arekit (>=0.21.0, <=0.22.1), arenets (>=0.23.0, <=0.23.1) +19 more potentially affected by CVE-2022-35982 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:...

arekit (>=0.21.0, <=0.22.1), arenets (>=0.23.0, <=0.23.1) +19 more potentially affected by CVE-2022-35969 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:...

arekit (>=0.21.0, <=0.22.1), arenets (>=0.23.0, <=0.23.1) +19 more potentially affected by CVE-2022-35972 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:...

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...

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"...

arekit (>=0.21.0, <=0.22.1), arenets (>=0.23.0, <=0.23.1) +19 more potentially affected by CVE-2022-35974 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:...

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...

nuclear-python (>=0.14.4.1, <=0.14.6.2) potentially affected by CVE-2022-35974 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-2022-35974 Source advisory: OSV:PYSEC-2026-1039...

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...

PYSEC-2026-947 TensorFlow vulnerable to segfault in `SparseBincount`

Impact If 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. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...

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...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:PYSEC-2026-947...

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...

audeep (>=0.9.2, <=0.9.6a1), cryocare (>=0.0.1, <=0.0.2) +17 more potentially affected by CVE-2022-35974 via tensorflow-gpu (1.15.5)

tensorflow-gpu PYPI version 1.15.5 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - audeep =0.9.2, =0.0.1, =0.6.7a1, =0.2.5, =0.1.0, =0.0.1, =0.1.0, =0.1.0, =1.3.0, =0.0.4, =0.1.3, =0.4.0, =0.0.6, =0.0.8 and more...

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...