PYSEC-2026-1952 TensorFlow Denial of Service vulnerability

Impact A malicious invalid input crashes a tensorflow model Check Failed and can be used to trigger a denial of service attack. To minimize the bug, we built a simple single-layer TensorFlow model containing a Convolution3DTranspose layer, which works well with expected inputs and can be deployed...

PYSEC-2026-1136 Apache Airflow Drill Provider vulnerable to improper input validation

Apache Software Foundation's Apache Airflow Drill Provider before 2.3.2 is vulnerable to improper input validation because the host passed in drill connection is not sanitized...

PYSEC-2026-1140 Apache Airflow Spark Provider vulnerable to improper input validation

Apache Software Foundation Apache Airflow Spark Provider before 4.0.1 is vulnerable to improper input validation because the host and schema of JDBC Hook can contain / and ? which is used to denote the end of the field...

PYSEC-2026-954 TensorFlow has Floating Point Exception in TFLite in conv kernel

Impact Constructing a tflite model with a paramater filterinputchannel of less than 1 gives a FPE. Patches We have patched the issue in GitHub commit 34f8368c535253f5c9cb3a303297743b62442aaa. The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1. Fo...

PYSEC-2026-908 Improper Input Validation in pyload-ng

Improper Input Validation in GitHub repository pyload/pyload prior to 0.5.0b3.dev40...

PYSEC-2026-774 Apache Airflow Google Provider Improper Input Validation vulnerability

Improper Input Validation vulnerability in the Apache Airflow Google Provider. This issue affects Apache Airflow Google Provider versions before 8.10.0...

PYSEC-2026-936 Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite

Impact The reference kernel of the CONV3DTRANSPOSE TensorFlow Lite operator wrongly increments the dataptr when adding the bias to the result. Instead of dataptr += numchannels; it should be dataptr += outputnumchannels; as if the number of input channels is different than the number of output...

PYSEC-2026-997 `CHECK_EQ` fail via input in `SparseMatrixNNZ`

Impact An input sparsematrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.rawops.SparseMatrixNNZ. python import tensorflow as tf tf.rawops.SparseMatrixNNZsparsematrix= Patches We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The...

PYSEC-2026-958 `CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact If tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. python import numpy as np import tensorflow as tf a = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5 b = np.zeros0, 2, ...

PYSEC-2026-1021 `CHECK` fail via inputs in `PyFunc`

Impact An input token that is not a UTF-8 bytestring will trigger a CHECK fail in tf.rawops.PyFunc. python import tensorflow as tf value = tf.constantvalue=1,2 token = b'\xb0' dataType = tf.int32 tf.rawops.PyFuncinput=value,token=token,Tout=dataType Patches We have patched the issue in GitHub...

pymatgen is vulnerable to Regular Expression Denial of Service (ReDoS)

An exponential ReDoS Regular Expression Denial of Service can be triggered in the pymatgen PyPI package, when an attacker is able to supply arbitrary input to the GaussianInput.fromstring method...

PYSEC-2026-909 pymatgen is vulnerable to Regular Expression Denial of Service (ReDoS)

An exponential ReDoS Regular Expression Denial of Service can be triggered in the pymatgen PyPI package, when an attacker is able to supply arbitrary input to the GaussianInput.fromstring method...

PYSEC-2026-1013 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs

Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: python np.ones0, 231, 231 An example of a proof of concept: python import numpy as np import tensorflow as tf inputval =...

PYSEC-2026-1042 Out of bounds segmentation fault due to unequal op inputs in Tensorflow

Impact tf.rawops.DynamicStitch specifies input sizes when it is registered. cpp REGISTEROP"DynamicStitch" .Input"indices: N int32" .Input"data: N T" .Output"merged: T" .Attr"N : int = 1" .Attr"T : type" .SetShapeFnDynamicStitchShapeFunction; When it receives a differing number of inputs, such as...

PYSEC-2026-962 FPE in `tf.image.generate_bounding_box_proposals`

Impact When running on GPU, tf.image.generateboundingboxproposals receives a scores input that must be of rank 4 but is not checked. python import tensorflow as tf a = tf.constantvalue=1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 b = tf.constantvalue=1...

PYSEC-2026-940 TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`

Impact The implementation of AvgPoolGrad does not fully validate the input originputshape. This results in a CHECK failure which 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 = "VALID" dataformat = "NHWC"...

PYSEC-2026-1028 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-2026-980 TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

Impact When tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf a = tf.constant, shape=0, 1, 1, dtype=tf.float32 tf.linalg.matrixranka=a Patches We have patched the issue in GitHub...

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-2026-949 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,...