AURA: a Multi-Agent Intelligence Framework for Knowledge-Enhanced Cyber Threat Attribution

Effective attribution of Advanced Persistent Threats APTs increasingly hinges on the ability to correlate behavioral patterns and reason over complex, varied threat intelligence artifacts. We present AURA Attribution Using Retrieval-Augmented Agents, a multi-agent, knowledge-enhanced framework fo...

Securing Generative AI Agentic Workflows: Risks, Mitigation, and a Proposed Firewall Architecture

Generative Artificial Intelligence GenAI presents significant advancements but also introduces novel security challenges, particularly within agentic workflows where AI agents operate autonomously. These risks escalate in multi-agent systems due to increased interaction complexity. This paper...

OSSEC HIDS agent for Windows 安全漏洞

OSSEC HIDS agent for Windows is an OSSEC open source intrusion detection system for windows. A security vulnerability exists in OSSEC HIDS agent for Windows prior to version 3.8.0 that stems from improper input validation and could lead to remote code execution or elevation of privilege...

Important: amazon-ssm-agent

Issue Overview: SSH servers which implement file transfer protocols are vulnerable to a denial of service attack from clients which complete the key exchange slowly, or not at all, causing pending content to be read into memory, but never transmitted. CVE-2025-22869 Affected Packages:...

Important: amazon-ssm-agent

Issue Overview: SSH servers which implement file transfer protocols are vulnerable to a denial of service attack from clients which complete the key exchange slowly, or not at all, causing pending content to be read into memory, but never transmitted. CVE-2025-22869 Affected Packages:...

Missing Authentication for Critical Function

Overview Affected versions of this package are vulnerable to Missing Authentication for Critical Function due to missing authentication in the registration feature. An attacker with a registered user account can create user accounts that can access private data even when registration is disabled...

Improperly Implemented Security Check for Standard

Overview Affected versions of this package are vulnerable to Improperly Implemented Security Check for Standard due to the exposure of sensitive data in active sessions. An attacker can retrieve credentials for users on the management platform by exploiting this vulnerability. Note: The maintaine...

Missing Authorization

Overview Affected versions of this package are vulnerable to Missing Authorization due to improper security controls. An attacker can gain unauthorized access and control over active sessions by exploiting this security oversight. Note: The maintainers of BackendAI do not consider this report to...

Important: amazon-ssm-agent

Issue Overview: SSH servers which implement file transfer protocols are vulnerable to a denial of service attack from clients which complete the key exchange slowly, or not at all, causing pending content to be read into memory, but never transmitted. CVE-2025-22869 Affected Packages:...

Amazon Linux AMI : amazon-ssm-agent (ALAS-2025-1982)

The version of amazon-ssm-agent installed on the remote host is prior to 3.3.2299.0-1. It is, therefore, affected by a vulnerability as referenced in the ALAS-2025-1982 advisory. SSH servers which implement file transfer protocols are vulnerable to a denial of service attack from clients which...

MalGEN: a Generative Agent Framework for Modeling Malicious Software in Cybersecurity

The dual use nature of Large Language Models LLMs presents a growing challenge in cybersecurity. While LLM enhances automation and reasoning for defenders, they also introduce new risks, particularly their potential to be misused for generating evasive, AI crafted malware. Despite this emerging...

MARVEL: Multi-Agent RTL Vulnerability Extraction Using Large Language Models

Hardware security verification is a challenging and time-consuming task. For this purpose, design engineers may utilize tools such as formal verification, linters, and functional simulation tests, coupled with analysis and a deep understanding of the hardware design being inspected. Large Languag...

From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense against DoS Attacks in UAV Swarm Networks

The proliferation of unmanned aerial vehicle UAV swarms has enabled a wide range of mission-critical applications, but also exposes UAV networks to severe Denial-of-Service DoS threats due to their open wireless environment, dynamic topology, and resource constraints. Traditional static or...

CVE-2025-48959

Local privilege escalation due to insecure file permissions. The following products are affected: Acronis Cyber Protect Cloud Agent Windows before build 40077...

CVE-2025-30415

Denial of service due to improper handling of malformed input. The following products are affected: Acronis Cyber Protect Cloud Agent Linux, macOS, Windows before build 40077, Acronis Cyber Protect 17 Linux, macOS, Windows before build 41186...

Adapting under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security

Evolving attacks are a critical challenge for the long-term success of Network Intrusion Detection Systems NIDS. The rise of these changing patterns has exposed the limitations of traditional network security methods. While signature-based methods are used to detect different types of attacks, th...

Security Bulletin: IBM Instana Observability is affected by multiple vulnerabilities within Instana Agent container image

Summary Multiple vulnerabilities were remediated in IBM Observability with Instana within Instana Agent container image build 1.0.297 Vulnerability Details CVEID:CVE-2025-22233 DESCRIPTION: CVE-2024-38820 ensured Locale-independent, lowercase conversion for both the configured disallowedFields...

Comprehensive Vulnerability Analysis Is Necessary for Trustworthy LLM-MAS

This paper argues that a comprehensive vulnerability analysis is essential for building trustworthy Large Language Model-based Multi-Agent Systems LLM-MAS. These systems, which consist of multiple LLM-powered agents working collaboratively, are increasingly deployed in high-stakes applications bu...

Seven Security Challenges That Must Be Solved in Cross-Domain Multi-Agent LLM Systems

Large language models LLMs are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain...

CVE-2025-20259

Multiple vulnerabilities in the update process of Cisco ThousandEyes Endpoint Agent for Windows could allow an authenticated, local attacker to delete arbitrary files on an affected device. These vulnerabilities are due to improper access controls on files that are in the local file system. An...