OpenClaw: iOS A2UI bridge trusted generic local-network pages for agent.request dispatch

Summary Before OpenClaw 2026.4.2, the iOS A2UI bridge treated generic local-network pages as trusted bridge origins. A page loaded from a local-network or tailnet host could trigger agent.request dispatch without the stricter trusted-canvas origin check. Impact A loaded attacker-controlled page...

GHSA-4P4F-FC8Q-84M3 OpenClaw: iOS A2UI bridge trusted generic local-network pages for agent.request dispatch

Summary Before OpenClaw 2026.4.2, the iOS A2UI bridge treated generic local-network pages as trusted bridge origins. A page loaded from a local-network or tailnet host could trigger agent.request dispatch without the stricter trusted-canvas origin check. Impact A loaded attacker-controlled page...

curl: libssh key passphrase bypass without agent set

A flaw was found in libcurl. When doing SSH-based transfers using either SCP or SFTP, and asked to do public key authentication, curl would wrongly still ask and authenticate using a locally running SSH agent...

EUVD-2026-19637

A path traversal vulnerability exists in mintplex-labs/anything-llm versions up to and including 1.9.1, within the AgentFlows component. The vulnerability arises from improper handling of user input in the loadFlow and deleteFlow methods in server/utils/agentFlows/index.js. Specifically, the...

CVE-2026-5627

The CVE-2026-5627 issue affects mintplex-labs/anything-llm up to version 1.9.1, specifically in the AgentFlows component. The vulnerability stems from improper handling of user input in loadFlow and deleteFlow (server/utils/agentFlows/index.js), where path.join combined with normalizePath can byp...

CVE-2026-5627 Path Traversal in mintplex-labs/anything-llm

A path traversal vulnerability exists in mintplex-labs/anything-llm versions up to and including 1.9.1, within the AgentFlows component. The vulnerability arises from improper handling of user input in the loadFlow and deleteFlow methods in server/utils/agentFlows/index.js. Specifically, the...

SUSE-SU-2026:20969-1 Security update for polkit

This update for polkit fixes the following issue: - CVE-2026-4897: Fixed possible OOM condition via specially crafted input to polkit-agent-helper-1 bsc1260859...

SUSE-SU-2026:21032-1 Security update for polkit

This update for polkit fixes the following issue: - CVE-2026-4897: Fixed possible OOM condition via specially crafted input to polkit-agent-helper-1 bsc1260859...

SUSE-SU-2026:1195-1 Security update for google-cloud-sap-agent

This update for google-cloud-sap-agent fixes the following issue: Update to google-cloud-sap-agent 3.12 bsc1259816: - CVE-2026-33186: google.golang.org/grpc: authorization bypass due to improper validation of the HTTP/2: path pseudo- header bsc1260265. Changelog: Collect WLM metric...

Security update for google-cloud-sap-agent

This update for google-cloud-sap-agent fixes the following issue: Update to google-cloud-sap-agent 3.12 bsc1259816: CVE-2026-33186: google.golang.org/grpc: authorization bypass due to improper validation of the HTTP/2: path pseudo- header bsc1260265. Changelog: Collect WLM metric...

Security update for google-cloud-sap-agent

This update for google-cloud-sap-agent fixes the following issue: Update to google-cloud-sap-agent 3.12 bsc1259816: CVE-2026-33186: google.golang.org/grpc: authorization bypass due to improper validation of the HTTP/2: path pseudo- header bsc1260265. Changelog: Collect WLM metric...

SUSE-SU-2026:1194-1 Security update for google-cloud-sap-agent

This update for google-cloud-sap-agent fixes the following issue: Update to google-cloud-sap-agent 3.12 bsc1259816: - CVE-2026-33186: google.golang.org/grpc: authorization bypass due to improper validation of the HTTP/2: path pseudo- header bsc1260265. Changelog: Collect WLM metric...

Benchmarking-Agent-Architectures

Benchmarking Agent Architectures for LLM-Based Exploit Gener...

CVE-2026-5607

A security vulnerability has been detected in imprvhub mcp-browser-agent up to 0.8.0. This impacts the function CallToolRequestSchema of the file src/handlers.ts of the component URL Parameter Handler. The manipulation of the argument request.params.name/request.params.arguments leads to...

EUVD-2026-19484

OCS Inventory NG Server version 2.12.3 and prior contain a stored cross-site scripting vulnerability that allows unauthenticated attackers to execute arbitrary JavaScript by submitting malicious User-Agent HTTP headers to the /ocsinventory endpoint. Attackers can register rogue agents or craft...

Argus: Reorchestrating Static Analysis Via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection

Recent advancements in Large Language Models LLMs have sparked interest in their application to Static Application Security Testing SAST, primarily due to their superior contextual reasoning capabilities compared to traditional symbolic or rule-based methods. However, existing LLM-based approache...

ClawLess: A Security Model of AI Agents

Autonomous AI agents powered by Large Language Models can reason, plan, and execute complex tasks, but their ability to autonomously retrieve information and run code introduces significant security risks. Existing approaches attempt to regulate agent behavior through training or prompting, which...

This Week in Spring - April 7th, 2026

Hi Spring fans! Welcome to another installment of This Week in Spring! It's April 7th, 2026, and I'm on the road! I started the journey for the amazing Voxxed Days Amsterdam show and am now winding my way through France. I visited Colmar, a beautiful city from which the animators on Disney's Beau...

MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library

Network Intrusion Detection Systems NIDS face important limitations. Signature-based methods are effective for known attack patterns, but they struggle to detect zero-day attacks and often miss modified variants of previously known attacks, while many machine learning approaches offer limited...

PoC-Adapt: Semantic-Aware Automated Vulnerability Reproduction with LLM Multi-Agents and Reinforcement Learning-Driven Adaptive Policy

While recent approaches leverage large language models LLMs and multi-agent pipelines to automatically generate proof-of-concept PoC exploits from vulnerability reports, existing systems often suffer from two fundamental limitations: unreliable validation based on surface-level execution signals...