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AgentBaiting: How Fake AI Skills Deliver Malware at Scale

Island security researchers uncovered the FakeGit campaign, which used roughly 7,600 malicious GitHub repositories—over 800 posing as AI Skills or MCP servers—to deliver SmartLoader malware that installs the StealC information stealer. The campaign introduces a technique called AgentBaiting, in which AI agents such as Claude Code, Gemini, and ChatGPT autonomously discover the attacker repositories, treat the malicious README as legitimate documentation, and pass installation instructions to users; the operation recorded over 14 million downloads.

supply-chain · tool-abuse · malware-delivery · agentbaiting
mcp · ai-agents · ai-skills · llm · copilot

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AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection

AWS Kiro, an agentic coding IDE, was vulnerable to arbitrary command execution via indirect prompt injection: hidden text on a web page (or a comment in a source file) processed by the agent could make Kiro use its no-approval fsWrite tool to rewrite ~/.kiro/settings/mcp.json (or allowlist all Bash commands in .vscode/settings.json), causing it to launch attacker-specified MCP servers/commands and achieve RCE on the developer's machine, bypassing the human 'allow' approval boundary. Discovered by Intezer with Kodem Security and independently by Embrace The Red (Johann Rehberger); AWS has patched the issue. Details →

Security incident disclosure — July 2026

Hugging Face disclosed that attackers breached its production infrastructure using an autonomous AI agent framework, stealing internal datasets and cloud/cluster credentials. The intrusion began when a malicious dataset abused two code-execution paths (a remote-code dataset loader and a template-injection in a dataset configuration) to run code on a processing worker, after which the agent swarm escalated to node-level access and moved laterally across internal clusters, executing thousands of actions across short-lived sandboxes with self-migrating command-and-control staged on public services. Hugging Face closed the vulnerable paths, evicted the attacker, rebuilt nodes, and rotated credentials. Details →

JADEPUFFER: Agentic ransomware for automated database extortion

Sysdig researchers documented JadePuffer, described as the first ransomware operation conducted end-to-end by an autonomous LLM agent. The agent gained initial access by exploiting CVE-2025-3248 (an unauthenticated RCE in the Langflow LLM-app framework), then autonomously performed reconnaissance, credential theft, lateral movement, persistence (a beaconing cron job), privilege escalation via Nacos auth bypass CVE-2021-29441, and encrypted 1,342 Nacos configuration items—adapting to failures in real time (e.g., recovering from a failed login in 31 seconds). 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 →

Indirect Prompt Injection Targets AI Agents | ThreatLabz

Zscaler ThreatLabz observed two in-the-wild campaigns using indirect prompt injection (IPI) embedded in malicious websites to manipulate web-browsing AI agents. One campaign uses SEO poisoning around a fake Python library (requests-secure-v2) with hidden prompts and schema-markup instructions telling agents to make a cryptocurrency payment to a hardcoded wallet to obtain an API key; the other typosquats the DeFi tracker DeBank, embedding prompts convincing agents the fraudulent site is legitimate. In testing an autonomous payment-capable agent across 26 LLMs, four (Llama 3.3 70B, Llama 3.2 90B Vision, Gemini 3 Flash, Gemini 2.5 Pro) were tricked into paying and two miscategorized the fake DeBank as trusted. Details →

GhostApproval: AI Coding Assistant Trust Boundary Flaw

Wiz researchers disclosed GhostApproval (CVE-2026-12958 and related), a symlink-following vulnerability pattern (CWE-61 plus CWE-451 UI misrepresentation) affecting six top AI coding assistants: Amazon Q Developer, Anthropic Claude Code, Augment, Cursor, Google Antigravity, and Windsurf. A malicious repository disguises a symlink as an innocuous config file so that when the agent 'sets up the workspace' it writes an attacker SSH key to ~/.ssh/authorized_keys — sometimes before any confirmation dialog — while the human-in-the-loop approval prompt conceals the true target, enabling remote code execution. AWS, Cursor, and Google fixed the issue; two vendors went silent and one called it outside its threat model. 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 →

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 →

NadMesh Botnet Analysis: A Product-Grade Threat for the AI Service Era

NadMesh is a Go-based botnet observed in early July 2026 by QiAnXin's XLab that autonomously scans for and exploits exposed AI services — ComfyUI, Ollama, n8n, Open WebUI, Langflow, and Gradio — using a Shodan harvester (ai_harvest.py) to prioritize AI infrastructure and the MCP ecosystem. It folds scanning, 20+ RCE exploitation vectors (Redis, Docker, MCP, Kubernetes), credential/AI-service intelligence harvesting, polymorphic builds, and redundant persistence into a single productized platform; the operator's dashboard claims 3,811 unique AWS keys plus model inventories tagged as cloud services. Details →

