azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-36011 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-2022-36011 Source advisory: OSV:PYSEC-2026-3180...

cellunet (>=0.1.0, <=0.2.2), color2vec (1.0.0) +12 more potentially affected by CVE-2022-36017 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-2022-36017 Source...

cellunet (>=0.1.0, <=0.2.2), color2vec (1.0.0) +12 more potentially affected by CVE-2022-36013 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-2022-36013 Source...

cellunet (>=0.1.0, <=0.2.2), color2vec (1.0.0) +12 more potentially affected by CVE-2022-36002 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-2022-36002 Source...

azureml-contrib-brainwave (0.1.68.2), azureml-train-automl (>=0.1.68, <=0.1.80) +5 more potentially affected by CVE-2022-36013 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-2022-36013...

abba-python (>=0.1.6, <=0.3.0), adversal-embedding (>=0.0.1, <=0.0.7) +52 more potentially affected by CVE-2022-36017 via tensorflow (1.15.0)

tensorflow PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - abba-python =0.1.6, =0.0.1, =0.2.6, =2023.1.0, =0.2.11, =0.0.4, =0.10.0, =0.10.1 - deepaclive 0.1.0 and more Source cves: CVE-2022-36017...

acuity (6.18.0), acuitylite (>=6.6.0, <=6.21.0) +60 more potentially affected by CVE-2022-36011 via tensorflow (2.8.0)

tensorflow PYPI version 2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - acuity 6.18.0 - acuitylite =6.6.0, =1.2.8, =1.0.43, =0.2.2, =0.0.1, =0.0.2, =0.2.8, =0.14.0, =0.1.3, =0.0.9, =0.2.27, =0.2.41 -...

acuity (6.18.0), acuitylite (>=6.6.0, <=6.21.0) +60 more potentially affected by CVE-2022-36017 via tensorflow (2.8.0)

tensorflow PYPI version 2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - acuity 6.18.0 - acuitylite =6.6.0, =1.2.8, =1.0.43, =0.2.2, =0.0.1, =0.0.2, =0.2.8, =0.14.0, =0.1.3, =0.0.9, =0.2.27, =0.2.41 -...

branchedgp (1.0.0), fate-client (>=0.1.0, <=1.5.3) +9 more potentially affected by CVE-2022-36013 via tensorflow (1.15.4)

tensorflow PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - branchedgp 1.0.0 - fate-client =0.1.0, =0.2.2, =0.2.0, =0.2.4, =0.0.5.dev0, =1.5.0, =0.1.6, =0.2.4 Source cves: CVE-2022-36013 Source...

branchedgp (1.0.0), fate-client (>=0.1.0, <=1.5.3) +9 more potentially affected by CVE-2022-36011 via tensorflow (1.15.4)

tensorflow PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - branchedgp 1.0.0 - fate-client =0.1.0, =0.2.2, =0.2.0, =0.2.4, =0.0.5.dev0, =1.5.0, =0.1.6, =0.2.4 Source cves: CVE-2022-36011 Source...

mlbench-core (>=2.4.0.dev276, <=2.4.0.dev279), openml-keras (0.0.0) +8 more potentially affected by CVE-2022-36002 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-2022-36002 Source advisory:...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-36013 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-2022-36013 Source advisory: OSV:PYSEC-2026-3132...

autogan (0.0.5), deepctr (0.3.3) +8 more potentially affected by CVE-2022-36002 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:...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-36002 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-2022-36002 Source advisory: OSV:PYSEC-2026-3216...

adpred (>=1.1.2, <=1.2.7), aix360 (>=0.2.0, <=0.2.1) +73 more potentially affected by CVE-2022-36002 via tensorflow (1.14.0)

tensorflow PYPI version 1.14.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - adpred =1.1.2, =0.2.0, =1.0.4, =0.1.1, =1.0.2, =0.0.4, =0.1.0, =0.92.0, =0.12.0, =0.22.0 and more Source cves: CVE-2022-36002 Source...

adpred (>=1.1.2, <=1.2.7), aix360 (>=0.2.0, <=0.2.1) +73 more potentially affected by CVE-2022-36013 via tensorflow (1.14.0)

tensorflow PYPI version 1.14.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - adpred =1.1.2, =0.2.0, =1.0.4, =0.1.1, =1.0.2, =0.0.4, =0.1.0, =0.92.0, =0.12.0, =0.22.0 and more Source cves: CVE-2022-36013 Source...

abba-python (>=0.1.6, <=0.3.0), adversal-embedding (>=0.0.1, <=0.0.7) +52 more potentially affected by CVE-2022-36013 via tensorflow (1.15.0)

tensorflow PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - abba-python =0.1.6, =0.0.1, =0.2.6, =2023.1.0, =0.2.11, =0.0.4, =0.10.0, =0.10.1 - deepaclive 0.1.0 and more Source cves: CVE-2022-36013...

abba-python (>=0.1.6, <=0.3.0), adversal-embedding (>=0.0.1, <=0.0.7) +52 more potentially affected by CVE-2022-36011 via tensorflow (1.15.0)

tensorflow PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - abba-python =0.1.6, =0.0.1, =0.2.6, =2023.1.0, =0.2.11, =0.0.4, =0.10.0, =0.10.1 - deepaclive 0.1.0 and more Source cves: CVE-2022-36011...

c4v-py (>=0.1.0.dev1, <=0.1.0.dev202107081840), lsmmdma (>=0.0.4, <=0.1.7) +6 more potentially affected by CVE-2022-36013 via tensorflow-cpu (>=2.1.0, <=2.7.0)

tensorflow-cpu PYPI version =2.1.0, =0.1.0.dev1, =0.0.4, =0.5.1, =0.102.0.dev0, =1.5.2, =1.7.4 - tpu-tf2 1.0.0 Source cves: CVE-2022-36013 Source advisory: OSV:PYSEC-2026-3295...

PYSEC-2026-3325 TensorFlow vulnerable to null dereference on MLIR on empty function attributes

Impact When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference. cpp // Import the function attributes with a tf. prefix to match the current // infrastructure expectations. for const auto& namedAttr : func.attr const std::string& name =...