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...

dragonn (0.4.2), dream-on-gym (0.0.1) +5 more potentially affected by CVE-2022-35971 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-2022-35971 Source...

arekit (>=0.21.0, <=0.22.1), arenets (>=0.23.0, <=0.23.1) +19 more potentially affected by CVE-2022-35968 via tensorflow-gpu (1.14.0)

tensorflow-gpu PYPI version 1.14.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - arekit =0.21.0, =0.23.0, =1.0.0, =0.0.1, =0.1.6, =0.1.0, =0.0.6, =1.0.1, =1.0.2 - ocrd-anybaseocr 0.0.1 and more Source cves:...

classitransformers (0.0.1), pyclue (>=0.1.0, <=0.1.2) +4 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory:...

delft (>=0.2.3, <=0.2.4), keras-textclassification (0.1.6) +10 more potentially affected by CVE-2022-35972 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-2022-35972 Source...

causalegm (>=0.2.1, <=0.2.5), chrombpnet (>=0.1.0, <=0.1.2) +3 more potentially affected by CVE-2022-35972 via tensorflow-gpu (2.8.0)

tensorflow-gpu PYPI version 2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch 0.0.2 Source cves: CVE-2022-35972 Source advisory: OSV:PYSEC-2026-948...

nuclear-python (>=0.14.4.1, <=0.14.6.2) potentially affected by CVE-2022-35971 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-2022-35971 Source advisory: OSV:PYSEC-2026-977...

PYSEC-2026-995 TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`

Impact If 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. python import tensorflow as tf outputrangegiven = False givenymin = 0 givenymax = 0 varianceepsilon = 1e-05 minseparation = 0.001 x =...

PYSEC-2026-938 TensorFlow vulnerable to segfault in `RaggedBincount`

Impact If RaggedBincount is given an empty input tensor splits, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True splits = tf.random.uniformshape=0, minval=-10000, maxval=10000, dtype=tf.int64, seed=-7430 values =...

causalegm (>=0.2.1, <=0.2.5), chrombpnet (>=0.1.0, <=0.1.2) +3 more potentially affected by CVE-2022-35982 via tensorflow-gpu (2.8.0)

tensorflow-gpu PYPI version 2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch 0.0.2 Source cves: CVE-2022-35982 Source advisory: OSV:PYSEC-2026-947...

TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`

ImpactIf QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfouttype = tf.quint8features = tf.constant28, shape=4,2, dtype=tf.quint8minfeatures =...

PYSEC-2026-1037 TensorFlow vulnerable to segfault in `QuantizedAdd`

Impact If QuantizedAdd is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 x = tf.constant140, shape=1, dtype=tf.quint8 y = tf.constant26, shape=10,...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-35974 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-35974 Source advisory: OSV:PYSEC-2026-1039...

bert-multitask-learning (>=0.1.0, <=0.2.9), miscnn (>=0.6.0, <=0.28.0) potentially affected by CVE-2022-35968 via tensorflow-gpu (1.13.1)

tensorflow-gpu PYPI version 1.13.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - bert-multitask-learning =0.1.0, =0.6.0, =0.28.0 Source cves: CVE-2022-35968 Source advisory: OSV:PYSEC-2026-940...

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,...

jlpyutils (>=0.0.7, <=0.1.1) potentially affected by CVE-2022-35968 via tensorflow-gpu (1.12.2)

tensorflow-gpu PYPI version 1.12.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - jlpyutils =0.0.7, =0.1.1 Source cves: CVE-2022-35968 Source advisory: OSV:PYSEC-2026-940...

nuclear-python (>=0.14.4.1, <=0.14.6.2) potentially affected by CVE-2022-35972 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-2022-35972 Source advisory: OSV:PYSEC-2026-948...

dragonn (0.4.2), dream-on-gym (0.0.1) +5 more potentially affected by CVE-2022-35968 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-2022-35968 Source...

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,...

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...