AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses

Ensuring the protection of Artificial Intelligence AI models deployed in military Command and Control C2 systems and critical infrastructure is essential for maintaining information superiority. Model Extraction Attacks MEAs pose a significant threat, as they enable adversaries to replicate...

Operationalizing Cyber Attack Prediction: A Gap-Prioritized Framework with Dataset and Model Selection Guidelines

While AI and machine learning for cyber attack prediction have advanced, a critical gap persists between theoretical research and practical operational deployment. Building on Ankalaki et al. 2025, this paper provides a comprehensive analysis of 150+ benchmark datasets and 200+ studies to identif...

Backdoor Unlearning Generalization: A Path toward the Removal of Unknown Triggers in LLMs

Backdoor attacks in Large Language Models LLMs are a growing security concern, where models can generate adversary-chosen content. Existing defenses target backdoors one at a time and typically require knowledge of the trigger, leaving the defender at a structural disadvantage when unknown...

snyk-agentic-appsec-poc

Snyk Agentic AppSec POC Proof of concept demonstrating autono...

EUVD-2026-33597

A bug in the login redirect route in Apache Airflow allowed authenticated users to craft URLs that bypassed the issafeurl check, enabling redirection from a trusted Airflow domain to an attacker-controlled origin. Users are advised to upgrade to apache-airflow 3.2.2 or later. As a defense-in-dept...

Patcher: Post-Hoc Patching of Backdoored Large Language Models

Large language models remain vulnerable to jailbreak backdoor attacks, where adversaries poison safety alignment data to embed hidden triggers that bypass safety mechanisms. Existing defenses often require comprehensive attack information or multiple triggered examples, making them impractical wh...

Defenses and Enablers for Skill Injection Attacks on Terminal Based Agents

Large language model LLM agents increasingly rely on reusable skills i.e. documents describing task-specific procedures. However, this introduces a new attack surface for agents to manage. We study two complementary directions for this threat. First, we evaluate guardian-based defenses: an...

vm2 setup-sandbox.js violates Defense Invariant #11 in stack-trace formatter

Summary defaultSandboxPrepareStackTrace in lib/setup-sandbox.js lines 605, 607 appends to a fresh sandbox-realm lines = via lineslines.length = value. This is the exact invariant-violating pattern that GHSA-9qj6-qjgg-37qq commit ca195f0, 2026-05-01 just patched in neutralizeArraySpeciesBatch and...

GHSA-Q3FM-4WCW-G57X vm2 setup-sandbox.js violates Defense Invariant #11 in stack-trace formatter

Summary defaultSandboxPrepareStackTrace in lib/setup-sandbox.js lines 605, 607 appends to a fresh sandbox-realm lines = via lineslines.length = value. This is the exact invariant-violating pattern that GHSA-9qj6-qjgg-37qq commit ca195f0, 2026-05-01 just patched in neutralizeArraySpeciesBatch and...

Microsoft is named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection

As threats become more coordinated and faster to execute, endpoint protection has become the proving ground for modern defense. For the seventh consecutive time, Microsoft has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection. We believe this reflects both the...

Microsoft is named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection

As threats become more coordinated and faster to execute, endpoint protection has become the proving ground for modern defense. For the seventh consecutive time, Microsoft has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection. We believe this reflects both the...

BadBone: Backdoor Attacks against Backbone Models in Visual Prompt Learning

Prompt learning is a new machine learning paradigm that has attracted ample attention due to its simplicity and proven efficacy. Despite its growing adoption, the security vulnerabilities associated with this paradigm remain underexplored. In this work, we take the first step to propose BadBone, ...

PT-2026-47577

Summary defaultSandboxPrepareStackTrace in lib/setup-sandbox.js lines 605, 607 appends to a fresh sandbox-realm lines = via lineslines.length = value. This is the exact invariant-violating pattern that GHSA-9qj6-qjgg-37qq commit ca195f0, 2026-05-01 just patched in neutralizeArraySpeciesBatch and...

Stochastic Analysis of Cybersecurity Defense Strategies under Single Attack Scenario

This research presents a novel stochastic framework for proactive cybersecurity defense timing under a single attack scenario. The approach models the defense process as a continuous observation mechanism in which the defense instant and the subsequent observation slot follow independent...

CVE-2026-46116

In the Linux kernel, the following vulnerability has been resolved: xfrm: defensively unhash xfrmstate lists in xfrmstatedelete KASAN reproduces a slab-use-after-free in xfrmstatedelete's hlistdelrcu calls under syzkaller load on linux-6.12.y stable reproduced on 6.12.47, also reachable via the...

KMW CCTV Security Cameras

ADVISORY SUMMARY Successful exploitation of this vulnerability may grant full unauthorized access to camera feeds and settings. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability. Minimize network exposure for all...

MacGregor Voyage Data Recorder (VDR) G4e

ADVISORY SUMMARY Successful exploitation of these vulnerabilities could result in an attacker gaining administrator access to the device. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities. Minimize network...

Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms

The need for secure and private Artificial Intelligence AI and Machine Learning ML on edge and mobile devices has increased the necessity of protecting the architecture of these systems from threats to both security and privacy. With an ever-increasing number of pre-trained AI models being used o...

Exploit for CVE-2026-0211

ISU-SecOps Nginx QUIC RCE Lab Modern web sunucularındaki Ngi...

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...