, 3,3 arg5='auto' arg6=0 arg7='' tf.rawops.CollectiveGatherinput=arg0, groupsize=arg1,...
TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation
Impact In core/kernels/listkernels.cc's TensorListReserve, numelements is assumed to be a tensor of size 1. When a numelements of more than 1 element is provided, then tf.rawops.TensorListReserve fails the CHECKEQ in CheckIsAlignedAndSingleElement. python import tensorflow as tf...
GHSA-V5XG-3Q2C-C2R4 TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation
Impact In core/kernels/listkernels.cc's TensorListReserve, numelements is assumed to be a tensor of size 1. When a numelements of more than 1 element is provided, then tf.rawops.TensorListReserve fails the CHECKEQ in CheckIsAlignedAndSingleElement. python import tensorflow as tf...
TensorFlow vulnerable to floating point exception in `Conv2D`
Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...
GHSA-Q5JV-M6QW-5G37 TensorFlow vulnerable to floating point exception in `Conv2D`
Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...
TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
Impact The implementation of AvgPool3DGradOp does not fully validate the input originputshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 padding ...
GHSA-WXJJ-CGCX-R3VQ TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
Impact The implementation of AvgPool3DGradOp does not fully validate the input originputshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 padding ...
CVE-2022-36016 `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` in TensorFlow
TensorFlow is an open source platform for machine learning. When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. We have patched the issue in GitHub commit...
CVE-2022-36016 `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` in TensorFlow
TensorFlow is an open source platform for machine learning. When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. We have patched the issue in GitHub commit...
CVE-2022-36016
TensorFlow is an open source platform for machine learning. When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. We have patched the issue in GitHub commit...
CVE-2022-36016 `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` in TensorFlow
TensorFlow is an open source platform for machine learning. When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. We have patched the issue in GitHub commit...
CVE-2022-36016
TensorFlow CVE-2022-36016: A CHECK failure in tensorflow::full_type::SubstituteFromAttrs triggers when FullTypeDef& t has not exactly three args. This can cause a denial-of-service-like impact via a crash. A patch is committed (6104f0d4091c260ce9352f9155f7e9b725eab012) and will be included in Ten...
CVE-2022-36005 `CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow
TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...
CVE-2022-36005
TensorFlow vulnerability CVE-2022-36005: a CHECK failure in tf.quantization.fake_quant_with_min_max_vars_gradient when min or max inputs are non-scalar can trigger a denial of service. A patch is committed (f3cf67ac5705f4f04721d15e485e192bb319feed) and will be included in TensorFlow 2.10.0; the f...