niftynet (0.1.1rc58) potentially affected by CVE-2022-35959 via tensorflow-gpu (1.1.0)

tensorflow-gpu PYPI version 1.1.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - niftynet 0.1.1rc58 Source cves: CVE-2022-35959 Source advisory: OSV:PYSEC-2026-1046...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +45 more potentially affected by CVE-2022-35960 via tensorflow-gpu (>=2.0.0, <=2.7.0)

tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.1 and more Source cves: CVE-2022-35960 Source advisory: OSV:PYSEC-2026-1036...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +45 more potentially affected by CVE-2022-35991 via tensorflow-gpu (>=2.0.0, <=2.7.0)

tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.1 and more Source cves: CVE-2022-35991 Source advisory: OSV:PYSEC-2026-1040...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +45 more potentially affected by CVE-2022-35963 via tensorflow-gpu (>=2.0.0, <=2.7.0)

tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.1 and more Source cves: CVE-2022-35963 Source advisory: OSV:PYSEC-2026-969...

animl (>=1.1.2, <=1.1.4), audio-classification-models (1.0.1) +45 more potentially affected by CVE-2022-35992 via tensorflow-gpu (>=2.0.0, <=2.7.0)

tensorflow-gpu PYPI version =2.0.0, =1.1.2, =0.0.1, =0.0.9, =0.0.4, =1.1.1, =1.1.0, =0.1.1, =0.1.0, =0.1.5, =0.2.1 and more Source cves: CVE-2022-35992 Source advisory: OSV:PYSEC-2026-979...

TensorFlow vulnerable to `CHECK` fail in `TensorListFromTensor`

ImpactWhen TensorListFromTensor receives an elementshape of a rank greater than one, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=6, 6, 2, dtype=tf.bfloat16, maxval=Nonearg1=tf.random.uniformshape=6, 9, 1, 3,...

TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`

ImpactThe implementation of AvgPool3DGradOp does not fully validate the input originputshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfksize = 1, 1, 1, 1, 1strides = 1, 1, 1, 1, 1padding =...

TensorFlow vulnerable to `CHECK` fail in `SetSize`

ImpactWhen SetSize receives an input setshape that is not a 1D tensor, it gives a CHECK fails that can be used to trigger a denial of service attack.pythonimport tensorflow as tfarg0=1arg1=1,1arg2=1arg3=Truearg4=''tf.rawops.SetSizesetindices=arg0, setvalues=arg1, setshape=arg2,...

TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`

ImpactIf LowerBound or UpperBound is given an emptysortedinputs input, it results in a nullptr dereference, leading to a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfouttype = tf.int32sortedinputs = tf.constant, shape=10,0, dtype=tf.float32values =...

TensorFlow vulnerable to floating point exception in `Conv2D`

ImpactIf Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as npwith tf.device"CPU": also can be...

PYSEC-2026-1046 TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`

Impact The implementation of AvgPool3DGradOp does not fully validate the input originputshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 padding ...

PYSEC-2026-949 TensorFlow vulnerable to segfault in `QuantizedAvgPool`

Impact If QuantizedAvgPool is given mininput or maxinput 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 ksize = 1, 2, 2, 1 strides = 1, 2, 2, 1 padding = "SAME" input = tf.constant1, shape=1,4,4,2,...

PYSEC-2026-1029 TensorFlow vulnerable to floating point exception in `Conv2D`

Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...

PYSEC-2026-988 TensorFlow vulnerable to segfault in `BlockLSTMGradV2`

Impact The implementation of BlockLSTMGradV2 does not fully validate its inputs. - wci, wcf, wco, b must be rank 1 - w, csprev, hprev must be rank 2 - x must be rank 3 This results in a a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf usepeephole =...

PYSEC-2026-1006 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

Impact When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None...

PYSEC-2026-979 TensorFlow vulnerable to `CHECK` fail in `TensorListFromTensor`

Impact When TensorListFromTensor receives an elementshape of a rank greater than one, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=6, 6, 2, dtype=tf.bfloat16, maxval=None arg1=tf.random.uniformshape=6, 9, 1, 3,...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35952 via tensorflow-gpu (1.15.3)

tensorflow-gpu PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - verse16 =0.1.1, =0.1.2 Source cves: CVE-2022-35952 Source advisory: OSV:PYSEC-2026-1005...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35996 via tensorflow-gpu (1.15.3)

tensorflow-gpu PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - verse16 =0.1.1, =0.1.2 Source cves: CVE-2022-35996 Source advisory: OSV:PYSEC-2026-1029...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35991 via tensorflow-gpu (1.15.3)

tensorflow-gpu PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - verse16 =0.1.1, =0.1.2 Source cves: CVE-2022-35991 Source advisory: OSV:PYSEC-2026-1040...

verse16 (>=0.1.1, <=0.1.2) potentially affected by CVE-2022-35992 via tensorflow-gpu (1.15.3)

tensorflow-gpu PYPI version 1.15.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - verse16 =0.1.1, =0.1.2 Source cves: CVE-2022-35992 Source advisory: OSV:PYSEC-2026-979...