accuinsight (1.0.1), aimodelshare (0.1.52) +83 more potentially affected by CVE-2022-36003 via tensorflow (1.13.1)

tensorflow PYPI version 1.13.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - accuinsight 1.0.1 - aimodelshare 0.1.52 - amber-automl =0.1.0, =19.3.0, =1.0.1, =1.1.0, =0.0.1, =0.3.4, =0.1.0, =0.0.1, =0.0.0.45.8, =1.1.1...

mlbench-core (>=2.4.0.dev276, <=2.4.0.dev279), openml-keras (0.0.0) +8 more potentially affected by CVE-2022-36003 via tensorflow (1.13.2)

tensorflow PYPI version 1.13.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - mlbench-core =2.4.0.dev276, =0.1.0, =0.4.0, =0.14.0, =0.1.4, =0.3.0, =0.3.4 - rasa-print 0.3.1 Source cves: CVE-2022-36003 Source advisory:...

cde (>=0.1.0, <=0.2.0.1), nerlogparser (0.0.1) +1 more potentially affected by CVE-2022-36003 via tensorflow (1.4.1)

tensorflow PYPI version 1.4.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - cde =0.1.0, =0.1.7, =0.3.2 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-3162...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-36003 via tensorflow (1.5.0)

tensorflow PYPI version 1.5.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - hyperparameter-hunter =0.0.1, =0.6.0.2, =1.3.6, =1.3.7 - talos 0.6.4 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-3162...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-36003 via tensorflow (1.5.1)

tensorflow PYPI version 1.5.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - program-synthesis 0.1.2 - qfragment 0.0.16 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-3162...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2022-36003 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-2022-36003 Source advisory: OSV:PYSEC-2026-3162...

easyfacenet (>=1.0.4, <=1.0.5), keras-pandas (>=1.1.0, <=1.1.1) +3 more potentially affected by CVE-2022-36003 via tensorflow (1.7.0)

tensorflow PYPI version 1.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - easyfacenet =1.0.4, =1.1.0, =0.1.1, =0.1.2, =0.0.0, =0.0.1 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-3162...

animalai-train (0.4.0), mlagents (>=0.4.0, <=0.10.0.dev0) +2 more potentially affected by CVE-2022-36003 via tensorflow (1.7.1)

tensorflow PYPI version 1.7.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - animalai-train 0.4.0 - mlagents =0.4.0, =0.10.0.dev0 - pytransdec 0.2.1 - unityagents 0.4.0 Source cves: CVE-2022-36003 Source advisory:...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-36003 via tensorflow (1.9.0)

tensorflow PYPI version 1.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - fancy-nlp =0.0.1, =1.0.0, =0.11.0, =0.5.4, =0.5.7 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-3162...

cellunet (>=0.1.0, <=0.2.2), color2vec (1.0.0) +12 more potentially affected by CVE-2022-36003 via tensorflow (1.8.0)

tensorflow PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - cellunet =0.1.0, =0.0.5.1, =0.1.0, =0.1.1.1, =1.1.0, =0.9.0a7, =0.1.0, =0.11.0, =0.4.1, =0.5.2, =0.5.5 Source cves: CVE-2022-36003 Source...

cf-nlp (>=0.1.0, <=0.1.1), dlgo (0.2.0) +2 more potentially affected by CVE-2022-36003 via tensorflow (1.10.1)

tensorflow PYPI version 1.10.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - cf-nlp =0.1.0, =0.6.0, =0.6.1 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-3162...

azureml-contrib-brainwave (0.1.68.2), azureml-train-automl (>=0.1.68, <=0.1.80) +5 more potentially affected by CVE-2022-36003 via tensorflow (1.10.0)

tensorflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - azureml-contrib-brainwave 0.1.68.2 - azureml-train-automl =0.1.68, =2.0.3, =0.11.9, =0.13.0a5 - scaden 0.9.0 Source cves: CVE-2022-36003...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-36003 via tensorflow (1.11.0)

tensorflow PYPI version 1.11.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - azureml-automl-core =1.0.23, =2.0.2, =0.3.4, =0.6.2, =0.6.5 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-3162...

PYSEC-2026-3162 TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

Impact When RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, 4, 4, 4, dtype=tf.float32, maxval=None...

accuinsight (1.0.1), aimodelshare (0.1.52) +83 more potentially affected by CVE-2022-35995 via tensorflow (1.13.1)

tensorflow PYPI version 1.13.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - accuinsight 1.0.1 - aimodelshare 0.1.52 - amber-automl =0.1.0, =19.3.0, =1.0.1, =1.1.0, =0.0.1, =0.3.4, =0.1.0, =0.0.1, =0.0.0.45.8, =1.1.1...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-36014 via tensorflow (1.5.0)

tensorflow PYPI version 1.5.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - hyperparameter-hunter =0.0.1, =0.6.0.2, =1.3.6, =1.3.7 - talos 0.6.4 Source cves: CVE-2022-36014 Source advisory: OSV:PYSEC-2026-3129...

TensorFlow vulnerable to assertion fail on MLIR empty edge names

ImpactWhen mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it crashes.cpp// We pre-allocate the array of operands and populate it using the// outputnametoposition and controloutputtoposition populated// previously.SmallVector retvalsfunc.retsize +...

PYSEC-2026-3377 TensorFlow vulnerable to `CHECK` fail in `DenseBincount`

Impact DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True input =...

animalai-train (0.4.0), mlagents (>=0.4.0, <=0.10.0.dev0) +2 more potentially affected by CVE-2022-36016 via tensorflow (1.7.1)

tensorflow PYPI version 1.7.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - animalai-train 0.4.0 - mlagents =0.4.0, =0.10.0.dev0 - pytransdec 0.2.1 - unityagents 0.4.0 Source cves: CVE-2022-36016 Source advisory:...

TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`

ImpactWhen mlir::tfg::TFOp::nameAttr receives null type list attributes, it crashes.cppStatusOr GraphDefImporter::ArgNumTypeconst NamedAttrList , const OpDef::ArgDef def, SmallVectorImpl // Check whether a type list attribute is specified. if !argdef.typelistattr.empty if auto v =...