Securing Autonomous Vehicle Systems Via Twin-Aware Federated Reinforcement Learning

Federated reinforcement learning FRL is crucial for enabling collaborative learning across multiple agents without sharing raw data, thereby enhancing privacy and scalability in the decision-making process within dynamic vehicular environments. However, poisoning attacks pose a significant threat...

SUSE CVE-2026-53068

In the Linux kernel, the following vulnerability has been resolved: drm/komeda: fix integer overflow in AFBC framebuffer size check The AFBC framebuffer size validation calculates the minimum required buffer size by adding the AFBC payload size to the framebuffer offset. This addition is performe...

Astra Linux – Vulnerability found in Linux 6.12, Linux 6.1

In the Linux kernel, the following vulnerabilities have been resolved: Futex: Do not leak the robustlist pointer during the exec race condition. The functions sysgetrobustlist and compatgetrobustlist use ptracemayaccess to check whether the calling task is allowed to access another task’s...

ViPER: Vision-Based Packing-Aware Encoder for Robust Malware Detection

Visualization-based malware detection maps raw binary bytes to grayscale images and applies learned visual classifiers, providing an evasion-resistant and disassembly-free alternative to conventional analysis pipelines. However, executable packing remains a critical failure mode: packed binaries...

OESA-2026-2568 wireshark security update

Wireshark allows you to examine protocol data stored in files or as it is captured from wired or wireless WiFi or Bluetooth networks, USB devices, and many other sources. It supports dozens of protocol capture file formats and understands more than a thousand protocols. Security Fixes: ROHC...

CVE-2026-9759

A flaw was found in the ROHC dissector in Wireshark. This issue occurs when malformed packets are decoded from a pcap file or the network, causing a NULL pointer dereference, resulting in a denial of service. Mitigation If the ROHC protocol dissector is not being used, it can be disabled via the...

OESA-2026-2481 wireshark security update

Wireshark allows you to examine protocol data stored in files or as it is captured from wired or wireless WiFi or Bluetooth networks, USB devices, and many other sources. It supports dozens of protocol capture file formats and understands more than a thousand protocols. Security Fixes: ROHC...

SUSE CVE-2026-9759

ROHC protocol dissector crash in Wireshark 4.6.0 to 4.6.5 and 4.4.0 to 4.4.15 allows denial of service...

UBUNTU-CVE-2026-9759

ROHC protocol dissector crash in Wireshark 4.6.0 to 4.6.5 and 4.4.0 to 4.4.15 allows denial of service...

CVE-2026-9759

ROHC protocol dissector crash in Wireshark 4.6.0 to 4.6.5 and 4.4.0 to 4.4.15 allows denial of service...

CVE-2026-9759

ROHC protocol dissector crash in Wireshark 4.6.0 to 4.6.5 and 4.4.0 to 4.4.15 allows denial of service...

EUVD-2026-32629

ROHC protocol dissector crash in Wireshark 4.6.0 to 4.6.5 and 4.4.0 to 4.4.15 allows denial of service...

CVE-2026-9759 NULL Pointer Dereference in Wireshark

ROHC protocol dissector crash in Wireshark 4.6.0 to 4.6.5 and 4.4.0 to 4.4.15 allows denial of service...

Wireshark code-related vulnerabilities

Wireshark is a set of network packet analysis tools developed by the Wireshark team. The software’s function is to capture network packets and display detailed data for analysis. Versions of Wireshark from 4.6.0 to 4.6.5, as well as 4.4.0 to 4.4.15, have code vulnerabilities that can lead to a...

Measuring Security without Fooling Ourselves: Why Benchmarking Agents Is Hard

The benchmarks used to evaluate AI agents in security-critical roles suffer from crucial weaknesses. Building on recent empirical evidence, we characterize three core challenges that undermine security evaluations: benchmark vulnerabilities, temporal staleness, and runtime uncertainty. We then...

Information Theoretic Adversarial Training of Large Language Models

Large language models LLMs remain vulnerable to adversarial prompting despite advances in alignment and safety, often exhibiting harmful behaviors under novel attack strategies. While adversarial training can improve robustness, existing approaches are computationally expensive and difficult to...

Exploit for Missing Authentication for Critical Function in Cpanel

cPanel-CVE-2026-41940-Scanner !Licensehttps://img.shields...

Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems

Deploying an intrusion detector trained in one industrial plant to another remains difficult because Industrial Control System ICS traffic is highly site-dependent, labels are scarce, and unseen attacks often appear after deployment. To address this challenge, this paper introduces a medoid...

Structured Security Auditing and Robustness Enhancement for Untrusted Agent Skills

Agent Skills package SKILL.md files, scripts, reference documents, and repository context into reusable capability units, turning pre-load auditing from single-prompt filtering into cross-file security review. Existing guardrails often flag risk but recover malicious intent inconsistently under...

Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset

Android malware detectors built with machine learning often suffer from temporal bias: models are trained and evaluated without respecting apps' actual release times, inflating accuracy and weakening real-world robustness. We address this by constructing a time-stamped dataset of benign and...