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-2026-3285 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-2026-3245 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-2026-3093 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-2026-3119 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-2026-3103 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,...

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...

Security Bulletin: Security vulnerabilities have been detected in IBM Security Verify Governance Identity Manager Adapters

Summary IBM Security Verify Governance Identity Manager Adapters use jackson-databind-2.15.2.jar, jackson-databind-2.18.6.jar and jackson-databind-2.21.1.jar, which is affected by multiple security vulnerabilities Vulnerability Details CVEID:CVE-2026-54512 DESCRIPTION: jackson-databind contains t...

DEBIAN-CVE-2026-56366

ImageMagick before 7.1.2-18 contains a memory leak vulnerability in the META reader when processing APP1JPEG input paths. Attackers can trigger this memory leak by providing specially crafted APP1JPEG image files, causing denial of service through resource exhaustion...

CVE-2026-41876

CVE-2026-41876 affects R-SOFT DMS. The vulnerability is an OS Command Injection in konwertujAction(), where the document converter executes shell commands using unsanitized file paths and format parameters, allowing an authenticated attacker to run arbitrary commands with the web server user’s pr...

CVE-2026-41876

R-SOFT DMS is vulnerable to OS Command Injection in konwertujAction function. The document converter executes shell commands using unsanitized file paths and format parameters. This allows an authenticated attacker to execute arbitrary system commands with the privileges of the web server user...

CVE-2026-44512

A flaw was found in Open Neural Network Exchange ONNX, an open standard for machine learning interoperability. This vulnerability allows a remote attacker to cause an unrecoverable denial of service DoS by providing a specially crafted untrusted model. The flaw occurs when the...

Security Bulletin: Multiple vulnerabilities in IBM Rational Developer for i

Summary IBM Rational Developer for i is affected by a prototype pollution vulnerability in Axios CVE-2026-42033, an allocation without limits vulnerability in Axios CVE-2026-42034, an improper neutralization vulnerability in Axios CVE-2026-42035, an allocation without limits vulnerability in Axio...

EUVD-2026-42657

Coolify is an open-source and self-hostable tool for managing servers, applications, and databases. Prior to 4.0.0-beta.469, Coolify's app/Jobs/ApplicationDeploymentJob.php generatehealthcheckcommands function directly interpolated the healthcheckhost, healthcheckmethod, and healthcheckpath...

PYSEC-2026-3302 TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation

Impact The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. python import tensorflow as tf tf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 Patche...

PYSEC-2026-3247 Out of bounds read in Tensorflow

Impact The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap: python import tensorflow as tf @tf.function def test: y = tf.rawops.FractionalAvgPoolGrad originputtensorshape=2,2,2,2,...

SUSE CVE-2026-14380

DBI versions before 1.650 for Perl are vulnerable to code injection via caller-influenced Profile. When a string is assigned to a DBI handle's Profile attribute, DBI splits it into path, package and arguments, and interpolates the package part in a string eval with no validation of the package...