CVE-2026-42271 - Red Hat Customer Portal

CVE-2026-42271 is an Important-severity (CVSS 8.8) flaw in LiteLLM, an AI gateway/proxy for LLM APIs, where two MCP-server preview endpoints accepted full server configurations including command-execution parameters without adequate role checks. An authenticated user with even low-privilege internal-user keys could send a crafted configuration to achieve arbitrary OS command execution on the proxy host; Red Hat notes known public exploits and the CVE is tracked in CISA's KEV catalog, with fixes shipped in LiteLLM v1.83.7-stable and Red Hat OpenShift AI / Ansible Automation Platform errata. 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 →

The Cursor deeplink vulnerability that turns a “review this PR” click into remote code execution

Adversa AI researcher Rony Utevsky details a Cursor IDE vulnerability (dubbed DeepJack) where a crafted `cursor://` deeplink installs 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 command in a single-line field so a malicious tail is pushed off-screen, and double-URL encoding disguises the `mcp/install` URI as a routine `pr-review` link. Cursor acknowledged the root cause but closed the reports as duplicates, and build 3.9.8 reportedly remains vulnerable. Details →

Miasma Supply Chain Attack: Azure Hit, 73 Repos Down, 37 PyPI Wheels

The Miasma supply-chain worm campaign expanded to poison Microsoft's Azure/durabletask GitHub repository with config files that execute a credential-harvesting payload the moment a developer opens the repo in AI coding tools like Claude Code, Gemini CLI, Cursor, or VS Code, triggering GitHub to disable 73 Microsoft repositories including Azure/functions-action. Two days later the Hades variant dropped 37 malicious PyPI wheels across 19 packages using Python .pth startup hooks to run a Bun-powered credential stealer on every interpreter launch, with Socket tracking 448 affected artifacts across npm and PyPI. Details →

One-Click Data Exfiltration via rovoChatPrompt URL Parameter (Confluence / Rovo) - CrowdStream

A disclosed and now-patched vulnerability in Atlassian Rovo, the default AI assistant across Confluence and other Atlassian products, allowed the `rovoChatPrompt` URL parameter to preload an arbitrary prompt into a victim's Rovo chat. When an authenticated user clicked a crafted link, Rovo executed the embedded prompt as a genuine query, using indirect task-framed language ('help me identify this image') to bypass guardrails and exfiltrate Confluence pages, secrets, and connected-app data (Jira, SharePoint, Outlook) to an attacker host via an image-fetch URL. Atlassian remediated the issue server-side and the reporter validated the fix. 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 →

DuneSlide: Two Critical RCE vulnerabilities

Cato AI Labs disclosed two critical vulnerabilities in Cursor IDE, dubbed DuneSlide (CVE-2026-50548 and CVE-2026-50549, both CVSS 9.8), that allow zero-click prompt injection to escape the editor's command sandbox and achieve remote code execution. CVE-2026-50548 abuses the run_terminal_cmd tool's working_directory parameter to add attacker-chosen folders to the allowed-write list, letting an attacker overwrite the cursorsandbox binary or shell startup files and turn sandboxed commands into full system compromise. Cursor patched both in version 3.0, released April 2; earlier 2.x builds remain exposed. Details →

Unauthorized Publication of a Malicious npm Package affecting CI

Jscrambler disclosed that a threat actor used compromised npm publishing credentials to publish a malicious version of its 'jscrambler' npm package (versions 8.14, 8.16, 8.17, 8.20), which ran an infostealer during the preinstall hook and was downloaded around 1,479 times in a two-hour window. Per Socket's analysis, the malware harvested developer credentials, cloud secrets, crypto wallets, browser data, and notably AI coding tool and MCP configurations (Claude, Cursor, Windsurf, VS Code, Zed), using ChaCha20-Poly1305 obfuscation to resist analysis. Jscrambler revoked credentials and released a safe version 8.22. 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 →

Understanding Langflow CVE-2026-55255, and why higher CVSS vulnerabilities aren't always the most exploited

CISA added CVE-2026-55255, an actively exploited Insecure Direct Object Reference (IDOR) authorization-bypass flaw in the Langflow visual framework for building AI agents, to its Known Exploited Vulnerabilities catalog and ordered federal agencies to patch it. The flaw lets authenticated attackers access other users' flows via the /api/v1/responses endpoint using a victim's flow UUID, and Sysdig observed in-the-wild exploitation aimed at leaking API keys, delivering second-stage loaders, and stealing LLM/cloud credentials and compute. Details →
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