classitransformers (0.0.1), pyclue (>=0.1.0, <=0.1.2) +4 more potentially affected by CVE-2022-35981 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-2022-35981 Source advisory:...

vcap (>=0.2.4.dev13, <=0.3.1) potentially affected by CVE-2022-35968 via tensorflow-gpu (1.15.4)

tensorflow-gpu PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - vcap =0.2.4.dev13, =0.3.1 Source cves: CVE-2022-35968 Source advisory: OSV:PYSEC-2026-940...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +45 more potentially affected by CVE-2022-35972 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, =0.2.1 and more Source cves: CVE-2022-35972 Source advisory: OSV:PYSEC-2026-948...

vcap (>=0.2.4.dev13, <=0.3.1) potentially affected by CVE-2022-35981 via tensorflow-gpu (1.15.4)

tensorflow-gpu PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - vcap =0.2.4.dev13, =0.3.1 Source cves: CVE-2022-35981 Source advisory: OSV:PYSEC-2026-1041...

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 `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,...

TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`

ImpactIf QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfouttype = tf.quint8input = tf.constant1, shape=3, dtype=tf.qint32inputmin = tf.constant, shape=0,...

PYSEC-2026-959 TensorFlow vulnerable to segfault in `QuantizedMatMul`

Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...

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 =...

niftynet (0.1.1rc58) potentially affected by CVE-2022-35988 via tensorflow-gpu (1.1.0)

tensorflow-gpu PYPI version 1.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - niftynet 0.1.1rc58 Source cves: CVE-2022-35988 Source advisory: OSV:PYSEC-2026-980...

strawberryfields-gpu (>=0.7.3, <=0.10.0) potentially affected by CVE-2022-35988 via tensorflow-gpu (1.6.0)

tensorflow-gpu PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - strawberryfields-gpu =0.7.3, =0.10.0 Source cves: CVE-2022-35988 Source advisory: OSV:PYSEC-2026-980...

jlpyutils (>=0.0.7, <=0.1.1) potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:PYSEC-2026-980...

nuclear-python (>=0.14.4.1, <=0.14.6.2) potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:PYSEC-2026-980...

delft (>=0.2.3, <=0.2.4), keras-textclassification (0.1.6) +10 more potentially affected by CVE-2022-35988 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-2022-35988 Source...

relion-yolo-it (0.1.3) potentially affected by CVE-2022-35988 via tensorflow-gpu (1.10.1)

tensorflow-gpu PYPI version 1.10.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - relion-yolo-it 0.1.3 Source cves: CVE-2022-35988 Source advisory: OSV:PYSEC-2026-980...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:PYSEC-2026-980...

delft (0.2.2) potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:PYSEC-2026-980...

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...

axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-35986 via tensorflow (1.15.3)

tensorflow PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.8, =0.0.1.2, =0.0.13, =1.1.0, =0.22.0, =1.6.0, =4.1.3, =0.10.0.dev1, =0.11.0 - muffnn 2.3.1 - neoepiscope 0.4.0 and more...

asc (>=0.1.0, <=0.3.1), openats (>=0.0.0.dev1, <=0.0.0.dev37) potentially affected by CVE-2022-35986 via tensorflow (1.2.1)

tensorflow PYPI version 1.2.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - asc =0.1.0, =0.0.0.dev1, =0.0.0.dev37 Source cves: CVE-2022-35986 Source advisory: OSV:PYSEC-2026-938...