SUSE: Security Advisory (SUSE-SU-2025:1430-1)

The remote host is missing an update for the 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 ifdescription...

Fedora: Security Advisory (FEDORA-2025-66b73d6c72)

The remote host is missing an update for the 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 ifdescription...

SUSE: Security Advisory (SUSE-SU-2025:1436-1)

The remote host is missing an update for the 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 ifdescription...

Device Presence Anomaly Detected (High)

It is important to know what assets exist in your network. New assets can indicate unexpected network connections, third-party connectivity, or potential threats to the network. This plugin only works with Tenable.ot. Please visit https://www.tenable.com/products/tenable-ot for more information...

Threat Exposure Indicators Detected (Low)

Intrusion detection events may indicate that the network has been compromised and is exposed to malicious entities. It is important to be aware of any such traffic that may indicate reconnaissance activity, attacks on the network, or propagation of a threat to/from other subnets of the network...

Fedora: Security Advisory (FEDORA-2025-59ebc165fc)

The remote host is missing an update for the 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 ifdescription...

CVE-2025-4253

creationtimestamp| type| source ---|---|--- 2025-05-04 23:18:17+00:00| published-proof-of-concept| https://t.me/DarkWebInformerCVEAlerts/14815 2025-05-05 00:16:41+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3lof3p25a5e2p 2025-05-05 01:30:29+00:00| published-proof-of-concept|...

CVE-2023-53052

In the Linux kernel, the following vulnerability has been resolved: cifs: fix use-after-free bug in refreshcacheworker The UAF bug occurred because we were putting DFS root sessions in cifsumount while DFS cache refresher was being executed. Make DFS root sessions have same lifetime as DFS tcons ...

CVE-2025-37764

In the Linux kernel, the following vulnerability has been resolved: drm/imagination: fix firmware memory leaks Free the memory used to hold the results of firmware image processing when the module is unloaded. Fix the related issue of the same memory being leaked if processing of the firmware ima...

A Survey on Privacy Risks and Protection in Large Language Models

Although Large Language Models LLMs have become increasingly integral to diverse applications, their capabilities raise significant privacy concerns. This survey offers a comprehensive overview of privacy risks associated with LLMs and examines current solutions to mitigate these challenges. Firs...

Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering XApp

The Open Radio Access Network O-RAN architecture is revolutionizing cellular networks with its open, multi-vendor design and AI-driven management, aiming to enhance flexibility and reduce costs. Although it has many advantages, O-RAN is not threat-free. While previous studies have mainly examined...

CVE-2023-53035 nilfs2: fix kernel-infoleak in nilfs_ioctl_wrap_copy()

In the Linux kernel, the following vulnerability has been resolved: nilfs2: fix kernel-infoleak in nilfsioctlwrapcopy The ioctl helper function nilfsioctlwrapcopy, which exchanges a metadata array to/from user space, may copy uninitialized buffer regions to user space memory for read-only ioctl...

GMOD Apollo Detection

Binary data gmodapollodetect.nbin...

Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability

While machine learning has significantly advanced Network Intrusion Detection Systems NIDS, particularly within IoT environments where devices generate large volumes of data and are increasingly susceptible to cyber threats, these models remain vulnerable to adversarial attacks. Our research...

Ubuntu: Security Advisory (USN-7474-1)

The remote host is missing an update for the 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 ifdescription...

Debian: Security Advisory (DLA-4150-1)

The remote host is missing an update for the Debian 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 ifdescription...

Poster: Machine Learning for Vulnerability Detection As Target Oracle in Automated Fuzz Driver Generation

In vulnerability detection, machine learning has been used as an effective static analysis technique, although it suffers from a significant rate of false positives. Contextually, in vulnerability discovery, fuzzing has been used as an effective dynamic analysis technique, although it requires...

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

As large language models LLMs continue to evolve, it is critical to assess the security threats and vulnerabilities that may arise both during their training phase and after models have been deployed. This survey seeks to define and categorize the various attacks targeting LLMs, distinguishing...

The DCR Delusion: Measuring the Privacy Risk of Synthetic Data

Synthetic data has become an increasingly popular way to share data without revealing sensitive information. Though Membership Inference Attacks MIAs are widely considered the gold standard for empirically assessing the privacy of a synthetic dataset, practitioners and researchers often rely on...

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks

Hierarchical Federated Learning HFL has recently emerged as a promising solution for intelligent decision-making in vehicular networks, helping to address challenges such as limited communication resources, high vehicle mobility, and data heterogeneity. However, HFL remains vulnerable to...