TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

ImpactWhen tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2,...

TensorFlow vulnerable to `CHECK` fail in `Unbatch`

ImpactWhen Unbatch receives a nonscalar input id, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as nparg0=tf.constantvalue=np.random.randomsize=3, 3, 1, dtype=tf.float64arg1=tf.constantvalue=np.random.randint0,100,size=3, 3, 1,...

PYSEC-2026-1031 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

Impact When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float...

PYSEC-2026-937 TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`

Impact If EmptyTensorList receives an input elementshape with more than one dimension, it gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf tf.rawops.EmptyTensorListelementshape=tf.onesdtype=tf.int32, shape=1, 0,...

PYSEC-2026-994 TensorFlow vulnerable to null dereference on MLIR on empty function attributes

Impact When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference. cpp // Import the function attributes with a tf. prefix to match the current // infrastructure expectations. for const auto& namedAttr : func.attr const std::string& name =...

PYSEC-2026-1045 TensorFlow vulnerable to segfault in `Requantize`

Impact If Requantize is given inputmin, inputmax, requestedoutputmin, requestedoutputmax 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.quint8 input = tf.constant1, shape=3, dtype=tf.qint32...

PYSEC-2026-1022 TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

Impact When tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, dtype=tf.float64, maxval=None...

keras-pandas (>=1.1.2, <=2.0.1), learna-tools (0.1.0) potentially affected by CVE-2022-35998 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-2022-35998 Source advisory: OSV:PYSEC-2026-937...

asc (>=0.1.0, <=0.3.1), openats (>=0.0.0.dev1, <=0.0.0.dev37) potentially affected by CVE-2022-35998 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-2022-35998 Source advisory: OSV:PYSEC-2026-937...

animalai-train (0.4.0), mlagents (>=0.4.0, <=0.10.0.dev0) +2 more potentially affected by CVE-2022-35998 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-2022-35998 Source advisory:...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-35998 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-2022-35998 Source advisory: OSV:PYSEC-2026-937...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-36013 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-36013 Source advisory: OSV:PYSEC-2026-968...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-36005 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-36005 Source advisory: OSV:PYSEC-2026-1031...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-36017 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-36017 Source advisory: OSV:PYSEC-2026-1045...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-36003 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-36003 Source advisory: OSV:PYSEC-2026-982...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-36011 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-36011 Source advisory: OSV:PYSEC-2026-994...

deepdefacer (>=0.0.2, <=1.0.4), delft (>=0.1.2, <=0.2.0) potentially affected by CVE-2022-35995 via tensorflow-gpu (1.8.0)

tensorflow-gpu PYPI version 1.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - deepdefacer =0.0.2, =0.1.2, =0.2.0 Source cves: CVE-2022-35995 Source advisory: OSV:PYSEC-2026-998...

aadhaar-detection (0.5.0), abmarl (>=0.1.1, <=0.1.3) +551 more potentially affected by CVE-2022-35998 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-2022-35998 Source advisory: OSV:PYSEC-2026-937...

delft (0.2.2) potentially affected by CVE-2022-36002 via tensorflow-gpu (1.9.0)

tensorflow-gpu PYPI version 1.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - delft 0.2.2 Source cves: CVE-2022-36002 Source advisory: OSV:PYSEC-2026-1020...

delft (0.2.2) potentially affected by CVE-2022-36012 via tensorflow-gpu (1.9.0)

tensorflow-gpu PYPI version 1.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - delft 0.2.2 Source cves: CVE-2022-36012 Source advisory: OSV:PYSEC-2026-1015...