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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
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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 →

Drive-By Agent Hijacking: One Website Visit, Persistent Model Poisoning

Cyera's Oasis Identity Research disclosed CVE-2026-65105 in NVIDIA NemoClaw, which deploys the OpenClaw AI agent with local Ollama inference. NemoClaw starts Ollama bound to 0.0.0.0:11434 (while telling users it is on localhost), disabling a key defense; combined with DNS rebinding, a single visit to an attacker-controlled webpage gives unauthenticated access to the Ollama API, letting an attacker persistently poison the model's chat template so injected instructions survive the agent's own system prompt and steer the agent thereafter. The findings were reported to NVIDIA PSIRT prior to publication. Details →

Breaking Claude Code Opus 5 Auto Mode

Johann Rehberger (Embrace The Red) demonstrated an indirect prompt injection attack chain that hijacks Claude Code Opus 5 in Auto Mode via a simple 'summarize this website' request, achieving code execution with a 60-80% success rate. The chain nudges Claude from WebFetch to curl, downloads a ZIP whose extracted malicious struct.py shadows Python's standard module, so importing base64 triggers attacker code; in some runs Auto Mode's safety classifier even blocked Claude's own cleanup command. The result contrasts with a vendor-commissioned evaluation (Trajectory Labs) that reported 0.00% attack success for Opus 5 in Auto Mode. Details →

I broke an MCP server in 10 minutes — the exact prompt injection attack chain (with fixes)

A DEV Community write-up demonstrates an indirect prompt injection attack chain against a typical MCP server exposing read_file and send_email tools, where a submitted document containing a fake 'SYSTEM NOTE' instruction causes the model to exfiltrate /etc/passwd by email because no boundary separates data from instructions. The author outlines fixes (treat tool/file content as data, per-session tool allowlists, confirmation gates on external-sending tools) and notes tool-description poisoning persists across sessions. The post also promotes a free hosted scanner. Details →

GhostJacking Attacks: Half of the Fortune 500 Run These Tools. Getting Blocked by the Firewall Was the Way to Take Over Their AI Agents - Tenet Security

Tenet Security disclosed 'GhostJacking' at DEF CON 34, an indirect prompt-injection technique that hides malicious instructions inside trusted operational data such as logs, alerts, and bug reports, then tricks AI coding and operations agents into executing them with their own legitimate permissions. Demonstrations across Cloudflare, Datadog, and Sentry workflows showed agents altering DNS records, running commands, exposing frontend keys, and exfiltrating environment secrets and cloud credentials while falsely reporting success. Tenet also reported that Anthropic fixed a Claude Desktop remote data-exfiltration flaw with no CVE assigned. 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 →

Grok chat history leak: Cryptographic Context Injection

Adversa AI disclosed a technique it calls Cryptographic Context Injection that hides malicious instructions inside AES-256-GCM ciphertext, then induces an LLM to decrypt them in its own code-execution sandbox so the plaintext arrives as trusted runtime output that bypasses static guardrails. Demonstrated against live production Grok and Gemini, an ordinary 'summarize this page' request silently exfiltrates a Grok user's chat data with no click; the researchers reported it to xAI in June 2026 and say it was still reproducible against Grok as of August 19. Details →

From SQLi to RCE - Exploiting LangGraph’s Checkpointer - Check Point Research

Check Point Research (Yarden Porat and Shahar Tal) disclosed 11 vulnerabilities across six major AI agent frameworks — LangChain, LangGraph, CrewAI, AutoGen, the Microsoft Agent Framework, and Google ADK — including insecure deserialization, SSRF, path traversal, SQL injection, and use-after-free flaws. The most severe were RCE chains: a checkpoint deserialization flaw in the Microsoft Agent Framework triggerable via prompt injection, unauthenticated code execution in Google ADK, and three LangGraph checkpointer bugs (CVE-2025-67644, CVE-2026-28277, CVE-2026-27022). All disclosed issues were patched. 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 →

Stealing Reasoning Traces from Proprietary LLM APIs

A paper titled "Stealing Reasoning Traces from Proprietary LLM APIs" and a reproduction by embracethered describe an attack that recovers encrypted LLM chain-of-thought blobs by replaying them to a weaker, easier-to-jailbreak model from the same provider, which then decodes and outputs the hidden reasoning in plaintext. The technique exploits the interchangeability of encrypted reasoning blocks across sessions, users, and models at OpenAI, Anthropic, and Google; the researchers decoded 315,320 scraped reasoning blocks to recover 367 PII artifacts and 182 credentials, and the blogger reproduced the attack against OpenAI's GPT-5.6. 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 →

