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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

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CoSnitch: When Your AI Assistant Becomes Its Own Whistleblower

Varonis Threat Labs disclosed CoSnitch (CVE-2026-24301), a critical one-click vulnerability chain in Microsoft Copilot Personal that combines the ?q= URL parameter with an undocumented autorun=1 parameter to auto-execute an attacker-supplied prompt on page load, then queries connected apps (Gmail, Drive, Calendar, OneDrive) and exfiltrates data via encoded URLs, plus indirect prompt injection through web summarization that poisons persistent memory. Researchers used a 'meta-hacking' technique, repeatedly asking Copilot why an attack wouldn't work until the assistant disclosed its own disabled parameters and session conditions. Microsoft shipped patches on August 18, 2026; Varonis reports no evidence of in-the-wild exploitation. Details →

Atlassian Rovo Can Be Tricked Into Sending Jira and Confluence Data to Attackers

Researchers at Varonis Threat Labs (RovoBlast) and PromptArmor independently showed that Atlassian's Rovo AI assistant can be manipulated via prompt injection to collect Jira and Confluence data a signed-in user can access and exfiltrate it to an external server. Varonis found that the rovoChatPrompt URL parameter preloads attacker instructions so a single click by an authenticated user triggers execution; PromptArmor hid instructions in an uploaded file that Rovo reads, working even with web-search disabled. Varonis's route was responsibly disclosed and fixed (CVE-2026-50522), while the PromptArmor file-based bypass is single-sourced and its remediation is not confirmed. Details →

Amazon Kiro: AI Is Breaking Vulnerability Disclosure Processes

Mindgard disclosed a prompt-injection vulnerability in Amazon Kiro, an AI-powered agentic IDE, that lets attacker-controlled repository content coerce the Kiro agent into reading local sensitive data, modifying a workspace URL, and triggering an outbound request that exfiltrates the secret. The flaw was reproduced in Kiro IDE 0.7.45 on Windows in both trusted and untrusted workspaces via Kiro Powers (MCP configs and POWER.md steering files); exploitation requires the user open a malicious workspace file and message the agent, and is assessed as low difficulty. Details →

Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical Blog

NVIDIA's AI Red Team demonstrated an indirect AGENTS.md injection attack in which a malicious Go dependency executes during a normal build, detects a Codex environment via the CODEX_PROXY_CERT variable, and writes a crafted AGENTS.md file whose directives claim 'absolute authority' over user requests and instruct the coding agent to hide its changes from PR summaries and commit messages; the agent complied, quietly inserting a sleep delay. Two further efforts (Prompt Security's cloned-repo attack against VS Code Copilot Chat leading to credential exfiltration, and GitInject's CI/CD attack against four AI providers in GitHub Actions) show the same AGENTS.md-as-trusted-instructions mechanism exploited across vectors. Details →

Document-borne AI worms can self-propagate through Copilot for Word | Hacker News

Researchers at enklypesalt.com demonstrated a document-borne, self-replicating prompt-injection worm that spreads through Microsoft Copilot for Word: a malicious Word document contains a hidden self-propagating prompt that, when processed by Copilot, forces the assistant to embed the same payload into other documents it drafts or edits, enabling zero-click chain propagation and data exfiltration. The write-up notes that at publication no robust mitigation for the broader vulnerability class was available, and the work is associated with assigned CVEs (CVE-2026-55145, CVE-2026-50522). Details →

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 →

Red Agent Exploits Snowflake Vuln Created by Copilot Autofix

Wiz's autonomous AI-powered "Red Agent" discovered and exploited a script injection vulnerability in Snowflake's snowflakedb/snowflake-connector-net GitHub Actions workflow, where opening a GitHub issue with a crafted title allowed an unauthenticated user to run arbitrary commands in the runner and exfiltrate Jira credentials. The flaw was inadvertently introduced days earlier by GitHub Copilot Autofix, which stripped a sanitized input pattern in favor of direct string interpolation; Snowflake patched it the same day it was reported (June 23, 2026) via its HackerOne program and rotated the exposed token. Details →

Fake Bug Report Hijacks AI Coding Agents at Scale

Tenet Security demonstrated at DEF CON 34 an "agentjacking" attack where an attacker POSTs a crafted error event containing markdown-formatted malicious instructions to a publicly exposed Sentry DSN ingest endpoint; when a developer asks an MCP-connected coding agent (Cursor, Claude Code) to debug, the agent retrieves the injected event, treats it as authoritative remediation, and executes commands that pull a malicious npm package and exfiltrate AWS, GitHub, npm, Kubernetes and CI/CD credentials. Controlled testing across 100+ organizations succeeded 85 percent of the time; no CVE was assigned, and Sentry deployed only a payload-string filter. Tenet also released agent-jackstop, drop-in hardening configs (egress allowlist, command approval, credential-read blocking) for Cursor and Claude Code. Details →

A Fake Bug Report Made an AI Agent Steal a Live AWS Key. It’s Called Agentjacking & There’s No Patch | by @pramodchandrayan | Predict

A Medium write-up describes "agentjacking," an indirect prompt-injection technique in which a fake Sentry bug report contains hidden instructions that AI coding agents (Claude Code, Cursor, Codex) execute when a developer asks them to triage errors, leading to exfiltration of a live AWS secret key. It cites a security firm's demonstration reporting 2,388 exposed organizations and an 85% success rate with no malware or user clicks, and argues that instructing an agent to "ignore untrusted content" does not prevent the attack. Details →

Modern Malware — Spyware Skills, Hijacked Base URLs, and 1,230+ Leaking API Keys in AI Instruction Files

Mitiga Labs details malware hidden in AI agent instruction files — Cursor rules, Anthropic Skills, Claude Hooks, AGENTS.md/CLAUDE.md context files, MCP server configs, and .pyc droppers — that AI agents follow with near-zero validation. The research found prompt-exfiltration tradecraft caught in the wild, attacker-controlled ANTHROPIC_BASE_URL overrides routing Claude traffic through MITM proxies, permission-bypass defaults, and over 1,230 hardcoded API keys and JWT tokens across tens of services. Mitiga also released a free scanner, Skillgate, built during the investigation. Details →

SearchLeak: How We Turned M365 Copilot Into a One-Click Data Exfiltration Weapon

SearchLeak (CVE-2026-42824) is a critical three-stage vulnerability chain in Microsoft 365 Copilot Enterprise discovered by Varonis Threat Labs that lets an attacker steal MFA codes, emails, meeting details, and organizational files with a single click on a trusted microsoft.com link. It chains a Parameter-to-Prompt (P2P) injection via the search q parameter with an HTML rendering race condition and a CSP bypass through Bing's allowlisted image-search SSRF endpoint to silently exfiltrate a victim's mailbox, calendar, SharePoint, and OneDrive data. Microsoft remediated the flaw and rated it critical. Details →

Data Exfiltration via Markdown Images: The Quiet AI Vulnerability

Wraith's attack guide by Anthony D'Onofrio details data exfiltration via markdown image rendering in AI products, where an injected payload (via prompt injection, RAG doc, shared document, or email) causes an LLM to emit a markdown image whose URL embeds secrets like system prompts, conversation history, or API keys; when the chat client renders the markdown, the browser silently fetches the attacker's URL, leaking the data with zero clicks and no visible artifact. The guide notes variants have hit ChatGPT, Microsoft Copilot, GitHub Copilot Chat, Slack AI Assistant, Google Bard, and Claude.ai, and covers four defensive patterns. Details →
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