GHSA-QV8J-HGPC-VRQ8 Google Cloud Vertex AI SDK affected by Stored Cross-Site Scripting (XSS)

Stored Cross-Site Scripting XSS in the genai/evalsvisualization component of Google Cloud Vertex AI SDK google-cloud-aiplatform versions from 1.98.0 up to but not including 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment...

CVE-2026-2472

Stored Cross-Site Scripting XSS in the genai/evalsvisualization component of Google Cloud Vertex AI SDK google-cloud-aiplatform versions from 1.98.0 up to but not including 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment...

CVE-2026-2472

CVE-2026-2472 concerns Google Cloud Vertex AI SDK (google-cloud-aiplatform). The vulnerability resides in the _genai/_evals_visualization component and affects versions from 1.98.0 up to, but not including, 1.131.0. It enables a stored XSS where an unauthenticated remote attacker can inject scrip...

PT-2026-21290

Name of the Vulnerable Software and Affected Versions Google Cloud Vertex AI SDK google-cloud-aiplatform versions 1.98.0 through 1.130.9 Description A Stored Cross-Site Scripting XSS issue exists in the genai/ evals visualization component of Google Cloud Vertex AI SDK. This allows an...

PT-2026-21286

A vulnerability was identified in yeqifu warehouse up to aaf29962ba407d22d991781de28796ee7b4670e4. This issue affects the function addSales/updateSales/deleteSales of the file datasetreposwarehousesrcmainjavacomyeqifubuscontrollerSalesController.java of the component Sales Endpoint. The...

@deno/sandbox (>=0.0.9, <=0.6.0), @ekairos/dataset (>=1.21.56-beta.0, <=1.22.22-beta.development.0) +51 more potentially affected by unknown CVE via devalue (>=5.0.0, <=5.6.2)

devalue NPM version =5.0.0, =0.0.9, =1.21.56-beta.0, =1.22.4-beta.development.0, =1.21.56-beta.0, =1.21.67-beta.0, =1.21.88-beta.0, =0.0.0-dev-20260121145510, =0.0.0-dev-20260115183047, =0.0.0-dev-20260115183047, =0.0.0-dev-20260115183047, =2.3.65, =1.1.27, =1.1.21, =1.2.263, =2.2.3, =4.0.1 and...

PenTiDef: Enhancing Privacy and Robustness in Decentralized Federated Intrusion Detection Systems against Poisoning Attacks

The increasing deployment of Federated Learning FL in Intrusion Detection Systems IDS introduces new challenges related to data privacy, centralized coordination, and susceptibility to poisoning attacks. While significant research has focused on protecting traditional FL-IDS with centralized...

Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents

Large Language Models are expanding beyond being a tool humans use and into independent agents that can observe an environment, reason about solutions to problems, make changes that impact those environments, and understand how their actions impacted their environment. One of the most common...

GHSA-GFMX-QQQH-F38Q Duplicate Advisory: Keras vulnerable to arbitrary file read in the model loading mechanism (HDF5 integration)

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-3m4q-jmj6-r34q. This link is maintained to preserve external references. Original Description Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all...

Duplicate Advisory: Keras vulnerable to arbitrary file read in the model loading mechanism (HDF5 integration)

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-3m4q-jmj6-r34q. This link is maintained to preserve external references. Original Description Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all...

MalTool: Malicious Tool Attacks on LLM Agents

In a malicious tool attack, an attacker uploads a malicious tool to a distribution platform; once a user installs the tool and the LLM agent selects it during task execution, the tool can compromise the user's security and privacy. Prior work primarily focuses on manipulating tool names and...

Linux Distros Unpatched Vulnerability : CVE-2026-1669

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker t...

Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks

The rise of heterogeneous Internet of Things IoT devices has raised security concerns due to their vulnerability to cyberattacks. Intrusion Detection Systems IDS are crucial in addressing these threats. Federated Learning FL offers a privacy-preserving solution, but IoT heterogeneity and limited...

DEBIAN-CVE-2026-1669

Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references...

AZL-77414 CVE-2026-1669 affecting package keras for versions less than 3.3.3-7

Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references...

CVE-2026-1669

Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references...

CVE-2026-1669

Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references...

CVE-2026-1669 Arbitrary File Read in Keras via HDF5 External Datasets

Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references...

CVE-2026-1669

Removed by vendor...

LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection

Feature selection FS remains essential for building accurate and interpretable detection models, particularly in high-dimensional malware datasets. Conventional FS methods such as Extra Trees, Variance Threshold, Tree-based models, Chi-Squared tests, ANOVA, Random Selection, and Sequential...