accuinsight (1.0.1), aimodelshare (0.1.52) +84 more potentially affected by CVE-2022-35981 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...

azureml-contrib-brainwave (0.1.68.2), azureml-train-automl (>=0.1.68, <=0.1.80) +5 more potentially affected by CVE-2022-35973 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-2022-35973...

autogan (0.0.5), deepctr (0.3.3) +8 more potentially affected by CVE-2022-35973 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:...

chicksexer (0.2.2), gender-detection (0.2.2) +2 more potentially affected by CVE-2022-35973 via tensorflow (1.0.1)

tensorflow PYPI version 1.0.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - chicksexer 0.2.2 - gender-detection 0.2.2 - moodleinspire 0.0.10 - moodlemlbackend =0.0.2, =1.0.0 Source cves: CVE-2022-35973 Source advisor...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2022-35981 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-2022-35981 Source advisory: OSV:PYSEC-2026-3250...

es-distributed (0.1.0.dev0), strawberryfields (>=0.7.0, <=0.7.1) +1 more potentially affected by CVE-2022-35981 via tensorflow (1.3.0)

tensorflow PYPI version 1.3.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - es-distributed 0.1.0.dev0 - strawberryfields =0.7.0, =0.7.1 - utensor-cgen 0.0.4 Source cves: CVE-2022-35981 Source advisory:...

diluvian (>=0.0.2, <=0.0.3), guesslang (>=0.9.0rc5, <=0.9.1) +3 more potentially affected by CVE-2022-35973 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-2022-35973 Source advisory:...

keras-pandas (>=1.1.2, <=2.0.1), learna-tools (0.1.0) potentially affected by CVE-2022-35979 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-2022-35979 Source advisory: OSV:PYSEC-2026-3245...

PYSEC-2026-3372 TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`

Impact If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.quint8 features = tf.constant28, shape=4,2, dtype=tf.quint8 minfeatures...

PYSEC-2026-3245 TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`

Impact If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.quint8 features = tf.constant28, shape=4,2, dtype=tf.quint8 minfeatures...

TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`

ImpactFractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack:pythonimport tensorflow as tfoverlapping = Trueoriginput = tf.constant.453409232,...

diluvian (>=0.0.2, <=0.0.3), guesslang (>=0.9.0rc5, <=0.9.1) +3 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory:...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-35973 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-2022-35973 Source advisory: OSV:PYSEC-2026-3119...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:PYSEC-2026-3093...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-35973 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-2022-35973 Source advisory: OSV:PYSEC-2026-3119...

cde (>=0.1.0, <=0.2.0.1), nerlogparser (0.0.1) +1 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:PYSEC-2026-3093...

axelerate (>=0.5.2, <=0.5.5), bert-experimental (1.0.0) +24 more potentially affected by CVE-2022-35974 via tensorflow (1.15.2)

tensorflow PYPI version 1.15.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.2, =2.0.1, =1.0.1, =0.1.0.dev1, =1.5.0.dev20210429, =1.5.0.dev20210512 - fedlearner-manylinux 1.5.0.dev20210429 -...

animalai-train (>=0.6.0, <=1.0.3), coach-cli (0.91.0) +3 more potentially affected by CVE-2022-35973 via tensorflow (1.12.2)

tensorflow PYPI version 1.12.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - animalai-train =0.6.0, =0.10.0, =0.3.2, =0.4.3 Source cves: CVE-2022-35973 Source advisory: OSV:PYSEC-2026-3119...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-35974 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-2022-35974 Source advisory: OSV:PYSEC-2026-3246...

alfabet (0.0.5), alibi (>=0.3.1, <=0.5.1) +67 more potentially affected by CVE-2022-35981 via tensorflow (1.15.5)

tensorflow PYPI version 1.15.5 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - alfabet 0.0.5 - alibi =0.3.1, =0.1.0, =1.0.2, =0.1.0a3, =0.1.1, =0.0.1, =0.1.14, =0.2.0, =0.0.1, =0.1.0, =0.7.0 and more Source cves:...