Why Organizations Need to Modify Their Cybersecurity Strategy for 2026

Cybersecurity planning continues to advance as organisations integrate new software, cloud platforms, and digital tools into nearly every…...

Security Risks of Agentic Vehicles: A Systematic Analysis of Cognitive and Cross-Layer Threats

Agentic AI is increasingly being explored and introduced in both manually driven and autonomous vehicles, leading to the notion of Agentic Vehicles AgVs, with capabilities such as memory-based personalization, goal interpretation, strategic reasoning, and tool-mediated assistance. While framework...

One Leak Away: How Pretrained Model Exposure Amplifies Jailbreak Risks in Finetuned LLMs

Finetuning pretrained large language models LLMs has become the standard paradigm for developing downstream applications. However, its security implications remain unclear, particularly regarding whether finetuned LLMs inherit jailbreak vulnerabilities from their pretrained sources. We investigat...

Permission Bypass

Jenkins Folder-based Authorization Strategy Plugin is vulnerable to Permission Bypass. The vulnerability is due to the plugin not verifying that permissions configured to be granted are enabled, where users formerly granted optional permissions can access functionality they're no longer entitled...

AIs Exploiting Smart Contracts

I have long maintained that smart contracts are a dumb idea: that a human process is actually a security feature. Here's some interesting research on training AIs to automatically exploit smart contracts: AI models are increasingly good at cyber tasks, as we've written about before. But what is t...

2025 CWE Top 25 Most Dangerous Software Weaknesses

The Cybersecurity and Infrastructure Security Agency CISA, in collaboration with the Homeland Security Systems Engineering and Development Institute HSSEDI, operated by the MITRE Corporation, has released the 2025 Common Weakness Enumeration CWE Top 25 Most Dangerous Software Weaknesseslink is...

ColumnPack:ColumnPack-plugin (=1.0.3), CustomHistory:CustomHistory (>=1.1 <=1.3) +1887 more potentially affected by CVE-2025-67635 via org.jenkins-ci.main:cli (>=1.396 <=2.528.2)

org.jenkins-ci.main:cli MAVEN version =1.396, =1.1, =0.0.1, =1.0, =55.v51410e712e0c, =1.0, =0.0.1, =0.1.0, =1.0, =0.9, =1.3, =1.23 and more Source cves: CVE-2025-67635 Source advisory: OSV:GHSA-9P56-P6MW-W8QC...

RunawayEvil: Jailbreaking the Image-To-Video Generative Models

Image-to-Video I2V generation synthesizes dynamic visual content from image and text inputs, providing significant creative control. However, the security of such multimodal systems, particularly their vulnerability to jailbreak attacks, remains critically underexplored. To bridge this gap, we...

Elevate Your Cloud Security Strategy

Learn to elevate your cloud security strategy & overcome complexity with Vision One™...

BrowseSafe: Understanding and Preventing Prompt Injection within AI Browser Agents

The integration of artificial intelligence AI agents into web browsers introduces security challenges that go beyond traditional web application threat models. Prior work has identified prompt injection as a new attack vector for web agents, yet the resulting impact within real-world environments...

The Battle of Metasurfaces: Understanding Security in Smart Radio Environments

Metasurfaces, or Reconfigurable Intelligent Surfaces RISs, have emerged as a transformative technology for next-generation wireless systems, enabling digitally controlled manipulation of electromagnetic wave propagation. By turning the traditionally passive radio environment into a smart,...

MAL-2025-55431 Malicious code in budi-getas32-sukiwir (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 9d791645d5e9e39699044ef5d9437ef369f2620eea9e0a8c339ac7b3d43d4047 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

Your Guide to Risk-Based Vulnerability Management

Communicating security needs to leadership can be a challenge when you’re just presenting a long list of technical flaws. The conversation shifts when you can talk about risk in clear business terms. Instead of saying "we have 500 critical vulnerabilities," you can say "we have 15 vulnerabilities...

AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models

Large Language Models LLMs remain vulnerable to jailbreaking attacks where adversarial prompts elicit harmful outputs, yet most evaluations focus on single-turn interactions while real-world attacks unfold through adaptive multi-turn conversations. We present AutoAdv, a training-free framework fo...

Discover the 3 Stages of Cloud Maturity by Taking Our Quiz

Discover the three stages of the cloud maturity model and learn how cloud adoption, strategy, and security drive digital transformation...

A DRL-Empowered Multi-Level Jamming Approach for Secure Semantic Communication

Semantic communication SemCom aims to transmit only task-relevant information, thereby improving communication efficiency but also exposing semantic information to potential eavesdropping. In this paper, we propose a deep reinforcement learning DRL-empowered multi-level jamming approach to enhanc...

EUVD-2025-36617

Missing Authorization vulnerability in Strategy11 Team Business Directory business-directory-plugin allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Business Directory: from n/a through = 6.4.18...

AI for the Financial Sector: How Strategy Consulting Helps You Navigate Risk

The financial industry is transforming as artificial intelligence AI is becoming an integral tool for managing operations, improving…...

Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses

Multimodal large language models MLLMs comprise of both visual and textual modalities to process vision language tasks. However, MLLMs are vulnerable to security-related issues, such as jailbreak attacks that alter the model's input to induce unauthorized or harmful responses. The incorporation o...

Sensing Security in Near-Field ISAC: Exploiting Scatterers for Eavesdropper Deception

In this paper, we explore sensing security in near-field NF integrated sensing and communication ISAC scenarios by exploiting known scatterers in the sensing scene. We propose a location deception LD scheme where scatterers are deliberately illuminated with probing power that is higher than that...