A Novel Solution for Zero-Day Attack Detection in IDS Using Self-Attention and Jensen-Shannon Divergence in WGAN-GP

The increasing sophistication of cyber threats, especially zero-day attacks, poses a significant challenge to cybersecurity. Zero-day attacks exploit unknown vulnerabilities, making them difficult to detect and defend against. Existing approaches patch flaws and deploy an Intrusion Detection Syst...

Measuring and Exploiting Confirmation Bias in LLM-Assisted Security Code Review

Security code reviews increasingly rely on systems integrating Large Language Models LLMs, ranging from interactive assistants to autonomous agents in CI/CD pipelines. We study whether confirmation bias i.e., the tendency to favor interpretations that align with prior expectations affects LLM-bas...

CVE-2026-28500

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...

UBUNTU-CVE-2026-28500

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...

CPython 安全漏洞

CPython is a Python interpreter implemented in C language by the Python Foundation. CPython has security vulnerabilities, which stem from unvalidated resource parameters, potentially leading to path traversal attacks...

Defending the Power Grid by Segmenting the EV Charging Cyber Infrastructure

This paper examines defending the power grid against load-altering attacks using electric vehicle charging. It proposes to preventively segment the cyber infrastructure that charging station operators CSOs use to communicate with and control their charging stations, thereby limiting the impact of...

ONNX 安全漏洞

ONNX Open Neural Network Exchange is an open standard for machine learning interoperability, developed under the ONNX open source framework. Versions of ONNX prior to 1.20.1 contain security vulnerabilities. These vulnerabilities stem from improper logic in the repository trust verification...

Linux kernel 安全漏洞

The Linux kernel is the kernel used by the Linux operating system developed by the Linux Foundation in the United States. There is a security vulnerability in the Linux kernel, which stems from the ability of unauthorized local users to manage privileged policies through obfuscated proxy attacks,...

EulerOS Virtualization 2.13.1 : unbound (EulerOS-SA-2026-1642)

According to the versions of the unbound packages installed, the EulerOS Virtualization installation on the remote host is affected by the following vulnerabilities : NLnet Labs Unbound up to and including version 1.24.0 is vulnerable to possible domain hijack attacks. Promiscuous NS RRSets that...

Security update for kea

This update for kea fixes the following issues: Update to release 2.6.3 bsc1243240: CVE-2025-32801: Loading a malicious hook library can lead to local privilege escalation. CVE-2025-32802: Insecure handling of file paths allows multiple local attacks. CVE-2025-32803: Insecure file permissions can...

Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation

Semantic segmentation models are widely deployed in safety-critical applications such as autonomous driving, yet their vulnerability to backdoor attacks remains largely underexplored. Prior segmentation backdoor studies transfer threat settings from existing image classification tasks, focusing...

Detecting Data Poisoning in Code Generation LLMs Via Black-Box, Vulnerability-Oriented Scanning

Code generation large language models LLMs are increasingly integrated into modern software development workflows. Recent work has shown that these models are vulnerable to backdoor and poisoning attacks that induce the generation of insecure code, yet effective defenses remain limited. Existing...

ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain Attack

What's the issue Passing silent=True to onnx.hub.load kills all trust warnings and user prompts. This means a model can be downloaded from any unverified GitHub repo with zero user awareness. python if not verifyreporefrepo and not silent: completely skipped when silent=True print"The model repo...

EUVD-2025-208733

HCL AION is affected by a vulnerability where internal filesystem paths may be exposed through application responses or system behaviour. Exposure of internal paths may reveal environment structure details which could potentially aid in further targeted attacks or information disclosure...

SAMSUNG Smart Switch 安全漏洞

SAMSUNG Smart Switch is a data migration tool developed by South Korea’s Samsung Corporation. Versions of SAMSUNG Smart Switch prior to 3.7.69.15 contained security vulnerabilities. These vulnerabilities were caused by replay attacks that allowed authentication bypasses, potentially allowing remo...

From Storage to Steering: Memory Control Flow Attacks on LLM Agents

Modern agentic systems allow Large Language Model LLM agents to tackle complex tasks through extensive tool usage, forming structured control flows of tool selection and execution. Existing security analyses often treat these control flows as ephemeral, one-off sessions, overlooking the persisten...

EulerOS 2.0 SP11 : python-pip (EulerOS-SA-2026-1590)

According to the versions of the python-pip packages installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : When extracting a tar archive pip may not check symbolic links point into the extraction directory if the tarfile module doesn't implement PEP...

Why Most DDoS Protection Fails: Solving for Continuity and Resilience

Most organisations assume DDoS Distributed denial of service protection is a box they’ve already ticked. If traffic spikes or an attack starts, the thinking goes, their provider will absorb it and move on. But in the real world it can be a different story. Many incidents aren’t caused by the scal...

Exploit for Code Injection in Unicode

codescan Fast, configurable code security scanner written in...

Experimental Evaluation of Security Attacks on Self-Driving Car Platforms

Deep learning-based perception pipelines in autonomous ground vehicles are vulnerable to both adversarial manipulation and network-layer disruption. We present a systematic, on-hardware experimental evaluation of five attack classes: FGSM, PGD, man-in-the-middle MitM, denial-of-service DoS, and...