autogan (0.0.5), deepctr (0.3.3) +8 more potentially affected by CVE-2022-36015 via tensorflow (1.12.3)

tensorflow PYPI version 1.12.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - autogan 0.0.5 - deepctr 0.3.3 - opveclib 1.0.0 - polyaxon-lib =0.0.3, =0.14.0a5, =0.13.0, =1.0.1, =1.9.1, =0.1.0, =0.3.1 Source cves:...

mlbench-core (>=2.4.0.dev276, <=2.4.0.dev279), openml-keras (0.0.0) +8 more potentially affected by CVE-2022-36012 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-2022-36012 Source advisory:...

cde (>=0.1.0, <=0.2.0.1), nerlogparser (0.0.1) +1 more potentially affected by CVE-2022-36014 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-2022-36014 Source advisory: OSV:PYSEC-2026-3129...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-36014 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-2022-36014 Source advisory: OSV:PYSEC-2026-3129...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-36016 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-2022-36016 Source advisory: OSV:PYSEC-2026-3184...

cde (>=0.1.0, <=0.2.0.1), nerlogparser (0.0.1) +1 more potentially affected by CVE-2022-36015 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-2022-36015 Source advisory: OSV:PYSEC-2026-3237...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-36015 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-2022-36015 Source advisory: OSV:PYSEC-2026-3237...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2022-36015 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-2022-36015 Source advisory: OSV:PYSEC-2026-3237...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-36015 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-2022-36015 Source advisory: OSV:PYSEC-2026-3237...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-36012 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-2022-36012 Source advisory: OSV:PYSEC-2026-3210...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-35987 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-2022-35987 Source advisory: OSV:PYSEC-2026-3252...

keras-pandas (>=1.1.2, <=2.0.1), learna-tools (0.1.0) potentially affected by CVE-2022-35987 via tensorflow (1.4.0)

tensorflow PYPI version 1.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - keras-pandas =1.1.2, =2.0.1 - learna-tools 0.1.0 Source cves: CVE-2022-35987 Source advisory: OSV:PYSEC-2026-3252...

keras-pandas (>=1.1.2, <=2.0.1), learna-tools (0.1.0) potentially affected by CVE-2022-36014 via tensorflow (1.4.0)

tensorflow PYPI version 1.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - keras-pandas =1.1.2, =2.0.1 - learna-tools 0.1.0 Source cves: CVE-2022-36014 Source advisory: OSV:PYSEC-2026-3129...

accuinsight (1.0.1), aimodelshare (0.1.52) +85 more potentially affected by CVE-2022-36012 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 - alibi =0.5.0, =0.1.0, =19.3.0, =1.0.1, =1.1.0, =0.0.1, =0.3.4, =0.1.0, =0.0.1, =0.0.3 and more...

diluvian (>=0.0.2, <=0.0.3), guesslang (>=0.9.0rc5, <=0.9.1) +3 more potentially affected by CVE-2022-36012 via tensorflow (1.1.0)

tensorflow PYPI version 1.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - diluvian =0.0.2, =0.9.0rc5, =0.9.1 - impyute 0.0.4 - rldqn 0.0.5 - russtress 0.1.0 Source cves: CVE-2022-36012 Source advisory:...

PYSEC-2026-3367 TensorFlow vulnerable to integer overflow in math ops

Impact When RangeSize receives values that do not fit into an int64t, it crashes. cpp auto size = std::isintegral::value ? Eigen::numext::abslimit - start + Eigen::numext::absdelta - T1 / Eigen::numext::absdelta : Eigen::numext::ceil Eigen::numext::abslimit - start / delta; // This check does not...

TensorFlow vulnerable to integer overflow in math ops

ImpactWhen RangeSize receives values that do not fit into an int64t, it crashes.cpp auto size = std::isintegral::value ? Eigen::numext::abslimit - start + Eigen::numext::absdelta - T1 / Eigen::numext::absdelta : Eigen::numext::ceil Eigen::numext::abslimit - start / delta; // This check does not...

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 +...

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 =...

TensorFlow vulnerable to `CHECK` fail in `DenseBincount`

ImpactDenseBincount 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.pythonimport tensorflow as tfbinaryoutput = Trueinput =...