The Wire.Tracking threats to Agents 312 raw → 45 curated · updated 27 Jun 2026

Lead dispatch · top current threat

Amazon Q Developer Flaw Could Let Malicious Repos Run Code via MCP Configs

A high-severity flaw (CVE-2026-12957, CVSS 8.5) in Amazon Q Developer's handling of Model Context Protocol (MCP) servers allowed a malicious repository to run commands and steal a developer's cloud credentials once the workspace was trusted. Amazon has patched the bug.

tool-abuse · supply-chain · data-exfiltration
mcp · copilot · ai-agents

Severity
0.75

The wire · latest

AutoJack Attack Lets One Web Page Hijack AI Agent for Host Code Execution

Microsoft researchers detailed an exploit chain called AutoJack that hijacks an AI browsing agent to achieve host code execution. By steering the agent to load an attacker's web page, the page's JavaScript reaches a privileged local service and spawns a process on the host with no credentials or further user interaction.

researchprompt-injectiontool-abuseremote-code-executionbrowser-agentai-agentsllm
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MCP Supply Chain Attacks: Why Better Models Make It Worse

An analysis arguing that the Model Context Protocol (MCP) is following the insecure early-API trajectory by leaving authentication, authorization, input validation, and sandboxing to implementers. It highlights that compromising the AI/MCP layer can cause broader, harder-to-trace damage than a compromised API because LLM-driven agents autonomously select tools and can be manipulated via upstream data or prompts.

analysissupply-chaintool-abuseprompt-injectionmcpai-agentsllm
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deep-xpia - multi-hop cross-prompt injection benchmark

deep-xpia is a benchmark of multi-hop cross-prompt injection (DXPIA) across delegated agent boundaries, with 300 live-measured cases and 8 attack patterns showing 69% land undefended and 12% even with all defenses. It highlights registry injection at tool-discovery (DXPIA-008) entering upstream of all 5 stacked defenses and maps patterns to documented Copilot incidents like EchoLeak.

researchprompt-injectioncross-prompt-injectionmemory-injectiontool-abusesupply-chaindata-exfiltrationai-agentsllmmcpcopilot
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GPT-5 Nano IPI Assessment — LLM Vulnerability Research | Lateos

A black-box prompt injection susceptibility assessment of GPT-5 Nano using the IPI Taxonomy v0.13 across 201 analyzed test cases, reporting a 38.3% overall susceptibility rate. The model was fully resistant to surface-level attacks (CSS concealment, HTML cloaking, SEO phishing, RAG corpus poisoning) but highly vulnerable to recursive instruction framing (100%) and MCP tool description poisoning (80%).

researchprompt-injectiontool-abusejailbreakllmmcprag
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Pwning Agentic AI Part I: Your AI Agent Is Already Compromised | Trend Micro (US)

Trend Micro's TrendAI Research describes a new agentic-AI exploitation pattern they call return-to-tool (RTT) exploits, where embedded instructions in benign-looking untrusted input cause an AI agent to invoke its authorized tools to perform attacker-intended actions such as exfiltrating production database credentials. The research notes a vulnerable PostgreSQL MCP server image pulled over 100,000 times from Docker Hub as a realistic exposure vector.

researchprompt-injectiontool-abusedata-exfiltrationindirect-prompt-injectionai-agentsmcpllm
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GitHub - denoland/clawpatrol: Security firewall for agents · GitHub

Clawpatrol is an open-source security firewall for AI agents from denoland, designed to sandbox external plugins (treated as an untrusted supply-chain attack surface) using OS-level namespaces, Landlock, and macOS sandbox profiles, with permission lockfiles and brokered network dialing.

analysistool-abusesupply-chainprompt-injectionai-agentsmcpllm
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Stack Builders - When Text Becomes Code: Securing LLM–Database Integrations

A technical guide based on a Quito Lambda talk demonstrating how prompt injection (direct, indirect, and confused-deputy/exfiltration) can compromise LLM applications that generate SQL over a live Postgres database, using an example LLM-powered SQL analyst with a Streamlit frontend. It walks through layered defenses and what they stop or fail to stop.

researchprompt-injectiondata-exfiltrationtool-abusellmragai-agents
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When Background AI Agents Become a Security Boundary Problem | Origin

Origin researchers demonstrate how Claude Code's background sessions and undocumented supervisor daemon (introduced in recent versions) can be repurposed into a mostly invisible, persistent C2-like agent using only Markdown and JSON files after a one-time local code execution. They reverse-engineered the daemon's local IPC channel (named pipes on Windows, Unix sockets on macOS/Unix) that manages worker processes independently of the terminal lifecycle.

researchtool-abusepersistencecommand-and-controlagentic-abuseai-agentsclaude-codellmmcp
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Instagram account takeover exploit via support chatbot prompt injection (fixed)

Reports claim Meta's AI support agent for Instagram was granted account-modification permissions without identity verification, allowing attackers to manipulate the bot into changing account emails and bypassing 2FA, leading to live account takeovers. Multiple users reported losing accounts before the issue was reportedly patched.

prompt-injectiontool-abuseaccount-takeoverauthentication-bypassai-agentsllmchatbot
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Inside MCP: defending the runtime layer of agent security · Arcis Blog

An Arcis blog post argues that agent security has four layers (identity, pre-deploy testing, observability, runtime defense) and that the runtime hot path is structurally underserved. It frames MCP's explicit tool-call contract as enabling runtime defense against agent toolcall injection (their vector V32), applying allowlist/sanitize/refuse techniques at the agent-tool boundary.

analysistool-abuseprompt-injectionmcpai-agents
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Millions of AI agents imperiled by critical vulnerability in open source package - Ars Technica

A critical authentication-bypass vulnerability (CVE-2026-48710, dubbed BadHost) in the Starlette framework lets a single character injected into the HTTP Host header bypass path-based authorization. Because Starlette underpins FastAPI, vLLM, LiteLLM, and many MCP servers and agent harnesses, the flaw exposes millions of AI agents and their stored third-party credentials and sensitive data to trivial exploitation.

advisorysupply-chaindata-exfiltrationauthentication-bypasstool-abusemcpai-agentsllmfastapistarlette
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