8594 matches found
Cyberscurity Threats and Defense Mechanisms in IoT Network
The rapid proliferation of Internet of Things IoT technologies, projected to exceed 30 billion interconnected devices by 2030, has significantly escalated the complexity of cybersecurity challenges. This survey aims to provide a comprehensive analysis of vulnerabilities, threats, and defense...
Suricata: undisclosed vulnerability (ZAI-2026-1BN29C)
Not disclosed. Details are not yet publicly disclosed...
Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence
To resolve the acute problem of privacy protection and guarantee that data can be used in the context of threat intelligence, this paper considers the implementation of Differential Privacy DP in cybersecurity analytics. DP, which is a sound mathematical framework, ensures privacy by adding a...
CVE-2025-62116
Missing Authorization vulnerability in quadlayers AI Copilot ai-copilot allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects AI Copilot: from n/a through = 1.5.2...
Understanding Security Risks of AI Agents' Dependency Updates
Package dependencies are a critical control point in modern software supply chains. Dependency changes can substantially alter a project's security posture. As AI coding agents increasingly modify software via pull requests, it is unclear whether their dependency decisions introduce distinct...
Using AI-Generated Images to Get Refunds
Scammers are generating images of broken merchandise in order to apply for refunds...
2025 exposed the risks we ignored while rushing AI
This blog is part of a series where we highlight new or fast-evolving threats in the consumer security landscape. This one looks at how the rapid rise ofArtificial Intelligence AI is putting users at risk. In 2025 we saw an ever-accelerating race between AI providers to push out new features. We...
How to Integrate AI into Modern SOC Workflows
Artificial intelligence AI is making its way into security operations quickly, but many practitioners are still struggling to turn early experimentation into consistent operational value. This is because SOCs are adopting AI without an intentional approach to operational integration. Some teams...
Large Empirical Case Study: Go-Explore Adapted for AI Red Team Testing
Production LLM agents with tool-using capabilities require security testing despite their safety training. We adapt Go-Explore to evaluate GPT-4o-mini across 28 experimental runs spanning six research questions. We find that random-seed variance dominates algorithmic parameters, yielding an 8x...
Are We Ready to Be Governed by Artificial Intelligence?
Artificial Intelligence AI overlords are a common trope in science-fiction dystopias, but the reality looks much more prosaic. The technologies of artificial intelligence are already pervading many aspects of democratic government, affecting our lives in ways both large and small. This has occurr...
Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors
In December 2024, the popular Ultralytics AI library was compromised, installing malicious code that hijacked system resources for cryptocurrency mining. In August 2025, malicious Nx packages leaked 2,349 GitHub, cloud, and AI credentials. Throughout 2024, ChatGPT vulnerabilities allowed...
Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
The software supply chain attacks are becoming more and more focused on trusted development and delivery procedures, so the conventional post-build integrity mechanisms cannot be used anymore. The available frameworks like SLSA, SBOM and in toto are majorly used to offer provenance and traceabili...
Toward Trustworthy Agentic AI: A Multimodal Framework for Preventing Prompt Injection Attacks
Powerful autonomous systems, which reason, plan, and converse using and between numerous tools and agents, are made possible by Large Language Models LLMs, Vision-Language Models VLMs, and new agentic AI systems, like LangChain and GraphChain. Nevertheless, this agentic environment increases the...
Exploit for Cross-site Scripting in Exclusiveaddons Exclusive_Addons_For_Elementor
PoCSmith AI-Powered Proof-of-Concept Generator for Security...
CVE-2025-14687
IBM Db2 Intelligence Center 1.1.0, 1.1.1, 1.1.2 could allow an authenticated user to perform unauthorized actions due to client-side enforcement of sever side security mechanisms...
Exploit for Insufficient Type Distinction in Rarlab Winrar
CVE Exploit Finder Author: Your Name/Handle Focus: Automated V...
SCyTAG: Scalable Cyber-Twin for Threat-Assessment Based on Attack Graphs
Understanding the risks associated with an enterprise environment is the first step toward improving its security. Organizations employ various methods to assess and prioritize the risks identified in cyber threat intelligence CTI reports that may be relevant to their operations. Some methodologi...
CVE-2025-14687
IBM Db2 Intelligence Center 1.1.0, 1.1.1, 1.1.2 could allow an authenticated user to perform unauthorized actions due to client-side enforcement of sever side security mechanisms...
