vcap (>=0.2.4.dev13, <=0.3.1) potentially affected by CVE-2022-35969 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-2022-35969 Source advisory: OSV:PYSEC-2026-1028...

vcap (>=0.2.4.dev13, <=0.3.1) potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:PYSEC-2026-1011...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:PYSEC-2026-980...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35970 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-2022-35970 Source advisory: OSV:PYSEC-2026-995...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35985 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-2022-35985 Source advisory: OSV:PYSEC-2026-975...

classitransformers (0.0.1), pyclue (>=0.1.0, <=0.1.2) +4 more potentially affected by CVE-2022-35979 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-2022-35979 Source advisory:...

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:...

classitransformers (0.0.1), pyclue (>=0.1.0, <=0.1.2) +4 more potentially affected by CVE-2022-35974 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-2022-35974 Source advisory:...

classitransformers (0.0.1), pyclue (>=0.1.0, <=0.1.2) +4 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory:...

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-2022-35979 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-2022-35979 Source advisory: OSV:PYSEC-2026-1038...

nuclear-python (>=0.14.4.1, <=0.14.6.2) potentially affected by CVE-2022-35968 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-2022-35968 Source advisory: OSV:PYSEC-2026-940...

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...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2022-35986 via tensorflow (1.6.0)

tensorflow PYPI version 1.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - optimuspyspark =2.0.4, =0.1.0, =0.12.0, =0.7.2, =0.10.0 Source cves: CVE-2022-35986 Source advisory: OSV:PYSEC-2026-938...

TensorFlow vulnerable to segfault in `QuantizedAvgPool`

ImpactIf QuantizedAvgPool 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.pythonimport tensorflow as tfksize = 1, 2, 2, 1strides = 1, 2, 2, 1padding = "SAME"input = tf.constant1, shape=1,4,4,2,...

TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation

ImpactIn core/kernels/listkernels.cc's TensorListReserve, numelements is assumed to be a tensor of size 1. When a numelements of more than 1 element is provided, then tf.rawops.TensorListReserve fails the CHECKEQ in CheckIsAlignedAndSingleElement.pythonimport tensorflow as...

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

ImpactWhen tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=1,1, dtype=tf.float32,...

TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`

ImpactThe UnbatchGradOp function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program.pythonimport numpy as npimport tensorflow as tf id is not scalartf.rawops.UnbatchGradoriginalinput= tf.constant1,batchindex=tf.constant0,0,0 , ,...

PYSEC-2026-990 TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`

Impact When CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack. python import tensorflow as tf arg0=1 arg1=1 arg2=1 arg3=1 arg4=3, 3,3 arg5='auto' arg6=0 arg7='' tf.rawops.CollectiveGatherinput=arg0, groupsize=arg1,...

PYSEC-2026-1036 TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation

Impact In core/kernels/listkernels.cc's TensorListReserve, numelements is assumed to be a tensor of size 1. When a numelements of more than 1 element is provided, then tf.rawops.TensorListReserve fails the CHECKEQ in CheckIsAlignedAndSingleElement. python import tensorflow as tf...