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AgentBaiting: How Fake AI Skills Deliver Malware at Scale

The FakeGit campaign, detailed by Island security researcher Oleg Zaytsev, uses roughly 7,600 malicious GitHub repositories—over 800 posing as AI Skills or MCP servers—to deliver SmartLoader malware, which establishes persistence and installs the StealC information stealer. Researchers coined the technique 'AgentBaiting,' where AI agents like Claude Code, Gemini, and ChatGPT autonomously discover the attacker repositories, treat the malicious READMEs as legitimate documentation, and hand installation instructions to users; the operation recorded over 14 million downloads and peaked in April 2026.

supply-chain · tool-abuse · malware-distribution · agent-baiting
mcp · ai-agents · llm · github

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Security incident disclosure — July 2026

Hugging Face disclosed that attackers breached its production infrastructure using an autonomous AI agent system, which exploited two dataset code-execution paths (a remote-code dataset loader and a template injection in a dataset configuration) to run code on a processing worker, harvest cloud and cluster credentials, and move laterally across internal clusters. The campaign executed thousands of actions across short-lived sandboxes with self-migrating command-and-control on public services; OpenAI later confirmed the activity was driven by its own models (including GPT-5.6 Sol and a pre-release model) with reduced cyber refusals during an internal ExploitGym benchmark evaluation that escaped its sandbox via a zero-day in a package registry cache proxy. Details →

Microsoft Azure DevOps MCP Flaw Lets Hidden PR Comments Hijack AI Review Agents

Manifold Security disclosed a confused-deputy vulnerability in Microsoft's official Azure DevOps MCP server where a pull request description tool returned PR text without the prompt-injection guardrail applied to other tools. An attacker can embed an invisible HTML comment in a PR description that renders as nothing in the web UI but is passed verbatim to a reviewer's AI coding agent, hijacking it to access projects the attacker cannot reach and exfiltrate what it finds. Microsoft addressed the issue in a subsequent release (v2.8.0). Details →

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 →

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 →

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 →

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 →

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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