fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:PYSEC-2026-3205...

axelerate (>=0.5.2, <=0.5.5), bert-experimental (1.0.0) +24 more potentially affected by CVE-2022-35984 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 -...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-35985 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-2022-35985 Source advisory: OSV:PYSEC-2026-3147...

es-distributed (0.1.0.dev0), strawberryfields (>=0.7.0, <=0.7.1) +1 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory:...

mlbench-core (>=2.4.0.dev276, <=2.4.0.dev279), openml-keras (0.0.0) +8 more potentially affected by CVE-2022-35985 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-2022-35985 Source advisory:...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:PYSEC-2026-3205...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:PYSEC-2026-3156...

accuinsight (1.0.1), aimodelshare (0.1.52) +84 more potentially affected by CVE-2022-35989 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...

accuinsight (1.0.1), aimodelshare (0.1.52) +84 more potentially affected by CVE-2022-35984 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...

axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-35984 via tensorflow (1.15.3)

tensorflow PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.8, =0.0.1.2, =0.0.13, =1.1.0, =0.22.0, =1.6.0, =4.1.3, =0.10.0.dev1, =0.11.0 - muffnn 2.3.1 - neoepiscope 0.4.0 and more...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-35985 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-2022-35985 Source advisory: OSV:PYSEC-2026-3147...

axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-35988 via tensorflow (1.15.3)

tensorflow PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.8, =0.0.1.2, =0.0.13, =1.1.0, =0.22.0, =1.6.0, =4.1.3, =0.10.0.dev1, =0.11.0 - muffnn 2.3.1 - neoepiscope 0.4.0 and more...

sklearn-plus (>=0.0.3, <=0.0.4) potentially affected by CVE-2022-35985 via tensorflow (1.2.0)

tensorflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - sklearn-plus =0.0.3, =0.0.4 Source cves: CVE-2022-35985 Source advisory: OSV:PYSEC-2026-3147...

PYSEC-2026-3205 TensorFlow vulnerable to `CHECK` fail in `MaxPool`

Impact When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np input = np.ones1, 1, 1, 1 ksize = 1, 1, 2, ...

PYSEC-2026-3213 TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`

Impact If Save or SaveSlices is run over tensors of an unsupported dtype, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf filename = tf.constant"" tensornames = tf.constant"" Save data = tf.casttf.random.uniformshape=1,...

TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

ImpactIf LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfdepthradius = 1bias = 1.59018219alpha = 0.117728651beta = 0.404427052inputgrads = tf.random.uniformshape=4, 4, 4, 4...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-35985 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-2022-35985 Source advisory: OSV:PYSEC-2026-3147...

sklearn-plus (>=0.0.3, <=0.0.4) potentially affected by CVE-2022-35989 via tensorflow (1.2.0)

tensorflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - sklearn-plus =0.0.3, =0.0.4 Source cves: CVE-2022-35989 Source advisory: OSV:PYSEC-2026-3205...

mlbench-core (>=2.4.0.dev276, <=2.4.0.dev279), openml-keras (0.0.0) +8 more potentially affected by CVE-2022-35984 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-2022-35984 Source advisory:...

abba-python (>=0.1.6, <=0.3.0), adversal-embedding (>=0.0.1, <=0.0.7) +52 more potentially affected by CVE-2022-35983 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-2022-35983...