CVE-2025-0620 Samba: smbd doesn't pick up group membership changes when re-authenticating an expired smb session

A flaw was found in Samba. The smbd service daemon does not pick up group membership changes when re-authenticating an expired SMB session. This issue can expose file shares until clients disconnect and then connect again...

CVE-2025-0620

A flaw was found in Samba. The smbd service daemon does not pick up group membership changes when re-authenticating an expired SMB session. This issue can expose file shares until clients disconnect and then connect again...

CVE-2025-49333 WordPress Simple Membership plugin <= 4.6.3 - Cross Site Scripting (XSS) Vulnerability

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in wp.insider Simple Membership simple-membership allows Stored XSS.This issue affects Simple Membership: from n/a through = 4.6.3...

CVE-2025-49333

CVE-2025-49333 : In the WordPress plugin Simple Membership, an authenticated attacker can trigger a stored XSS due to improper input neutralization during web page generation. Affected: Simple Membership

CVE-2025-49333 WordPress Simple Membership plugin <= 4.6.3 - Cross Site Scripting (XSS) Vulnerability

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in wp.insider Simple Membership simple-membership allows Stored XSS.This issue affects Simple Membership: from n/a through = 4.6.3...

SUSE CVE-2025-0620

A flaw was found in Samba. The smbd service daemon does not pick up group membership changes when re-authenticating an expired SMB session. This issue can expose file shares until clients disconnect and then connect again...

Samba 安全漏洞

Samba is a Samba open source suite of standard Windows interoperability programs for Linux and Unix. A security vulnerability exists in Samba that stems from the smbd service not updating group membership, which could lead to exposed file shares...

WordPress plugin Simple Membership 跨站脚本漏洞

WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed using the PHP language. The platform supports setting up personal blog sites on servers with PHP and MySQL.WordPress plugin is an application plugin. A cross-site scripting...

What Really Is a Member? Discrediting Membership Inference Via Poisoning

Membership inference tests aim to determine whether a particular data point was included in a language model's training set. However, recent works have shown that such tests often fail under the strict definition of membership based on exact matching, and have suggested relaxing this definition t...

Membership Inference Attacks for Unseen Classes

Shadow model attacks are the state-of-the-art approach for membership inference attacks on machine learning models. However, these attacks typically assume an adversary has access to a background nonmember data distribution that matches the distribution the target model was trained on. We initiat...

When Better Features Mean Greater Risks: the Performance-Privacy Trade-Off in Contrastive Learning

With the rapid advancement of deep learning technology, pre-trained encoder models have demonstrated exceptional feature extraction capabilities, playing a pivotal role in the research and application of deep learning. However, their widespread use has raised significant concerns about the risk o...

PT-2025-24255 · Unknown · Simple Membership

Name of the Vulnerable Software and Affected Versions: Simple Membership versions through 4.6.3 Description: The issue is related to Improper Neutralization of Input During Web Page Generation, also known as Cross-site Scripting, which allows Stored XSS. This means that an attacker can inject...

Membership Inference Attacks on Sequence Models

Sequence models, such as Large Language Models LLMs and autoregressive image generators, have a tendency to memorize and inadvertently leak sensitive information. While this tendency has critical legal implications, existing tools are insufficient to audit the resulting risks. We hypothesize that...

PT-2025-23682

Name of the Vulnerable Software and Affected Versions Samba versions prior to 4.21.6 Description The issue concerns a problem with SMB session re-authentication when using Kerberos authentication with SMB. Specifically, smbd does not pick up group membership changes when re-authenticating an...

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack

Membership inference attack MIA has become one of the most widely used and effective methods for evaluating the privacy risks of machine learning models. These attacks aim to determine whether a specific sample is part of the model's training set by analyzing the model's output. While traditional...

UBUNTU-CVE-2025-0620

A flaw was found in Samba. The smbd service daemon does not pick up group membership changes when re-authenticating an expired SMB session. This issue can expose file shares until clients disconnect and then connect again...

Samba Missing Re-Authentication Vulnerability (CVE-2025-0620)

Samba is prone to a vulnerability when re-authenticating an expired SMB session. SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only CPE =...

CSVAR: Enhancing Visual Privacy in Federated Learning Via Adaptive Shuffling against Overfitting

Although federated learning preserves training data within local privacy domains, the aggregated model parameters may still reveal private characteristics. This vulnerability stems from clients' limited training data, which predisposes models to overfitting. Such overfitting enables models to...

Unlearning Inversion Attacks for Graph Neural Networks

Graph unlearning methods aim to efficiently remove the impact of sensitive data from trained GNNs without full retraining, assuming that deleted information cannot be recovered. In this work, we challenge this assumption by introducing the graph unlearning inversion attack: given only black-box...

Practical Bayes-Optimal Membership Inference Attacks

We develop practical and theoretically grounded membership inference attacks MIAs against both independent and identically distributed i.i.d. data and graph-structured data. Building on the Bayesian decision-theoretic framework of Sablayrolles et al., we derive the Bayes-optimal membership...