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...

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...

Wireshark 代码问题漏洞

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...

Astra Linux - уязвимость в 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...

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...

Robust Semi-Supervised Temporal Intrusion Detection for Adversarial Cloud Networks

Cloud networks increasingly rely on machine learning based Network Intrusion Detection Systems to defend against evolving cyber threats. However, real-world deployments are challenged by limited labeled data, non-stationary traffic, and adaptive adversaries. While semi-supervised learning can...

Conflict-Aware Robust Design for Covert Wireless Communications

Covert wireless communication aims to establish a reliable link while hiding the transmission from an adversary. In wireless settings, uncertainty plays a central role in this tradeoff: it can help mask the signal from a warden, but it also complicates robust system design. This raises a basic...

Targeted Adversarial Traffic Generation : Black-Box Approach to Evade Intrusion Detection Systems in IoT Networks

The integration of machine learning ML algorithms into Internet of Things IoT applications has introduced significant advantages alongside vulnerabilities to adversarial attacks, especially within IoT-based intrusion detection systems IDS. While theoretical adversarial attacks have been extensive...

Robust Provably Secure Image Steganography Via Latent Iterative Optimization

We propose a robust and provably secure image steganography framework based on latent-space iterative optimization. Within this framework, the receiver treats the transmitted image as a fixed reference and iteratively refines a latent variable to minimize the reconstruction error, thereby improvi...

TraceGuard: Process-Guided Firewall against Reasoning Backdoors in Large Language Models

The deployment of Large Reasoning Models LRMs in high-stakes decision-making pipelines has introduced a novel and opaque attack surface: reasoning backdoors. In these attacks, the model's intermediate Chain-of-Thought CoT is manipulated to provide a linguistically plausible but logically fallacio...

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...