OpenClaw users, this is a heads-up you actually need to read. Today, June 25, 2026, TechRadar reported that five new malicious skills on ClawHub have been identified and removed — the latest wave in an ongoing supply-chain attack campaign targeting OpenClaw’s skill marketplace. Two of the packages delivered macOS infostealers capable of exfiltrating credentials, crypto wallets, browser data, and your OpenClaw configuration files.

This is directly relevant to you if you install skills from ClawHub. And frankly, most OpenClaw users do.

What Happened

According to TechRadar’s report, this new batch of malicious skills is distinct from the ClawHavoc campaign documented earlier in February 2026. Where ClawHavoc used payload-in-readme techniques, this June wave uses a more sophisticated combination of techniques:

  1. Semantic instruction hijacking — malicious instructions embedded in SKILL.md files that manipulate the AI agent’s own reasoning to execute attacker-controlled steps
  2. Base64 curl-pipe-bash droppers — the classic one-liner attack that decodes and executes a remote payload, styled as a “prerequisite setup” or error-recovery step

The result: an OpenClaw agent that loads one of these skills can be instructed — without the user ever realizing — to run a shell command that downloads and executes Atomic macOS Stealer (AMOS), a commodity malware-as-a-service infostealer targeting macOS systems.

OpenClaw removed five packages today and banned the associated accounts.

Understanding the Attack Chain

This campaign is notable because it exploits the most fundamental thing that makes OpenClaw skills powerful: the agent reads and follows SKILL.md instructions. That same trust mechanism is the attack surface.

Here’s how the attack unfolds in simplified form:

  1. User installs a skill from ClawHub that appears legitimate (productivity tool, crypto assistant, developer helper)
  2. Agent loads the SKILL.md file, which contains hidden or obfuscated instructions
  3. Semantic hijacking triggers — instructions are worded to appear as “required setup steps” or error messages
  4. Agent executes a curl command that pipes a Base64-decoded payload to bash
  5. AMOS installs silently on the macOS host
  6. Infostealer exfiltrates credentials, browser data, crypto wallets, and OpenClaw config files back to attacker C2 infrastructure

Unit 42 from Palo Alto Networks reported on June 23, 2026 that five additional malicious skills had bypassed ClawHub’s existing VirusTotal and ClawScan screening — using tricks like inflated file sizes to evade detection. The June 25 removals appear to be a follow-up action based on that research.

Why ClawHub Is a Challenging Problem

ClawHub’s challenge is fundamentally similar to npm, PyPI, or any public package registry: the attack surface scales with the ecosystem. There are currently thousands of skills published on ClawHub, and the security model relies on a combination of:

  • Automated scanning (VirusTotal, ClawScan)
  • Community reporting
  • Post-publication review

The problem is that semantic instruction hijacking is hard to detect with static scanners. A skill file that tells an AI agent “if you encounter an error, run this command to fix it” can pass a malware scan cleanly — there’s no obviously malicious code, just malicious instructions that the agent will interpret at runtime. This is the novel attack surface that distinguishes OpenClaw skill attacks from traditional software supply chain attacks.

Dark Reading and GBHackers have both covered the broader ClawHub threat landscape; Palo Alto’s Unit 42 is tracking it as an active AI supply-chain risk category.

What You Should Do Right Now

Immediate steps:

  1. Audit your installed skills. In your OpenClaw installation, review the list of installed ClawHub skills. For any skill you don’t personally recognize or can’t trace to a trusted source, remove it.

  2. Read SKILL.md files manually. Before installing any new ClawHub skill, open and read its SKILL.md file. Look for unusual step sequences, unexplained prerequisites, curl commands, or base64 encoding. If something looks off, don’t install it.

  3. Stick to verified or official skills. The OpenClaw team and a handful of major ecosystem contributors maintain officially verified skills. These are lower risk than community-published packages.

  4. Check macOS for signs of AMOS. If you’ve installed unknown ClawHub skills in recent weeks, run a malware scan. AMOS exfiltrates from ~/Library/Keychains, browser profile directories, and crypto wallet paths. Signs of infection include unexpected keychain access prompts or unusual network traffic.

  5. Rotate credentials if compromised. If you think you may have been hit, assume your browser-saved passwords and any crypto wallets accessible from that machine are compromised. Rotate immediately.

The Broader Context

This campaign represents an evolution in AI agent security threats. The February 2026 ClawHavoc campaign established that ClawHub was a viable malware distribution vector. Today’s wave shows that attackers are iterating — they’re learning from what ClawHub’s scanner catches and developing techniques that evade automated detection while exploiting the AI agent’s own instruction-following behavior.

For anyone building or deploying OpenClaw-based systems, this is a signal that skill provenance and review must become part of your security posture, not an afterthought. The convenience of one-click skill installation is real — but so is the risk.

OpenClaw’s team is actively working on the problem, but in a public marketplace, the community’s vigilance matters too. Report suspicious skills. Review before you install. The agentic AI ecosystem is maturing fast — and so are the threats against it.

⚠️ Note: This story broke today (June 25, 2026) and is primarily sourced from TechRadar’s initial report. Additional details may emerge as security researchers publish further analysis.

Sources

  1. Multiple malicious OpenClaw skills found online, including two macOS infostealers — TechRadar
  2. Malicious OpenClaw skills, ClawHub threaten AI supply chain — Dark Reading
  3. OpenClaw AI supply chain risk — Palo Alto Networks Unit 42
  4. When SKILL.md becomes an installer — Penligent AI

Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260625-0800

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