3822 matches found
LangSmith SDK: Streaming token events bypass output redaction
SummaryThe LangSmith SDK's output redaction controls hideOutputs in JS, hideoutputs in Python do not apply to streaming token events. When an LLM run produces streaming output, each chunk is recorded as a newtoken event containing the raw token value. These events bypass the redaction pipeline...
RAGAS has an Arbitrary File Read vulnerability
An Arbitrary File Read vulnerability exists in the ImageTextPromptValue class in Exploding Gradients RAGAS v0.2.3 to v0.2.14. The vulnerability stems from improper validation and sanitization of URLs supplied in the retrievedcontexts parameter when handling multimodal inputs...
PYSEC-2026-3047 RAGAS has an Arbitrary File Read vulnerability
An Arbitrary File Read vulnerability exists in the ImageTextPromptValue class in Exploding Gradients RAGAS v0.2.3 to v0.2.14. The vulnerability stems from improper validation and sanitization of URLs supplied in the retrievedcontexts parameter when handling multimodal inputs...
PYSEC-2026-3276 TensorFlow has Null Pointer Error in SparseSparseMaximum
Impact When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE. python import tensorflow as tf tf.rawops.SparseSparseMaximum aindices=1, avalues = 0.1 , ashape = 2, bindices=, bvalues =2 , bshape = 2, Patches We have patched the issue in GitHub commit...
PYSEC-2026-3106 TensorFlow has Null Pointer Error in SparseSparseMaximum
Impact When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE. python import tensorflow as tf tf.rawops.SparseSparseMaximum aindices=1, avalues = 0.1 , ashape = 2, bindices=, bvalues =2 , bshape = 2, Patches We have patched the issue in GitHub commit...
PYSEC-2026-3340 `CHECK` fail via inputs in `SparseFillEmptyRowsGrad`
Impact If SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash. python import tensorflow as tf tf.rawops.SparseFillEmptyRowsGrad reverseindexmap=, gradvalues=, name=None Patches We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be...
PYSEC-2026-3201 `CHECK` fail via inputs in `SparseFillEmptyRowsGrad`
Impact If SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash. python import tensorflow as tf tf.rawops.SparseFillEmptyRowsGrad reverseindexmap=, gradvalues=, name=None Patches We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be...
PYSEC-2026-3251 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-2026-3208 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-2026-3246 TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`
Impact If QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, 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 inputmin = tf.constant,...
PYSEC-2026-3373 TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`
Impact If QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, 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 inputmin = tf.constant,...
PYSEC-2026-3119 TensorFlow vulnerable to segfault in `QuantizedMatMul`
Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...
PYSEC-2026-3285 TensorFlow vulnerable to segfault in `QuantizedMatMul`
Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...
PYSEC-2026-3093 TensorFlow vulnerable to segfault in `SparseBincount`
Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...
PYSEC-2026-3245 TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`
Impact If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.quint8 features = tf.constant28, shape=4,2, dtype=tf.quint8 minfeatures...
PYSEC-2026-3103 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,...
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 =...
PYSEC-2026-3363 TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`
Impact If 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. python import tensorflow as tf outtype = tf.int32 sortedinputs = tf.constant, shape=10,0, dtype=tf.float32...
PYSEC-2026-3233 TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`
Impact If 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. python import tensorflow as tf outtype = tf.int32 sortedinputs = tf.constant, shape=10,0, dtype=tf.float32...
CVE-2026-13014 Remote Code Execution vulnerability in "Suspicious" application
A vulnerability in Thales CERT "Suspicious" application = 1.3.4 allows a remote and unauthenticated attacker to execute arbitrary code and arbitrarily overwrite writable application files—including Python modules, configuration files, cron inputs, and runtime artifacts—leading to a persistent...