Apache Superset Improper Authorization allows low-privileged users to bypass access controls

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

Incorrect Authorization

Overview apache-superset is a modern, enterprise-ready business intelligence web application. Affected versions of this package are vulnerable to Incorrect Authorization during the dataset creation process. An attacker can gain unauthorized access to restricted data by overwriting the SQL query o...

CVE-2026-23982

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

CVE-2026-23982

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

CVE-2026-23982

CVE-2026-23982 describes an Improper Authorization in Apache Superset where a low-privilege user can bypass data access controls during dataset creation by overwriting the SQL query of an existing dataset. Affected: Apache Superset

CVE-2026-23982 Apache Superset: Improper Authorization in Dataset Creation Allows Access Control Bypass

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

CVE-2026-23982 Apache Superset: Improper Authorization in Dataset Creation Allows Access Control Bypass

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

CVE-2026-23982 Apache Superset: Improper Authorization in Dataset Creation Allows Access Control Bypass

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

EUVD-2026-8476

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

CVE-2026-23982: Incorrect Authorization

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

PT-2026-21680

Name of the Vulnerable Software and Affected Versions Apache Superset versions prior to 6.0.0 Description An improper authorization issue exists in Apache Superset that allows a low-privileged user to bypass data access controls. Specifically, an authenticated attacker with permissions to write...

SafePickle: Robust and Generic ML Detection of Malicious Pickle-Based ML Models

Model repositories such as Hugging Face increasingly distribute machine learning artifacts serialized with Python's pickle format, exposing users to remote code execution RCE risks during model loading. Recent defenses, such as PickleBall, rely on per-library policy synthesis that requires comple...

Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study

The growing reliance on AI-identified digital evidence raises significant concerns about its reliability, particularly as large language models LLMs are increasingly integrated into forensic investigations. This paper proposes a structured framework that automates forensic artifact extraction,...

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

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...

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...

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...