Langflow Chatbot Detected

This is an informational plugin to inform the user that the scanner has detected a publicly accessible Langflow chatbot on the target application. Langflow is an open-source visual framework for building multi-agent and RAG. This detection is included in the AI and LLM category. No source data...

ATAG: AI-Agent Application Threat Assessment with Attack Graphs

Evaluating the security of multi-agent systems MASs powered by large language models LLMs is challenging, primarily because of the systems' complex internal dynamics and the evolving nature of LLM vulnerabilities. Traditional attack graph AG methods often lack the specific capabilities to model...

A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control

Traditional Identity and Access Management IAM systems, primarily designed for human users or static machine identities via protocols such as OAuth, OpenID Connect OIDC, and SAML, prove fundamentally inadequate for the dynamic, interdependent, and often ephemeral nature of AI agents operating at...

MultiPhishGuard: an LLM-Based Multi-Agent System for Phishing Email Detection

Phishing email detection faces critical challenges from evolving adversarial tactics and heterogeneous attack patterns. Traditional detection methods, such as rule-based filters and denylists, often struggle to keep pace with these evolving tactics, leading to false negatives and compromised...

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks

Large language models LLMs have achieved remarkable capabilities but remain vulnerable to adversarial prompts known as jailbreaks, which can bypass safety alignment and elicit harmful outputs. Despite growing efforts in LLM safety research, existing evaluations are often fragmented, focused on...

CoTGuard: Using Chain-Of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems

As large language models LLMs evolve into autonomous agents capable of collaborative reasoning and task execution, multi-agent LLM systems have emerged as a powerful paradigm for solving complex problems. However, these systems pose new challenges for copyright protection, particularly when...

CVE-2025-0921 Information Tampering Vulnerability in Multiple Services of GENESIS64, ICONICS Suite, MobileHMI, Hyper Historian, AnalytiX, IoTWorX, MC Works64, GENESIS, GENESIS32, and BizViz

Execution with Unnecessary Privileges vulnerability in multiple services of Mitsubishi Electric GENESIS64 versions 10.97.3 and prior, Mitsubishi Electric ICONICS Suite versions 10.97.3 and prior, Mitsubishi Electric MobileHMI versions 10.97.3 and prior, Mitsubishi Electric Hyper Historian version...

CVE-2025-0921

CVE-2025-0921 describes an execution with unnecessary privileges vulnerability in Mitsubishi Electric GENESIS64 (and related ICONICS GENESIS64/GENESIS32/BizViz/MC Works64) across multiple versions. The root cause is an unauthorized write to arbitrary files via symbolic links created by a write de...

CVE-2025-0921 Information Tampering Vulnerability in Multiple Services of GENESIS64, ICONICS Suite, MobileHMI, Hyper Historian, AnalytiX, IoTWorX, MC Works64, GENESIS, GENESIS32, and BizViz

Execution with Unnecessary Privileges vulnerability in multiple services of Mitsubishi Electric GENESIS64 versions 10.97.3 and prior, Mitsubishi Electric ICONICS Suite versions 10.97.3 and prior, Mitsubishi Electric MobileHMI versions 10.97.3 and prior, Mitsubishi Electric Hyper Historian version...

ThreatLens: LLM-Guided Threat Modeling and Test Plan Generation for Hardware Security Verification

Current hardware security verification processes predominantly rely on manual threat modeling and test plan generation, which are labor-intensive, error-prone, and struggle to scale with increasing design complexity and evolving attack methodologies. To address these challenges, we propose...

An LLM-Based Self-Evolving Security Framework for 6G Space-Air-Ground Integrated Networks

Recently emerged 6G space-air-ground integrated networks SAGINs, which integrate satellites, aerial networks, and terrestrial communications, offer ubiquitous coverage for various mobile applications. However, the highly dynamic, open, and heterogeneous nature of SAGINs poses severe security...

Safeguard-By-Development: a Privacy-Enhanced Development Paradigm for Multi-Agent Collaboration Systems

Multi-agent collaboration systems MACS, powered by large language models LLMs, solve complex problems efficiently by leveraging each agent's specialization and communication between agents. However, the inherent exchange of information between agents and their interaction with external...

Large Language Models Are Autonomous Cyber Defenders

Fast and effective incident response is essential to prevent adversarial cyberattacks. Autonomous Cyber Defense ACD aims to automate incident response through Artificial Intelligence AI agents that plan and execute actions. Most ACD approaches focus on single-agent scenarios and leverage...

CAMEL - The First And The Best Multi-Agent Framework. Finding The Scaling Law Of Agents

🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various type...

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

Whitepaper called Open Challenges In Multi-Agent Security: Towards Secure Systems Of Interacting AI Agents...

Automating Function-Level TARA for Automotive Full-Lifecycle Security

As modern vehicles evolve into intelligent and connected systems, their growing complexity introduces significant cybersecurity risks. Threat Analysis and Risk Assessment TARA has therefore become essential for managing these risks under mandatory regulations. However, existing TARA automation...

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-Based Multi-Agent Debate

Multi-Agent Debate MAD, leveraging collaborative interactions among Large Language Models LLMs, aim to enhance reasoning capabilities in complex tasks. However, the security implications of their iterative dialogues and role-playing characteristics, particularly susceptibility to jailbreak attack...

The Chronicles of Foundation AI for Forensics of Multi-Agent Provenance

Provenance is the chronology of things, resonating with the fundamental pursuit to uncover origins, trace connections, and situate entities within the flow of space and time. As artificial intelligence advances towards autonomous agents capable of interactive collaboration on complex tasks, the...

Langflow 安全漏洞

Langflow is Langflow open source a visualization framework for building multi-agent and RAG applications . A remote code execution vulnerability exists in Langflow that can be exploited by an attacker to send a crafted HTTP request to execute arbitrary code...

Rae Media Real Estate Multi Agent SQL Injection Vulnerability

No description provided by source. Source: http://www.securityfocus.com/bid/45212/discuss Multi Agent System is prone to an SQL-injection vulnerability because it fails to sufficiently sanitize user-supplied data before using it in an SQL query. Exploiting this issue could allow an attacker to...