accuinsight (1.0.1), aimodelshare (0.1.52) +84 more potentially affected by CVE-2022-35970 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-2022-35969 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...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-35970 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-2022-35970 Source advisory: OSV:PYSEC-2026-3183...

TensorFlow vulnerable to segfault in `QuantizedBiasAdd`

ImpactIf QuantizedBiasAdd is given mininput, maxinput, minbias, maxbias tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfouttype = tf.qint32input = tf.constant85,170,255, shape=3, dtype=tf.quint8bias =...

es-distributed (0.1.0.dev0), strawberryfields (>=0.7.0, <=0.7.1) +1 more potentially affected by CVE-2022-35972 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-2022-35972 Source advisory:...

accuinsight (1.0.1), aimodelshare (0.1.52) +84 more potentially affected by CVE-2022-35971 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...

keras-pandas (>=1.1.2, <=2.0.1), learna-tools (0.1.0) potentially affected by CVE-2022-35972 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-2022-35972 Source advisory: OSV:PYSEC-2026-3101...

animalai-train (0.4.0), mlagents (>=0.4.0, <=0.10.0.dev0) +2 more potentially affected by CVE-2022-35969 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-2022-35969 Source advisory:...

PYSEC-2026-3305 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

Impact If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf numbits = 8 narrowrange = False inputs = tf.constant0, shape=2,3, dtype=tf.float32 min = tf.constant0,...

c4v-py (>=0.1.0.dev1, <=0.1.0.dev202107081840), lsmmdma (>=0.0.4, <=0.1.7) +6 more potentially affected by CVE-2022-35969 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-2022-35969 Source advisory: OSV:PYSEC-2026-3360...

gamornet-cpu (>=0.2.3, <=0.4.3), tchatbot (0.1.0) +1 more potentially affected by CVE-2022-35969 via tensorflow-cpu (1.15.0)

tensorflow-cpu PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - gamornet-cpu =0.2.3, =0.7.0, =0.7.5 Source cves: CVE-2022-35969 Source advisory: OSV:PYSEC-2026-3360...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory: OSV:PYSEC-2026-3150...

azureml-contrib-brainwave (0.1.68.2), azureml-train-automl (>=0.1.68, <=0.1.80) +5 more potentially affected by CVE-2022-35970 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-2022-35970...

es-distributed (0.1.0.dev0), strawberryfields (>=0.7.0, <=0.7.1) +1 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory:...

axelerate (>=0.5.2, <=0.5.5), bert-experimental (1.0.0) +24 more potentially affected by CVE-2022-35972 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 -...

axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-35972 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...

diluvian (>=0.0.2, <=0.0.3), guesslang (>=0.9.0rc5, <=0.9.1) +3 more potentially affected by CVE-2022-35972 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-2022-35972 Source advisory:...

animalai-train (>=0.6.0, <=1.0.3), coach-cli (0.91.0) +3 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory: OSV:PYSEC-2026-3150...

animalai-train (0.4.0), mlagents (>=0.4.0, <=0.10.0.dev0) +2 more potentially affected by CVE-2022-35970 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-2022-35970 Source advisory:...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-35969 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-2022-35969 Source advisory: OSV:PYSEC-2026-3227...