38 matches found
TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
ImpactIf the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give an FPE.pythonimport tensorflow as tfimport numpy as [email protected]=Truedef test: y = tf.rawops.AvgPoolGradoriginputshape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0, padding="SAME",...
PYSEC-2026-3313 `FractionalMaxPoolGrad` Heap out of bounds read
Impact If FractionMaxPoolGrad is given outsize inputs rowpoolingsequence and colpoolingsequence, TensorFlow will crash. python import tensorflow as tf tf.rawops.FractionMaxPoolGrad originput = 1, 1, 1, 1, 1, origoutput = 1, 1, 1, outbackprop = 3, 3, 6, rowpoolingsequence = -0x4000000, 1, 1,...
PYSEC-2026-3165 `FractionalMaxPoolGrad` Heap out of bounds read
Impact If FractionMaxPoolGrad is given outsize inputs rowpoolingsequence and colpoolingsequence, TensorFlow will crash. python import tensorflow as tf tf.rawops.FractionMaxPoolGrad originput = 1, 1, 1, 1, 1, origoutput = 1, 1, 1, outbackprop = 3, 3, 6, rowpoolingsequence = -0x4000000, 1, 1,...
TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
ImpactFractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack:pythonimport tensorflow as tfoverlapping = Trueoriginput = tf.constant.453409232,...
TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
ImpactFractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack:pythonimport tensorflow as tfoverlapping = Trueoriginput = tf.constant.453409232,...
PYSEC-2026-3250 TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
Impact FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack: python import tensorflow as tf overlapping = True originput = tf.constant.453409232,...
TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`
ImpactThe implementation of AvgPoolGrad does not fully validate the input originputshape. This results in a CHECK failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfksize = 1, 2, 2, 1strides = 1, 2, 2, 1padding = "VALID"dataformat = "NHWC"originputshape =...
TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`
ImpactThe 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.pythonimport tensorflow as tfoverlapping = Trueoriginputtensorshape =...
PYSEC-2026-3133 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 =...
PYSEC-2026-3296 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 =...
PT-2026-59782
Impact If FractionMaxPoolGrad is given outsize inputs row pooling sequence and col pooling sequence, TensorFlow will crash. python import tensorflow as tf tf.raw ops.FractionMaxPoolGrad orig input = 1, 1, 1, 1, 1, orig output = 1, 1, 1, out backprop = 3, 3, 6, row pooling sequence = -0x4000000, 1...
PT-2026-59865
Impact FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack: python import tensorflow as tf overlapping = True orig input = tf.constant.453409232,...
PT-2026-59750
Impact The implementation of FractionalAvgPoolGrad does not fully validate the input orig input tensor shape. 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 orig input tensor...
TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`
ImpactThe implementation of AvgPoolGrad does not fully validate the input originputshape. This results in a CHECK failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfksize = 1, 2, 2, 1strides = 1, 2, 2, 1padding = "VALID"dataformat = "NHWC"originputshape =...
TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`
ImpactThe 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.pythonimport tensorflow as tfoverlapping = Trueoriginputtensorshape =...
PYSEC-2026-969 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 =...
Denial of Service (DoS)
Overview Affected versions of this package are vulnerable to Denial of Service DoS due to a floating point exception if the stride and window size are not positive for tf.rawops.AvgPoolGrad. PoC import tensorflow as tf import numpy as np @tf.functionjitcompile=True def test: y =...
AZL-35309 CVE-2023-25664 affecting package tensorflow for versions less than 2.11.1-1
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1...
PT-2023-20230
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.12.0 and 2.11.1 Description The issue arises when the stride and window size are not positive for tf.raw ops.AvgPoolGrad, potentially causing a floating point exception. Recommendations For versions prior to...
