a2grunnerp (>=0.1.0 <=0.1.8), abba-python (>=0.1.6 <=0.3.0) +607 more potentially affected by CVE-2023-25673 via tensorflow (>=1.0.1 <=2.11.0rc2)

tensorflow PYPI version =1.0.1, =0.1.0, =0.1.6, =1.1.2, =0.0.1, =0.3.26, =1.1.0, =0.0.1, =0.2.0, =0.3.1, =0.5.1 and more Source cves: CVE-2023-25673 Source advisory: OSV:GHSA-647V-R7QQ-24FH...

GHSA-647V-R7QQ-24FH TensorFlow has Floating Point Exception in TensorListSplit with XLA

Impact FPE in TensorListSplit with XLA python import tensorflow as tf func = tf.rawops.TensorListSplit para = 'tensor': 1, 'elementshape': -1, 'lengths': 0 @tf.functionjitcompile=True def fuzzjit: y = funcpara return y printfuzzjit Patches We have patched the issue in GitHub commit...

cifar-10-model (=7.4.0), gamornet-cpu (>=0.2.3 <=0.4.3) +8 more potentially affected by CVE-2023-25673 via tensorflow-cpu (>=1.15.0 <=2.11.0)

tensorflow-cpu PYPI version =1.15.0, =0.2.3, =0.0.5, =1.0.0, =1.8.2, =0.1.3, =0.3.0.dev221212, =0.7.0, =0.7.5 Source cves: CVE-2023-25673 Source advisory: OSV:GHSA-647V-R7QQ-24FH...

TensorFlow has Floating Point Exception in TensorListSplit with XLA

Impact FPE in TensorListSplit with XLA python import tensorflow as tf func = tf.rawops.TensorListSplit para = 'tensor': 1, 'elementshape': -1, 'lengths': 0 @tf.functionjitcompile=True def fuzzjit: y = funcpara return y printfuzzjit Patches We have patched the issue in GitHub commit...

cifar-10-model (=7.4.0), gamornet-cpu (>=0.2.3 <=0.4.3) +8 more potentially affected by CVE-2023-25674 via tensorflow-cpu (>=1.15.0 <=2.11.0)

tensorflow-cpu PYPI version =1.15.0, =0.2.3, =0.0.5, =1.0.0, =1.8.2, =0.1.3, =0.3.0.dev221212, =0.7.0, =0.7.5 Source cves: CVE-2023-25674 Source advisory: OSV:GHSA-GF97-Q72M-7579...

a2grunnerp (>=0.1.0 <=0.1.8), abba-python (>=0.1.6 <=0.3.0) +607 more potentially affected by CVE-2023-25674 via tensorflow (>=1.0.1 <=2.11.0rc2)

tensorflow PYPI version =1.0.1, =0.1.0, =0.1.6, =1.1.2, =0.0.1, =0.3.26, =1.1.0, =0.0.1, =0.2.0, =0.3.1, =0.5.1 and more Source cves: CVE-2023-25674 Source advisory: OSV:GHSA-GF97-Q72M-7579...

GHSA-GF97-Q72M-7579 TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

Impact NPE in RandomShuffle with XLA enable python import tensorflow as tf func = tf.rawops.RandomShuffle para = 'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649 @tf.functionjitcompile=True def test: y = funcpara return y test Patches We have patched the issue in GitHub commit...

TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

Impact NPE in RandomShuffle with XLA enable python import tensorflow as tf func = tf.rawops.RandomShuffle para = 'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649 @tf.functionjitcompile=True def test: y = funcpara return y test Patches We have patched the issue in GitHub commit...

cifar-10-model (=7.4.0), gamornet-cpu (>=0.2.3 <=0.4.3) +8 more potentially affected by CVE-2023-25675 via tensorflow-cpu (>=1.15.0 <=2.11.0)

tensorflow-cpu PYPI version =1.15.0, =0.2.3, =0.0.5, =1.0.0, =1.8.2, =0.1.3, =0.3.0.dev221212, =0.7.0, =0.7.5 Source cves: CVE-2023-25675 Source advisory: OSV:GHSA-7X4V-9GXG-9HWJ...

