delft (>=0.2.3, <=0.2.4), keras-textclassification (0.1.6) +10 more potentially affected by CVE-2022-35969 via tensorflow-gpu (1.12.0)

tensorflow-gpu PYPI version 1.12.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - delft =0.2.3, =0.0.1, =0.0.1, =0.0.2 - monk-keras-cuda92 0.0.1 - monk-keras-cuda92-test 0.0.1 Source cves: CVE-2022-35969 Source...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35971 via tensorflow-gpu (1.15.3)

tensorflow-gpu PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - verse16 =0.1.1, =0.1.2 Source cves: CVE-2022-35971 Source advisory: OSV:PYSEC-2026-977...

nuclear-python (>=0.14.4.1, <=0.14.6.2) potentially affected by CVE-2022-35969 via tensorflow-gpu (1.13.2)

tensorflow-gpu PYPI version 1.13.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - nuclear-python =0.14.4.1, =0.14.6.2 Source cves: CVE-2022-35969 Source advisory: OSV:PYSEC-2026-1028...

nuclear-python (>=0.14.4.1, <=0.14.6.2) potentially affected by CVE-2022-35982 via tensorflow-gpu (1.13.2)

tensorflow-gpu PYPI version 1.13.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - nuclear-python =0.14.4.1, =0.14.6.2 Source cves: CVE-2022-35982 Source advisory: OSV:PYSEC-2026-947...

PYSEC-2026-980 TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

Impact When tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf a = tf.constant, shape=0, 1, 1, dtype=tf.float32 tf.linalg.matrixranka=a Patches We have patched the issue in GitHub...

delft (>=0.2.3, <=0.2.4), keras-textclassification (0.1.6) +10 more potentially affected by CVE-2022-35982 via tensorflow-gpu (1.12.0)

tensorflow-gpu PYPI version 1.12.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - delft =0.2.3, =0.0.1, =0.0.1, =0.0.2 - monk-keras-cuda92 0.0.1 - monk-keras-cuda92-test 0.0.1 Source cves: CVE-2022-35982 Source...

delft (0.2.2) potentially affected by CVE-2022-35982 via tensorflow-gpu (1.9.0)

tensorflow-gpu PYPI version 1.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - delft 0.2.2 Source cves: CVE-2022-35982 Source advisory: OSV:PYSEC-2026-947...

TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`

ImpactIf QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfoutputrangegiven = Falsegivenymin = 0givenymax = 0varianceepsilon = 1e-05minseparation = 0.001x =...

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 =...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35969 via tensorflow-gpu (1.15.3)

tensorflow-gpu PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - verse16 =0.1.1, =0.1.2 Source cves: CVE-2022-35969 Source advisory: OSV:PYSEC-2026-1028...

TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

ImpactIf LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfdepthradius = 1bias = 1.59018219alpha = 0.117728651beta = 0.404427052inputgrads = tf.random.uniformshape=4, 4, 4, 4...

TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

ImpactWhen tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfa = tf.constant, shape=0, 1, 1, dtype=tf.float32tf.linalg.matrixranka=a PatchesWe have patched the issue in GitHub commi...

PYSEC-2026-1041 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,...

PYSEC-2026-940 TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`

Impact The 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: python import tensorflow as tf ksize = 1, 2, 2, 1 strides = 1, 2, 2, 1 padding = "VALID" dataformat = "NHWC"...

TensorFlow vulnerable to segfault in `SparseBincount`

ImpactIf SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbinaryoutput = Trueindices = tf.random.uniformshape=, minval=-10000,...

PYSEC-2026-975 TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

Impact If LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf depthradius = 1 bias = 1.59018219 alpha = 0.117728651 beta = 0.404427052 inputgrads = tf.random.uniformshape=4,...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +44 more potentially affected by CVE-2022-35968 via tensorflow-gpu (>=2.0.0, <=2.7.0)

tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.0, =0.2.1 and more Source cves: CVE-2022-35968 Source advisory: OSV:PYSEC-2026-940...

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

ImpactIf FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfnumbits = 8narrowrange = Falseinputs = tf.constant0, shape=2,3, dtype=tf.float32min = tf.constant0,...

classitransformers (0.0.1), pyclue (>=0.1.0, <=0.1.2) +4 more potentially affected by CVE-2022-35968 via tensorflow-gpu (1.15.2)

tensorflow-gpu PYPI version 1.15.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - classitransformers 0.0.1 - pyclue =0.1.0, =0.1.1, =0.1.2, =0.1.2, =0.1.3 Source cves: CVE-2022-35968 Source advisory:...

dragonn (0.4.2), dream-on-gym (0.0.1) +5 more potentially affected by CVE-2022-35982 via tensorflow-gpu (1.15.0)

tensorflow-gpu PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - dragonn 0.4.2 - dream-on-gym 0.0.1 - ml4a =0.1.0, =0.0.3, =0.3.0, =0.9.0, =0.0.5, =0.0.88 Source cves: CVE-2022-35982 Source...