axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-29205 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...

cellunet (>=0.1.0, <=0.2.2), color2vec (1.0.0) +12 more potentially affected by CVE-2022-29205 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-2022-29205 Source...

cf-nlp (>=0.1.0, <=0.1.1), dlgo (0.2.0) +2 more potentially affected by CVE-2022-29201 via tensorflow (1.10.1)

tensorflow PYPI version 1.10.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - cf-nlp =0.1.0, =0.6.0, =0.6.1 Source cves: CVE-2022-29201 Source advisory: OSV:PYSEC-2026-3224...

accuinsight (1.0.1), aimodelshare (0.1.52) +83 more potentially affected by CVE-2022-29206 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...

PYSEC-2026-3224 Missing validation results in undefined behavior in `QuantizedConv2D`

Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...

PYSEC-2026-3203 Missing validation causes denial of service via `Conv3DBackpropFilterV2`

Impact The implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.strings.unsortedsegmentjoin inputs='123', segmentids=0, numsegments=-1...

Missing validation results in undefined behavior in `QuantizedConv2D`

ImpactThe implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments:pythonimport tensorflow as tfinput = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad argsmininput = tf.constant, shape=0,...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-29206 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-2022-29206 Source advisory: OSV:PYSEC-2026-3235...

asc (>=0.1.0, <=0.3.1), openats (>=0.0.0.dev1, <=0.0.0.dev37) potentially affected by CVE-2022-29202 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-2022-29202 Source advisory: OSV:PYSEC-2026-3163...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-29201 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-2022-29201 Source advisory: OSV:PYSEC-2026-3224...

abba-python (>=0.1.6, <=0.3.0), adversal-embedding (>=0.0.1, <=0.0.7) +52 more potentially affected by CVE-2022-29206 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-2022-29206...

axelerate (>=0.5.2, <=0.5.5), bert-experimental (1.0.0) +24 more potentially affected by CVE-2022-29202 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 -...

cellunet (>=0.1.0, <=0.2.2), color2vec (1.0.0) +12 more potentially affected by CVE-2022-29202 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-2022-29202 Source...

aether (>=0.3.26, <=0.3.32), animalai-train (>=0.4.2, <=0.5.0) +26 more potentially affected by CVE-2022-29203 via tensorflow (1.12.0)

tensorflow PYPI version 1.12.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - aether =0.3.26, =0.4.2, =1.0.17.1, =0.1.0, =0.3.1, =0.1.0, =0.0.1, =1.0.0, =0.7.0, =0.8.0 and more Source cves: CVE-2022-29203 Source...

es-distributed (0.1.0.dev0), strawberryfields (>=0.7.0, <=0.7.1) +1 more potentially affected by CVE-2022-29202 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-2022-29202 Source advisory:...

diluvian (>=0.0.2, <=0.0.3), guesslang (>=0.9.0rc5, <=0.9.1) +3 more potentially affected by CVE-2022-29201 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-2022-29201 Source advisory:...

chicksexer (0.2.2), gender-detection (0.2.2) +2 more potentially affected by CVE-2022-29206 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-2022-29206 Source advisor...

aadhaar-detection (0.5.0), accuinsight (>=1.0.84, <=1.0.87) +34 more potentially affected by CVE-2022-29206 via tensorflow (>=2.7.0, <=2.7.1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =1.2.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-29206 Source advisory: OSV:PYSEC-2026-3235...

axelerate (>=0.5.8, <=0.5.9), bianbu-ai-toolkit-tf1 (1.0.6) +27 more potentially affected by CVE-2022-29203 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...

cellunet (>=0.1.0, <=0.2.2), color2vec (1.0.0) +12 more potentially affected by CVE-2022-29203 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-2022-29203 Source...