GHSA-7X4V-9GXG-9HWJ TensorFlow has Segfault in Bincount with XLA

Impact When running with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. python import tensorflow as tf func = tf.rawops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjitcompile=True def...

TensorFlow has Segfault in Bincount with XLA

Impact When running with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. python import tensorflow as tf func = tf.rawops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjitcompile=True def...

a2grunnerp (>=0.1.0 <=0.1.8), abba-python (>=0.1.6 <=0.3.0) +607 more potentially affected by CVE-2023-25675 via tensorflow (>=1.0.1 <=2.11.0rc2)

tensorflow PYPI version =1.0.1, =0.1.0, =0.1.6, =1.1.2, =0.0.1, =0.3.26, =1.1.0, =0.0.1, =0.2.0, =0.3.1, =0.5.1 and more Source cves: CVE-2023-25675 Source advisory: OSV:GHSA-7X4V-9GXG-9HWJ...

TensorFlow has null dereference on ParallelConcat with XLA

Impact When running with XLA, tf.rawops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. python import tensorflow as tf func = tf.rawops.ParallelConcat para = 'shape': 0, 'values': 1 @tf.functionjitcompile=True def test: y =...

cifar-10-model (=7.4.0), gamornet-cpu (>=0.2.3 <=0.4.3) +8 more potentially affected by CVE-2023-25676 via tensorflow-cpu (>=1.15.0 <=2.11.0)

tensorflow-cpu PYPI version =1.15.0, =0.2.3, =0.0.5, =1.0.0, =1.8.2, =0.1.3, =0.3.0.dev221212, =0.7.0, =0.7.5 Source cves: CVE-2023-25676 Source advisory: OSV:GHSA-6WFH-89Q8-44JQ...

GHSA-6WFH-89Q8-44JQ TensorFlow has null dereference on ParallelConcat with XLA

Impact When running with XLA, tf.rawops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. python import tensorflow as tf func = tf.rawops.ParallelConcat para = 'shape': 0, 'values': 1 @tf.functionjitcompile=True def test: y =...

a2grunnerp (>=0.1.0 <=0.1.8), abba-python (>=0.1.6 <=0.3.0) +607 more potentially affected by CVE-2023-25676 via tensorflow (>=1.0.1 <=2.11.0rc2)

tensorflow PYPI version =1.0.1, =0.1.0, =0.1.6, =1.1.2, =0.0.1, =0.3.26, =1.1.0, =0.0.1, =0.2.0, =0.3.1, =0.5.1 and more Source cves: CVE-2023-25676 Source advisory: OSV:GHSA-6WFH-89Q8-44JQ...

a2grunnerp (>=0.1.0 <=0.1.8), abba-python (>=0.1.6 <=0.3.0) +607 more potentially affected by CVE-2023-25801 via tensorflow (>=1.0.1 <=2.11.0rc2)

tensorflow PYPI version =1.0.1, =0.1.0, =0.1.6, =1.1.2, =0.0.1, =0.3.26, =1.1.0, =0.0.1, =0.2.0, =0.3.1, =0.5.1 and more Source cves: CVE-2023-25801 Source advisory: OSV:GHSA-F49C-87JH-G47Q...

cifar-10-model (=7.4.0), gamornet-cpu (>=0.2.3 <=0.4.3) +8 more potentially affected by CVE-2023-25801 via tensorflow-cpu (>=1.15.0 <=2.11.0)

tensorflow-cpu PYPI version =1.15.0, =0.2.3, =0.0.5, =1.0.0, =1.8.2, =0.1.3, =0.3.0.dev221212, =0.7.0, =0.7.5 Source cves: CVE-2023-25801 Source advisory: OSV:GHSA-F49C-87JH-G47Q...

TensorFlow has double free in Fractional(Max/Avg)Pool

Impact nnops.fractionalavgpoolv2 and nnops.fractionalmaxpoolv2 require the first and fourth elements of their parameter poolingratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported. python import tensorflow as tf import os import numpy as np from...

GHSA-F49C-87JH-G47Q TensorFlow has double free in Fractional(Max/Avg)Pool

Impact nnops.fractionalavgpoolv2 and nnops.fractionalmaxpoolv2 require the first and fourth elements of their parameter poolingratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported. python import tensorflow as tf import os import numpy as np from...