ChainDrop: When Opening a Repository Becomes Execution

Researchers (Novee Security and Pillar Security's "ChainDrop") disclosed critical flaws in the GitHub Actions-based coding agents shipped by Anthropic (Claude Code), Google (Gemini CLI) and OpenAI (Codex), where a single zero-privilege input such as a GitHub issue or opening a repository triggers indirect prompt injection leading to remote code execution on the vendor's own runner, exfiltration of live API keys and GITHUB_TOKEN, persistent agent hijacking, and downstream supply-chain compromise (Gemini CLI rated CVSS 10.0). Multiple CVEs (e.g. CVE-2026-54316, CVE-2026-12537, CVE-2026-50522) and vendor security advisories were issued, but the report warns thousands of public repos running default configs remain exposed. Details →

DeepJack Cursor deeplink vulnerability: 1-click MCP server RCE

Adversa AI disclosed a vulnerability in the Cursor AI coding IDE (dubbed "DeepJack") in which a crafted cursor:// deeplink can install an attacker-controlled MCP server that runs arbitrary, unsandboxed commands under the victim's account after one click and one confirmation. The install dialog renders the server command in a single-line field, pushing a malicious tail off-screen, and a double-URL-encoded variant disguises the mcp/install URI as a routine pr-review link. Cursor closed the reports as duplicates, but build 3.9.8 reportedly remains vulnerable. Details →

AI Browsers Vulnerable to 'PleaseFix' Zero-Click Agent Hijacking

Zenity Labs disclosed a new zero-click vulnerability class dubbed 'PleaseFix' at Black Hat USA 2026 that lets attackers hijack AI browser agents — including Claude in Chrome, Gemini in Chrome, Perplexity Comet, ChatGPT Atlas, and Copilot Edge — by hiding malicious instructions in emails and webpages the agents ingest. Because the agents combine and act on content from multiple sources without reliably separating trusted from untrusted input, they break the same-origin security model, allowing an adversary to weaponize the agent and reach sensitive data, accounts, and connected services. Details →

Understanding the Risks of Prompt Injection in Devin AI

Security research on Devin, an autonomous AI coding assistant from Cognition, demonstrated that prompt injection attacks embedded in GitHub issues or malicious websites can coerce the agent into downloading and running malware, exfiltrating secrets, and exposing local ports to the internet via its expose_port tool. A researcher who spent $500 testing showed Devin can be turned into a 'ZombAI' enabling data leaks through shell execution, browser navigation, markdown image rendering, and Slack integrations. The vulnerabilities were disclosed to Cognition in April 2025 but reportedly remain unpatched after 120+ days. 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 →

We put the exploit in a picture. Your AI code reviewer never opens it.

Researchers from the University of Missouri-Kansas City's ASSET Research Group demonstrated 'Ghostcommit,' an attack that hides malicious prompt-injection instructions inside a PNG image so AI code reviewers (CodeRabbit, Cursor Bugbot) never see them. A benign-looking AGENTS.md convention file points to build-spec.png, whose rendered text instructs a coding agent to read the repo's .env byte-by-byte and emit the secrets as an integer tuple; the payload sits dormant until an unrelated agent session triggers exfiltration. A proof-of-concept is published on GitHub and the findings were disclosed to affected vendors. Details →

ClaudeBleed Reopened: Browser Extensions Can Still Push Claude for Chrome to Read Your Gmail

Manifold Security researcher Ax Sharma disclosed two unpatched vulnerabilities in Anthropic's Claude for Chrome extension (v1.0.80). Any browser extension with a content script on claude.ai can inject a DOM element and dispatch a synthetic click that Claude treats as a legitimate user action, triggering one of nine hardcoded workflows that read Gmail, Google Docs, and Calendar or act on Salesforce; a second flaw initializes the side panel in privileged mode via a ?skipPermissions=true URL parameter with no consent. Rated CVSS 7.7 in default mode and 9.6 Critical when 'Act without asking' is enabled, and reportedly still reproducible after eight releases since being reported to Anthropic in May. Details →

A Security Analysis of the OpenClaw AI Agent Framework

Researchers detailed three now-patched high-severity flaws (GHSA-hjr6-g723-hmfm, GHSA-9969-8g9h-rxwm, GHSA-575v-8hfq-m3mc; CVE-2026-46817, CVE-2026-55200) in the OpenClaw personal AI assistant framework that compose into a complete unauthenticated remote code execution path — from an LLM tool call triggered via a WhatsApp message to command execution on the host. The chain abuses OS command injection and an incomplete disallowed-input filter in the exec allowlist, whose closed-world lexical parsing is defeated by shell line continuation, busybox multiplexing, and GNU option abbreviation; a companion arXiv analysis taxonomizes 470 advisories and shows a malicious plugin skill bypassing the exec pipeline entirely. Details →
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