fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory: OSV:PYSEC-2026-3150...

optimuspyspark (>=2.0.4, <=2.0.6), pytorch-es (>=0.1.0, <=0.1.1) +2 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory: OSV:PYSEC-2026-3150...

sklearn-plus (>=0.0.3, <=0.0.4) potentially affected by CVE-2022-35972 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-2022-35972 Source advisory: OSV:PYSEC-2026-3101...

asc (>=0.1.0, <=0.3.1), openats (>=0.0.0.dev1, <=0.0.0.dev37) potentially affected by CVE-2022-35969 via tensorflow (1.2.1)

tensorflow PYPI version 1.2.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - asc =0.1.0, =0.0.0.dev1, =0.0.0.dev37 Source cves: CVE-2022-35969 Source advisory: OSV:PYSEC-2026-3227...

sklearn-plus (>=0.0.3, <=0.0.4) potentially affected by CVE-2022-35971 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-2022-35971 Source advisory: OSV:PYSEC-2026-3150...

c4v-py (>=0.1.0.dev1, <=0.1.0.dev202107081840), lsmmdma (>=0.0.4, <=0.1.7) +6 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory: OSV:PYSEC-2026-3305...

PYSEC-2026-3272 TensorFlow vulnerable to segfault in `QuantizedBiasAdd`

Impact If 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. python import tensorflow as tf outtype = tf.qint32 input = tf.constant85,170,255, shape=3, dtype=tf.quint8 bias =...

aadhaar-detection (0.5.0), abmarl (>=0.1.1, <=0.1.3) +552 more potentially affected by CVE-2022-35970 via tensorflow (>=2.0.0, <=2.7.1)

tensorflow PYPI version =2.0.0, =0.1.1, =1.0.47, =1.0.0, =1.2.0, =1.1.5, =0.0.1, =2.1.0, =0.1.11, =0.1.11, =0.1.20 - aisaratuners 1.4.2 and more Source cves: CVE-2022-35970 Source advisory: OSV:PYSEC-2026-3183...

acuity (6.18.0), acuitylite (>=6.6.0, <=6.21.0) +60 more potentially affected by CVE-2022-35970 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 -...

aliby (>=0.1.18, <=0.1.55), aliby-baby (>=0.1.11, <=0.1.17) +36 more potentially affected by CVE-2022-35970 via tensorflow (2.9.0)

tensorflow PYPI version 2.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - aliby =0.1.18, =0.1.11, =0.30.0, =0.0.13, =0.1.0, =0.0.0, =1.3.0, =0.3.0, =1.2.0, =0.0.6, =0.0.9 - gcvit-tensorflow 1.2.1 - genericsnn 1.0.1...

cde (>=0.1.0, <=0.2.0.1), nerlogparser (0.0.1) +1 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory: OSV:PYSEC-2026-3150...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-35972 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-2022-35972 Source advisory: OSV:PYSEC-2026-3101...

mlbench-core (>=2.4.0.dev276, <=2.4.0.dev279), openml-keras (0.0.0) +8 more potentially affected by CVE-2022-35971 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-2022-35971 Source advisory:...

easyfacenet (>=1.0.4, <=1.0.5), keras-pandas (>=1.1.0, <=1.1.1) +3 more potentially affected by CVE-2022-35971 via tensorflow (1.7.0)

tensorflow PYPI version 1.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - easyfacenet =1.0.4, =1.1.0, =0.1.1, =0.1.2, =0.0.0, =0.0.1 Source cves: CVE-2022-35971 Source advisory: OSV:PYSEC-2026-3150...

asc (>=0.1.0, <=0.3.1), openats (>=0.0.0.dev1, <=0.0.0.dev37) potentially affected by CVE-2022-35970 via tensorflow (1.2.1)

tensorflow PYPI version 1.2.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - asc =0.1.0, =0.0.0.dev1, =0.0.0.dev37 Source cves: CVE-2022-35970 Source advisory: OSV:PYSEC-2026-3183...

branchedgp (1.0.0), fate-client (>=0.1.0, <=1.5.3) +9 more potentially affected by CVE-2022-35971 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-2022-35971 Source...

c4v-py (>=0.1.0.dev1, <=0.1.0.dev202107081840), lsmmdma (>=0.0.4, <=0.1.7) +6 more potentially affected by CVE-2022-35972 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-2022-35972 Source advisory: OSV:PYSEC-2026-3272...

clip-jax (0.0.5) potentially affected by CVE-2022-35971 via tensorflow-cpu (2.9.0)

tensorflow-cpu PYPI version 2.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - clip-jax 0.0.5 Source cves: CVE-2022-35971 Source advisory: OSV:PYSEC-2026-3305...

PYSEC-2026-3360 TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`

Impact The implementation of Conv2DBackpropInput requires inputsizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf strides = 1, 1, 1, 1 padding = "SAME" usecudnnongpu = True explicitpaddings =...

PYSEC-2026-3150 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,...