CVE-2026-46150

The CVE-2026-46150 issue affects the Linux kernel fanotify subsystem. It arises because fsnotify_get_mark_safe() may return false for a mark in an unrelated group, bypassing the permission check. The fix patches the logic to skip detached marks that are not in the current group, mitigating the by...

CVE-2026-46150 fanotify: fix false positive on permission events

In the Linux kernel, the following vulnerability has been resolved: fanotify: fix false positive on permission events fsnotifygetmarksafe may return false for a mark on an unrelated group, which results in bypassing the permission check. Fix by skipping over detached marks that are not in the...

SUSE CVE-2026-45942

In the Linux kernel, the following vulnerability has been resolved: ext4: fix e4b bitmap inconsistency reports A bitmap inconsistency issue was observed during stress tests under mixed huge-page workloads. Ext4 reported multiple e4b bitmap check failures like: ext4mbcomplexscangroup:2508: group...

Linux kernel 安全漏洞

The Linux kernel is the core of the open-source operating system Linux, developed by the Linux Foundation in the United States. There is a security vulnerability in the Linux kernel, which stems from the function fsnotifygetmarksafe in fanotify. This function may return false positives for...

CVE-2026-45942

In the Linux kernel, the following vulnerability has been resolved: ext4: fix e4b bitmap inconsistency reports A bitmap inconsistency issue was observed during stress tests under mixed huge-page workloads. Ext4 reported multiple e4b bitmap check failures like: ext4mbcomplexscangroup:2508: group...

CVE-2026-45942

Summary of CVE-2026-45942 : A race condition in the Linux kernel ext4 bitmap handling enables inconsistent bitmap reporting due to concurrent page migration and bitmap modification in the load_buddy path. The root cause is that the fast load_buddy path only increments the folio refcount and can o...

PT-2026-43809

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A race condition exists in the ext4 file system between page migration and bitmap modification during mixed huge-page workloads. The issue occurs because the fast path of the load buddy...

The Alert Firehose Finally Meets Its Match

Ask a cybersecurity pro about Network Detection and Response NDR and you might still hear "Noisy," "Too much data." But ask the teams running NDR that includes agentic AI capabilities and you'll hear they're actually using it to catch threats earlier, triage faster, and chase fewer false positive...

On Reliability of Efficient Membership Inference Vulnerability Evaluation

Membership inference attacks MIAs are popular methods for empirically assessing the leakage of sensitive information in the training data through models or statistics learned from the data. The MIA vulnerability is often evaluated through false positive rate FPR and true positive rate TPR of a...

Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks

We evaluate whether frontier LLMs are ready for cybersecurity through a dual-mode benchmark: white-box function-level vulnerability detection VulnLLM-R, across C/Java/Python and black-box web application security testing five production-style applications with 118 ground-truth vulnerabilities...

Astra Linux – Vulnerability in Linux 6.1

In the Linux kernel, the following vulnerability has been resolved: nfsd: fixed RELEASELOCKOWNER The test on socount in nfsd4releaselockowner is pointless and harmful. revert to using checkforlocks, and change it to not sleep. Firstly, it’s harmful. As documented in the kdoc comment for...

ADR: An Agentic Detection System for Enterprise Agentic AI Security

We present the Agentic AI Detection and Response ADR system, the first large-scale, production-proven enterprise framework for securing AI agents operating through the Model Context Protocol MCP. We identify three persistent challenges in this domain: 1 limited observability -- existing Endpoint...

WARD: Adversarially Robust Defense of Web Agents against Prompt Injections

Web agents can autonomously complete online tasks by interacting with websites, but their exposure to open web environments makes them vulnerable to prompt injection attacks embedded in HTML content or visual interfaces. Existing guard models still suffer from limited generalization to unseen...

Characterizing AI-Assisted Bot Traffic in Darknet Data: Implications for ICS and IIoT Security

The rise of automated scanning tools and AI assisted reconnaissance agents has significantly altered internet background traffic patterns, threatening the baseline assumptions underlying intrusion detection systems IDS deployed in critical infrastructure networks. This paper characterizes the...

Official Clerk JavaScript SDKs 代码问题漏洞

The Official Clerk JavaScript SDKs are an open-source repository for Clerk authentication purposes. These SDKs have code vulnerabilities that can lead to false positives during authorization checks. This occurs when functions like has and auth.protect, along with related authorization predicates,...

Securing the Dark Matter: A Semantic-Enhanced Neuro-Symbolic Framework for Supply Chain Analysis of Opaque Industrial Software

Automated vulnerability detection in critical-infrastructure software confronts a fundamental barrier: industrial software is routinely deployed as stripped, symbol-free binaries that deprive conventional Software Composition Analysis of the source-level transparency it requires. Existing binary...

alika-vuln-shield

Vuln Shield Fast container vulnerability scanner that filters...

Evolution of Log-Based Detection Rules in Public Repositories

Log-based detection rules remain central to modern security operations, encoding domain expertise that analysts iteratively refine to balance detection coverage against alert volume. Yet while prior work has examined the evolution of network intrusion detection signatures, the longitudinal behavi...

Rayhunter IMSI Catcher Detector

Rayhunter is a project for detecting IMSI catchers, also known as cell-site simulators or stingrays. It was first designed to run on a cheap mobile hotspot called the Orbic RC400L, but thanks to community efforts, it can support some other devices as well. It's also designed to be as easy to...

QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing

Static Application Security Testing tools help developers find security vulnerabilities before release, but they often produce many false positives. This increases manual review effort, reduces developer trust, and may cause real vulnerabilities to be ignored among noisy reports. We present...