Model-Context-Protocol

10 reports

All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Model Theft Data Poisoning AI Security Tools Security Operations

Amazon Q Extension Credential Theft via MCP Injection

ATLAS OWASP HIGH ▲ 8.5 Dark Reading Jul 05, 2026

A vulnerability in the Amazon Q Visual Studio Code extension allows adversaries to plant malicious repositories that execute arbitrary code and exfiltrate cloud credentials. The flaw highlights escalating risks associated with Model Context Protocol (MCP) integrations embedded within AI-powered developer tools. This attack vector represents a growing threat surface as AI coding assistants gain privileged access to developer environments and cloud infrastructure.

Microsoft Copilot MCP Tool Poisoning Enables Data Exfiltration

ATLAS OWASP HIGH ▲ 9.1 The Hacker News Jul 04, 2026

Microsoft researchers have demonstrated how attackers can embed hidden instructions inside MCP tool descriptions to covertly redirect AI agents into exfiltrating sensitive business data. Because each individual action the agent takes appears legitimate — using approved tools and the user's own permissions — default security controls generate no alerts. The attack exploits a fundamental design tension in MCP: tool descriptions simultaneously carry operational instructions and attacker-controlled data, collapsing a critical trust boundary.

Google Launches Gemini Spark on Mac with File Access

FIRST LOOK ATLAS OWASP HIGH ▲ 8.2 TechCrunch AI Jul 02, 2026

Google has expanded Gemini Spark to macOS, giving the agentic assistant access to local files, third-party app integrations (including Dropbox, Canva, and Instacart), custom MCP connections, and real-time topic monitoring. This substantially widens the attack surface for enterprise defenders, as a compromised or manipulated Spark agent gains a foothold across local file systems, cloud workspaces, and external service APIs simultaneously. The addition of custom Model Context Protocol support is particularly concerning, as it allows arbitrary third-party tool connections with unclear trust boundaries and permission scoping.

AutoGen Studio RCE: AutoJack Exploit Chain Targets Developers

ATLAS OWASP HIGH ▲ 9.1 The Hacker News Jun 20, 2026

Microsoft researchers disclosed AutoJack, an exploit chain targeting AutoGen Studio's MCP WebSocket endpoint that allows a single malicious web page to execute arbitrary commands on a developer's host machine via an AI browsing agent. The attack chains three distinct weaknesses — localhost trust bypass, missing authentication on MCP paths, and unsanitised command execution — requiring no credentials or user interaction beyond the agent loading the attacker's URL. While the vulnerable handler was not included in stable PyPI releases, it shipped in two pre-release builds that remain unyanked, leaving anyone who installed those versions exposed.

Microsoft AutoGen Studio RCE via MCP Bypass

ATLAS OWASP HIGH ▲ 9.1 Microsoft Security Blog Jun 19, 2026

Researchers at Microsoft identified a three-stage exploit chain in AutoGen Studio that allows a malicious web page visited by a browsing AI agent to reach the host's local Model Context Protocol (MCP) WebSocket and spawn arbitrary processes. The chain exploits a bypassable origin allowlist, authentication middleware that excluded MCP endpoints, and unsanitised URL-derived command parameters. Although the vulnerable surface was never shipped in a PyPI release, the finding exposes a systemic architectural risk in any agent framework that combines untrusted browsing with privileged localhost services.

Agentjacking Attack Achieves 85% Success Rate Against AI Coding Agents via Sentry MCP

ATLAS OWASP CRITICAL ▲ 9.2 The Hacker News Jun 13, 2026

Tenet Security has disclosed 'Agentjacking', a novel attack class that exploits the implicit trust AI coding agents place in Model Context Protocol (MCP) data sources. By injecting malicious instructions into Sentry error events via publicly accessible DSN credentials, attackers can cause agents like Claude Code and Cursor to execute arbitrary code with full developer privileges. Researchers confirmed 2,388 exposed organisations and an 85% exploitation success rate in controlled testing, with no prior access to victim infrastructure required.

Robinhood Prompt Injection Enables Autonomous Trade Attacks

ATLAS OWASP HIGH ▲ 7.2 HN AI Security May 31, 2026

Robinhood has launched agentic trading and a virtual credit card that allow third-party AI agents to autonomously execute stock trades and payments on behalf of users via a Model Context Protocol (MCP) integration. This architecture introduces significant attack surface through prompt injection, excessive agency, and insecure plugin design risks inherent to LLM-driven autonomous financial action. The delegation of real financial authority to AI agents with limited human-in-the-loop controls represents a systemic risk to retail investors if agent pipelines are compromised or manipulated.

Supply Chain Risk: Gradio MCP Server Exposes AI Agents

ATLAS OWASP MEDIUM ▲ 6.2 Hugging Face Blog Apr 27, 2026

Hugging Face's Gradio MCP server integration enables LLMs to connect to thousands of third-party AI tools via Hugging Face Spaces, significantly expanding the attack surface for agentic AI systems. This architecture introduces supply chain risks, excessive agency concerns, and potential for malicious tool servers to manipulate LLM behaviour through crafted outputs. While presented as a productivity feature, the open, community-driven nature of the 'MCP App Store' raises serious vetting and trust boundary concerns.

Anthropic MCP Supply Chain Flaw Enables Command Injection

ATLAS OWASP CRITICAL ▲ 9.1 SecurityWeek Apr 16, 2026

A structural vulnerability in Anthropic's Model Context Protocol (MCP) allows unsanitized commands to be executed silently within AI environments, potentially enabling full system compromise. Researchers classify the flaw as 'by design,' meaning it stems from architectural decisions rather than implementation bugs, making it particularly difficult to patch without protocol-level changes. The breadth of MCP adoption across agentic AI toolchains significantly amplifies the supply chain risk.

CVE-2025-59528: Flowise RCE Exploited Across 12,000 Instances

ATLAS OWASP CRITICAL ▲ 9.4 The Hacker News Apr 13, 2026

A maximum-severity (CVSS 10.0) remote code execution vulnerability in Flowise, a widely-used open-source AI agent builder, is under active exploitation with over 12,000 internet-exposed instances at risk. The flaw, CVE-2025-59528, exists in the CustomMCP node and allows unauthenticated JavaScript execution with full Node.js runtime privileges via unsanitised MCP server configuration input. This marks the third Flowise vulnerability exploited in the wild, underscoring systemic security gaps in AI orchestration and agent-building platforms.

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