cf-nlp (>=0.1.0, <=0.1.1), dlgo (0.2.0) +2 more potentially affected by CVE-2022-29209 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-2022-29209 Source advisory: OSV:PYSEC-2026-3167...

azureml-contrib-brainwave (0.1.68.2), azureml-train-automl (>=0.1.68, <=0.1.80) +5 more potentially affected by CVE-2022-29209 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-2022-29209...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-29207 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-2022-29207 Source advisory: OSV:PYSEC-2026-3112...

axelerate (>=0.5.2, <=0.5.5), bert-experimental (1.0.0) +24 more potentially affected by CVE-2022-29209 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 -...

PYSEC-2026-3088 Segfault and OOB write due to incomplete validation in `EditDistance` in TensorFlow

Impact The implementation of tf.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service: python import tensorflow as tf hypothesisindices = tf.constant-1250999896764, shape=3, 3, dtype=tf.int64 hypothesisvalues =...

PYSEC-2026-3260 Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow

Impact The implementation of tf.histogramfixedwidth is vulnerable to a crash when the values array contain NaN elements: python import tensorflow as tf import numpy as np tf.histogramfixedwidthvalues=np.nan, valuerange=1,2 The implementation assumes that all floating point operations are defined...

PYSEC-2026-3315 Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

Impact The macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of the macros would trigger incorrectly. Patches We have patched the issue in GitHub commit...

PYSEC-2026-3382 Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow

Impact The implementation of tf.histogramfixedwidth is vulnerable to a crash when the values array contain NaN elements: python import tensorflow as tf import numpy as np tf.histogramfixedwidthvalues=np.nan, valuerange=1,2 The implementation assumes that all floating point operations are defined...

PYSEC-2026-3167 Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

Impact The macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of the macros would trigger incorrectly. Patches We have patched the issue in GitHub commit...

PYSEC-2026-3280 Undefined behavior when users supply invalid resource handles

Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: python import tensorflow as tf tf.rawops.QueueIsClosedV2handle= python import tensorflow as tf tf.summary.flushwriter= In graph mode, it would have been impossible to perform these...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-29211 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-2022-29211 Source advisory: OSV:PYSEC-2026-3260...

PYSEC-2026-3112 Undefined behavior when users supply invalid resource handles

Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: python import tensorflow as tf tf.rawops.QueueIsClosedV2handle= python import tensorflow as tf tf.summary.flushwriter= In graph mode, it would have been impossible to perform these...

Undefined behavior when users supply invalid resource handles

ImpactMultiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid:pythonimport tensorflow as tftf.rawops.QueueIsClosedV2handle=pythonimport tensorflow as tftf.summary.flushwriter= In graph mode, it would have been impossible to perform these API...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-29208 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-2022-29208 Source advisory: OSV:PYSEC-2026-3088...

azureml-automl-core (>=1.0.23, <=1.0.33), kassandra (0.0.1) +3 more potentially affected by CVE-2022-29207 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-2022-29207 Source advisory: OSV:PYSEC-2026-3112...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-29209 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-2022-29209 Source advisory: OSV:PYSEC-2026-3167...

Undefined behavior when users supply invalid resource handles

ImpactMultiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid:pythonimport tensorflow as tftf.rawops.QueueIsClosedV2handle=pythonimport tensorflow as tftf.summary.flushwriter= In graph mode, it would have been impossible to perform these API...

Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow

ImpactThe implementation of tf.histogramfixedwidth is vulnerable to a crash when the values array contain NaN elements:pythonimport tensorflow as tfimport numpy as nptf.histogramfixedwidthvalues=np.nan, valuerange=1,2The implementation assumes that all floating point operations are defined and th...

PYSEC-2026-3339 Heap buffer overflow due to incorrect hash function in TensorFlow

Impact The TensorKey hash function used total estimated AllocatedBytes, which a is an estimate per tensor, and b is a very poor hash function for constants e.g. int32t. It also tried to access individual tensor bytes through tensor.data of size AllocatedBytes. This led to ASAN failures because th...

aether (>=0.3.26, <=0.3.32), animalai-train (>=0.4.2, <=0.5.0) +26 more potentially affected by CVE-2022-29208 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-2022-29208 Source...