38 matches found
PYSEC-2026-3236 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
Impact If the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjitcompile=True def test: y = tf.rawops.AvgPoolGradoriginputshape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...
TensorFlow vulnerable to `CHECK` fail in `MaxPool`
ImpactWhen MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npinput = np.ones1, 1, 1, 1ksize = 1, 1, 2, 2strid...
TensorFlow vulnerable to `CHECK` fail in `MaxPool`
ImpactWhen MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npinput = np.ones1, 1, 1, 1ksize = 1, 1, 2, 2strid...
PYSEC-2026-3215 TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...
TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
ImpactThe AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program.pythonimport tensorflow as tfimport numpy as npvalue = np.ones1, 1, 1, 1ksize = 1, 1e20, 1, 1strides = 1, 1, 1, 1padding =...
TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
ImpactThe AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program.pythonimport tensorflow as tfimport numpy as npvalue = np.ones1, 1, 1, 1ksize = 1, 1e20, 1, 1strides = 1, 1, 1, 1padding =...
PYSEC-2026-3351 TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...
PT-2026-59822
Impact When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np input = np.ones1, 1, 1, 1 ksize = 1, 1, 2, ...
PT-2026-59957
Impact When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np input = np.ones1, 1, 1, 1 ksize = 1, 1, 2, ...
PT-2026-59980
Impact If the stride and window size are not positive for tf.raw ops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjit compile=True def test: y = tf.raw ops.AvgPoolGradorig input shape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...
PT-2026-59832
Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...
PT-2026-59965
Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...
PT-2026-59852
Impact If the stride and window size are not positive for tf.raw ops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjit compile=True def test: y = tf.raw ops.AvgPoolGradorig input shape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...
TensorFlow vulnerable to `CHECK` fail in `MaxPool`
ImpactWhen MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npinput = np.ones1, 1, 1, 1ksize = 1, 1, 2, 2strid...
TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
ImpactThe AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program.pythonimport tensorflow as tfimport numpy as npvalue = np.ones1, 1, 1, 1ksize = 1, 1e20, 1, 1strides = 1, 1, 1, 1padding =...
PYSEC-2026-1019 TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...
EUVD-2022-6876
Malicious code in bioql PyPI...
EUVD-2022-6847
Malicious code in bioql PyPI...
CVE-2022-49142
In the Linux kernel, the following vulnerability has been resolved: net: preserve skbendoffset in skbunclonekeeptruesize syzbot found another way to trigger the infamous WARNONONCEdelta truesize value, we also need to make sure TCP wont fill new tailroom that pskbexpandhead was able to get from a...
BIT-TENSORFLOW-2022-35941 `CHECK` failure in `AvgPoolOp` in Tensorflow
TensorFlow is an open source platform for machine learning. The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. We have patched the issue in GitHub commit...