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惡意「What Would Elon Do?」技能登 OpenClaw 榜首

惡意「What Would Elon Do?」技能登 OpenClaw 榜首
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🦞閱讀原文: OpenClaw.report
#prompt-injection#data-exfiltration#security-scanopenclaw

💡Top OpenClaw skill had 9 vulns (exfil, injection)—downloaded 1000s times. Vet your skills!

⚡ 30-Second TL;DR

有什麼變化

「What Would Elon Do?」技能登 OpenClaw 庫榜首

為什麼重要

凸顯社群貢獻 AI 技能庫的風險。使用者面臨資料竊取與注入漏洞。促使平台加強審核與掃描流程。

下一步行動

Audit your OpenClaw skills with Cisco AI Defense scanner for prompt injection flaws.

誰應關注:Enterprise & Security Teams

關鍵要點

  • 「What Would Elon Do?」技能登 OpenClaw 庫榜首
  • Cisco AI Defense 發現 9 項漏洞包括資料外洩
  • 漏洞涵蓋提示注入攻擊
  • 被數千不知情使用者下載

🧠 深度解析

背景與延伸:來自公開資料,非原文內容。引用 6 個來源。

🔑 增強重點摘要

  • 'What Would Elon Do?' skill topped OpenClaw's ClawHub repository, identified by Cisco's AI Defense as malware with nine vulnerabilities including data exfiltration and prompt injection[1].
  • Over 230 malicious skills documented in OpenClaw's ecosystem by early February 2026, targeting credentials like crypto keys[1].
  • OpenClaw partnered with VirusTotal for multi-stage scanning of skills using SHA-256 hashing, AI analysis, and daily rescans to block malware[2].
  • Malicious skills often use social engineering like prerequisites to deliver malware, mimicking legitimate tools such as Twitter or CRM assistants[1][5].
  • OpenClaw (formerly Moltbot) hired security expert Jamieson O’Reilly and plans threat model, security roadmap, code review, and vulnerability reporting process[2].
📊 競品分析▸ Show
FeatureOpenClawClaude SkillsOpenAI Custom GPTs
ExtensibilityCommunity skills for API, workflowsSimilar instruction setsCustom GPTs with actions
Security ScanningVirusTotal partnership, multi-stage AI scansNot detailed in sourcesNot detailed in sources
Vulnerabilities Reported230+ malicious skillsNo specific incidentsNo specific incidents
Benchmarks#1 malicious skill downloaded thousandsN/AN/A

🛠️ 技術深入

  • Skills are instruction sets and code for agent capabilities like API interactions, email reading, CRM access, Slack integration[1].
  • Scanning: ZIP packaging with metadata, SHA-256 hash check against VirusTotal, API submission for new files, benign auto-release, malicious block, daily rescans[2].
  • Vulnerabilities: Data exfiltration to attacker servers, prompt injection bypassing safety, credential harvesting, unauthorized commands, malware download[1][2].
  • Architecture: Agentic AI with dynamic skill loading, modular for maintainability; integrates tools like Telegram, Reddit API[3][4].

🔮 前景展望AI analysis grounded in cited sources

OpenClaw incident highlights agentic AI supply chain risks, necessitating identity observability, skill provenance, mediated permissions, and continuous auditing to prevent widespread credential theft and unauthorized actions as adoption grows[1][5].

時間線

2026-01
OpenClaw (formerly Moltbot) gains traction with tutorials on architecture and skill creation[3]
2026-01-27
Security researchers begin documenting malicious skills on ClawHub[1]
2026-01-29
Backdoored 'safe' skill published as test, downloaded thousands of times[1]
2026-01-30
Fake 'ClawdBot Agent' VS Code extension identified as credential harvester[1]
2026-02-01
Malicious skills count reaches 230+, targeting crypto credentials[1]
2026-02
Cisco AI Defense scans reveal nine vulnerabilities in #1 'What Would Elon Do?' skill; OpenClaw partners with VirusTotal, hires security advisor[1][2]
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原始來源: OpenClaw.report

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