CVE-2026-12694

Missing Authorization vulnerability in Vimesoft Inc. Enterprise Video Platform allows Accessing Functionality Not Properly Constrained by ACLs. This issue affects Enterprise Video Platform: from 3.11.0.0 before 3.25.0...

Important: Red Hat Security Advisory: Red Hat Advanced Cluster Management for Kubernetes v2.11.10 security update

Red Hat Advanced Cluster Management for Kubernetes 2.11 General Availability release images, which add new features and enhancements, bug fixes, and updated container images. Red Hat Advanced Cluster Management for Kubernetes 2.11 images Red Hat Advanced Cluster Management for Kubernetes provides...

Security Bulletin: The IBM Common Licensing IBM WebSphere Application Server Liberty could provide weaker than expected security

Summary IBM WebSphere Application Server Liberty could provide weaker than expected security administering security settings when the appSecurity-1.0, appSecurity-2.0, appSecurity-3.0, appSecurity-4.0 or appSecurity-5.0 feature is enabled. Vulnerability Details Refer to the security bulletins...

On the Impact of Entropy-Based Features

Network anomaly detection is increasingly challenging due to the growing diversity and variability of traffic patterns, which are not always well captured by traditional statistical features. In this work, we explore the use of entropy as an additional feature to support supervised network traffi...

Important: Red Hat Security Advisory: multicluster engine for Kubernetes v2.6.12 security update

The multicluster engine for Kubernetes 2.6 General Availability release images, which add new features and enhancements, bug fixes, and updated container images. The multicluster engine for Kubernetes v2.6 images The multicluster engine for Kubernetes provides the foundational components that are...

Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection

Large language model LLM-based intrusion detection systems IDS are increasingly studied for security monitoring, yet their robustness against feasible traffic manipulation remains largely empirical. We present Traffic-Aware Randomized Smoothing TA-RS, a classifier-agnostic certified defense that...

EUVD-2026-43923

Improper access control in Windows System allows an unauthorized attacker to bypass a security feature locally...

CVE-2026-62194

OpenClaw versions 2026.5.20 before 2026.6.9 contain a privilege escalation vulnerability in plugin install commands that allows lower-trust callers to execute or persist actions beyond their intended authorization. Attackers can exploit misconfigured input paths or enabled features to escalate...

CVE-2026-62194 OpenClaw 2026.5.20 < 2026.6.9 Privilege Escalation via Plugin Install

OpenClaw versions 2026.5.20 before 2026.6.9 contain a privilege escalation vulnerability in plugin install commands that allows lower-trust callers to execute or persist actions beyond their intended authorization. Attackers can exploit misconfigured input paths or enabled features to escalate...

CVE-2026-62194

OpenClaw versions 2026.5.20 before 2026.6.9 contain a privilege escalation vulnerability in plugin install commands that allows lower-trust callers to execute or persist actions beyond their intended authorization. Attackers can exploit misconfigured input paths or enabled features to escalate...

`CHECK` fail via inputs in `SdcaOptimizer`

ImpactInputs densefeatures or examplestatedata not of rank 2 will trigger a CHECK fail in SdcaOptimizer.pythonimport tensorflow as tftf.rawops.SdcaOptimizer sparseexampleindices=4 tf.random.uniform5,5,5,3, dtype=tf.dtypes.int64, maxval=100, sparsefeatureindices=4 tf.random.uniform5,5,5,3,...

`CHECK` fail via inputs in `SdcaOptimizer`

ImpactInputs densefeatures or examplestatedata not of rank 2 will trigger a CHECK fail in SdcaOptimizer.pythonimport tensorflow as tftf.rawops.SdcaOptimizer sparseexampleindices=4 tf.random.uniform5,5,5,3, dtype=tf.dtypes.int64, maxval=100, sparsefeatureindices=4 tf.random.uniform5,5,5,3,...

PYSEC-2026-3264 `CHECK` fail via inputs in `SdcaOptimizer`

Impact Inputs densefeatures or examplestatedata not of rank 2 will trigger a CHECK fail in SdcaOptimizer. python import tensorflow as tf tf.rawops.SdcaOptimizer sparseexampleindices=4 tf.random.uniform5,5,5,3, dtype=tf.dtypes.int64, maxval=100, sparsefeatureindices=4 tf.random.uniform5,5,5,3,...

PYSEC-2026-3086 `CHECK` fail via inputs in `SdcaOptimizer`

Impact Inputs densefeatures or examplestatedata not of rank 2 will trigger a CHECK fail in SdcaOptimizer. python import tensorflow as tf tf.rawops.SdcaOptimizer sparseexampleindices=4 tf.random.uniform5,5,5,3, dtype=tf.dtypes.int64, maxval=100, sparsefeatureindices=4 tf.random.uniform5,5,5,3,...

PYSEC-2026-3372 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...

TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`

ImpactIf 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.pythonimport tensorflow as tfouttype = tf.quint8features = tf.constant28, shape=4,2, dtype=tf.quint8minfeatures =...

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...

PT-2026-57896

OpenClaw versions 2026.5.20 before 2026.6.9 contain a privilege escalation vulnerability in plugin install commands that allows lower-trust callers to execute or persist actions beyond their intended authorization. Attackers can exploit misconfigured input paths or enabled features to escalate...

PT-2026-59860

Impact If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for min features or max features, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf out type = tf.quint8 features = tf.constant28, shape=4,2, dtype=tf.quint8 min...

PT-2026-59986

Impact If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for min features or max features, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf out type = tf.quint8 features = tf.constant28, shape=4,2, dtype=tf.quint8 min...