1309 matches found
PT-2026-3399
A security vulnerability has been detected in lwj flow up to a3d2fe8133db9d3b50fda4f66f68634640344641. This affects the function uploadFile of the file flow-masterflow-front-restsrcmainjavacomdragonflowwebresourceflowFormResource.java of the component SVG File Handler. The manipulation of the...
Enshittification is ruining everything online (Lock and Code S07E01)
This week on the Lock and Code podcast … There's a bizarre thing happening online right now where everything is getting worse. Your Google results have become so bad that you’ve likely typed what you’re looking for, plus the word “Reddit,” so you can find discussion from actual humans. If you...
EUVD-2025-206019
Missing Authorization vulnerability in Strategy11 Team Tasty Recipes Lite allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Tasty Recipes Lite: from n/a through 1.1.5...
Discovering the Dimensions of a New Cold War
The United States’ plan for dealing with Putin’s Russia and Xi’s China remains ill-defined among a shifting global order. That must change...
When Risk Is Fragmented, Strategy Suffers
Risk fragmentation remains one of the most overlooked barriers to effective business performance. It doesn’t show up all…...
EquaCode: A Multi-Strategy Jailbreak Approach for Large Language Models Via Equation Solving and Code Completion
Large language models LLMs, such as ChatGPT, have achieved remarkable success across a wide range of fields. However, their trustworthiness remains a significant concern, as they are still susceptible to jailbreak attacks aimed at eliciting inappropriate or harmful responses. However, existing...
From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software
LLMs democratize software engineering by enabling non-programmers to create applications, but this same accessibility fundamentally undermines security assumptions that have guided software engineering for decades. We show in this work how publicly available LLMs can be socially engineered to...
SemCovert: Secure and Covert Video Transmission Via Deep Semantic-Level Hiding
Video semantic communication, praised for its transmission efficiency, still faces critical challenges related to privacy leakage. Traditional security techniques like steganography and encryption are challenging to apply since they are not inherently robust against semantic-level transformations...
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) +1886 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,...