First reported · updated · 4 reports embracethered.com
Lead dispatch
First reported · updated · 3 reports embracethered.com
AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection
Researchers found a vulnerability (CVE-2026-10591) in AWS Kiro, an agentic IDE, where hidden instructions planted in a web page or source file that Kiro processes can trigger indirect prompt injection to rewrite Kiro's own MCP server configuration (~/.kiro/settings/mcp.json) or allowlist arbitrary Bash commands in .vscode/settings.json, achieving arbitrary code execution on the developer's machine with no approval prompt. The human-in-the-loop approval boundary is bypassed because Kiro can write to these config files without user consent, and AWS has issued a fix and CVE.indirect-prompt-injection · prompt-injection · remote-code-execution · tool-abuse · config-poisoning
ai-agents · mcp · llm · agentic-ide
Severity
0.85
The wire · latest
First reported immersivelabs.com
Claude Code RCE: How a Malicious PR Triggers Code Execution
Immersive Labs describes a Claude Code remote code execution vulnerability in which a malicious pull request can trigger code execution when the AI coding agent processes the repository. The attack leverages attacker-controlled content in a PR to coerce the agent into executing code on the host. Details →First reported · updated · 6 reports wiz.io
GhostApproval: AI Coding Assistant Trust Boundary Flaw
Wiz disclosed GhostApproval, a vulnerability pattern in 6 top AI coding assistants (Amazon Q Developer, Anthropic Claude Code, Augment, Cursor, Google Antigravity, Windsurf) where a malicious repository uses a symlink (CWE-61) disguised as an ordinary file so the agent writes attacker-controlled content — such as an SSH key into ~/.ssh/authorized_keys — outside the workspace sandbox, potentially achieving RCE. In several cases (notably Claude Code) the agent's internal reasoning recognized the dangerous target while the human-in-the-loop confirmation dialog concealed it (CWE-451). CVEs including CVE-2026-12958 and CVE-2026-50549 were assigned; AWS, Cursor, and Google fixed the issue, while others went silent or declined it as outside their threat model. Details →First reported tenetsecurity.ai
A public Sentry key is all it takes to hijack Claude Code, Cursor, and Codex
Researchers at Tenet Security describe "agentjacking," an attack in which a publicly exposed Sentry key lets an attacker inject fake error messages that AI coding agents such as Claude Code, Cursor, and Codex ingest via the Sentry MCP server. The crafted error content acts as an indirect prompt injection, hijacking the agent to execute attacker-directed actions; the team also published a mitigation tool, agent-jackstop, on GitHub. Details →First reported mitiga.io
MCP Token Theft in Claude Code: A Man-in-the-Middle Attack Chain
Mitiga Labs research details a man-in-the-middle attack chain against Claude Code in which a user-level post-install hook rewrites MCP server endpoints in ~/.claude.json to route MCP traffic through attacker-controlled infrastructure and steal OAuth tokens for connected SaaS (Jira, Confluence, GitHub, etc.). Because provider-side audit logs still show valid OAuth traffic from Anthropic's trusted egress range, the malicious activity blends in as legitimate user actions, and token rotation fails to break the chain while the hook keeps reseeding the config. Details →First reported ainowinstitute.org
Friendly Fire: Hijacking Defensive Cyber AI Agents for Remote Code Execution
The AI Now Institute published an exploit brief and PoC (GitHub: Boyan-MILANOV/friendly-fire-ai-agent-exploit) demonstrating remote code execution against Anthropic's Claude Code CLI (auto-mode) and OpenAI's Codex CLI (auto-review) when these defensive coding agents are used to assess third-party or open-source libraries. The attack embeds prompt injections across a library's source code to hijack the AI agent, requiring no hooks, skills, plugins, MCP servers, or config files as an injection vector. Details →First reported 0din.ai
Mozilla Shows the Danger of Indirect Prompt Injections in AI Coding Agents
Mozilla 0DIN researchers Andre Hall and Miller Engelbrecht demonstrated a proof-of-concept attack where a clean GitHub repository with no malicious code uses indirect prompt injection to trick AI coding agents like Anthropic's Claude Code into chaining routine actions that grant an attacker shell command access and persistence. The malicious payload never appears in the repository; instead it is pulled at runtime from DNS after the agent blindly trusts the repo, evading scanners and human review. Details →How the wire is made
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