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...

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...

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...

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...

MAI-2024-0059

Multimodal Large Language Models MLLMs operating within multi-agent environments are susceptible to a sophisticated attack known as "infectious jailbreak." This vulnerability is triggered by the introduction of a single adversarial image into the memory of one agent, which can rapidly propagate...

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...

Multi Agent System city. asp SQL injection vulnerability and fix-vulnerability warning-the black bar safety net

Author: R4dc0re Information Description: a Multi-Agent System of the city. asp the reason there may be the use ofSQL injectionis due to this file and there is insufficient filtering of user requests query caused. The use of this vulnerability may allow an attacker to use to the server application...

Rae Media Real Estate Multi Agent SQL Injection Vulnerability

Exploit for asp platform in category web applications 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 compromise the application, access or...

CVE-2010-4738: Improper Neutralization of Special Elements used in an SQL Command

Multiple SQL injection vulnerabilities in Rae Media INC Real Estate Single and Multi Agent System 3.0 allow remote attackers to execute arbitrary SQL commands via the probe parameter to 1 multi/city.asp in the Multi Agent System and 2 resulttype.asp in the Single Agent System...

Rae Media Real Estate Multi Agent SQL Injection

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 compromise the application, access or modify data, or exploit latent vulnerabilities in the...

PT-2011-1688

Name of the Vulnerable Software and Affected Versions Rae Media INC Real Estate Single and Multi Agent System version 3.0 Description The issue allows remote attackers to execute arbitrary SQL commands. This is achieved via the probe parameter to two specific API endpoints: "multi/city.asp" in th...