AST06 — Weak Isolation
Severity: High
Platforms Affected: All
Description
Skills execute in the same security context as the host agent — with full file system access, shell access, and network egress — because sandboxing is either unavailable, optional, or disabled by default. This removes all containment guarantees and turns every installed skill into a potential full-system compromise.
Why It’s Unique to Skills
Traditional software sandboxing is an engineering default with well-understood tooling (containers, VMs, seccomp). The agent skill ecosystem has grown so rapidly that sandboxing is an afterthought — and the agents themselves are designed to have broad permissions, making scope reduction architecturally non-trivial.
Real-World Evidence
- OpenClaw documentation (2026): “tools run on the host for the main session, so the agent has full access when it’s just you.” Docker sandboxing is available but requires explicit configuration that most users never apply.
- SecurityScorecard (Feb 2026): 135,000+ OpenClaw instances publicly internet-exposed on TCP port 18789; no default firewall, authentication, or process isolation.
- Microsoft Defender advisory (Feb 2026): explicitly warned that OpenClaw “should be treated as untrusted code execution with persistent credentials” and “is not appropriate to run on a standard personal or enterprise workstation.”
- ClawJacked (CVE-2026-28363, CVSS 9.9): Web-based attack against locally-bound agent instance — cross-origin WebSocket brute force bypassed all isolation assumptions of a localhost-only deployment.
Attack Scenarios
Host Escape
Malicious skill executes os.system() to plant a cron job on the host, persisting beyond skill uninstall.
Network Pivot
Agent with no network sandbox egresses to an attacker C2, exfiltrates credentials from other co-located services.
Skill Shadowing
OpenClaw’s three-tier precedence system (workspace > managed > bundled) allows an attacker who plants a skill in a workspace folder to shadow legitimate built-in functionality — active immediately via hot-reload.
Localhost Attack Surface
Locally-bound agent WebSocket is reachable from any browser tab; malicious site brute-forces the session token.
Preventive Mitigations
- Require Docker/container isolation for skill execution by default; host-mode should require explicit opt-in with documented risk.
- Bind agent control interfaces to localhost with authentication; never
0.0.0.0by default. - Apply seccomp/AppArmor profiles to constrain agent syscall surface.
- Implement per-skill process isolation — each skill runs in its own namespace.
- Restrict skill hot-reload / workspace precedence; require explicit user confirmation for workspace skill overrides.
- Rate-limit and authenticate all WebSocket connections, including from localhost.
OWASP Mapping
- LLM08 (Excessive Agency)
- CWE-653 (Insufficient Compartmentalization)
- ASVS V12 (File/Resource)
MAESTRO Framework Mapping
| MAESTRO Layer | Layer Name | AST06 Mapping |
|---|---|---|
| Layer 4 | Deployment & Infrastructure | host/container isolation, runtime boundaries |
| Layer 6 | Security & Compliance | enforcement of isolation policies and least privilege |
| Layer 3 | Agent Frameworks | orchestrator sandboxing and process separation |
MAESTRO Layer Details
- Layer 4: Deployment & Infrastructure - default isolation & host containment.
- Layer 6: Security & Compliance - enforceable policies and access controls.
- Layer 3: Agent Frameworks - per-skill sandbox orchestration and lifecycle management.
Cross-References
- AST01 (Malicious Skills): Weak isolation allows malicious skills to escape sandboxes and access host resources.
- AST02 (Supply Chain Compromise): Compromised skills can exploit isolation weaknesses to persist.
- AST03 (Over-Privileged Skills): Host-mode execution bypasses permission controls entirely.
- AST04 (Insecure Metadata): Isolation failures can lead to code execution from deserialized data.
- AST09 (No Governance): Lack of isolation enforcement enables shadow deployments.
References
- Snyk ToxicSkills
- SecurityScorecard: 135,000+ OpenClaw instances exposed
- Microsoft Defender: OpenClaw Enterprise Security Advisory
- Oasis Security: ClawJacked (CVE-2026-28363)
Last updated: March 2026
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Leadership & Founding Members
Project Leadership
Current Leaders
Ken Huang
Hammad Atta
Fabio Cerullo
Aonan Guan
Bhavya Gupta
Niv Hoffman
Iftach Orr
Akram Sheriff
AIVSS Distinguished Review Board
The OWASP AIVSS project’s Distinguished Review Board comprises world-renowned cybersecurity leaders, former government officials, and industry pioneers who provide strategic guidance and expert oversight for the AI Vulnerability Scoring System framework. We thank them for their guidance, several of whom have also supported this project’s work.
Rob Joyce
Advisor to PwC and OpenAI, Former Special Assistant to the President and Cybersecurity Coordinator
Jason Clinton
Deputy CISO, Anthropic
Amy R. Steagall
Chief Information Security Officer, Stanford University
Martin Stanley
AI Risk Management Framework Lead, NIST
Apostol Vassilev
Research Supervisor, NIST
Andrew Coyne
CISO, Banner Health, Former CISO, Mayo Clinic
Kevin Rocque
Managing Director/Executive Vice President, Global Technology Risk Officer, TD Bank
Jeff Williams
Former Global OWASP Chair, Founder and CTO, Contrast Security
Michael Tran Duff
University Chief Information Security and Data Privacy Officer, Harvard University
Emil Bender Lassen
Standards Lead, AIUC-1
Agentic Skills Top 10 Founding Members
Founding members of the OWASP Agentic Skills Top 10 project itself — project leads, co-leads, and additional contributors — listed alphabetically. Several also contribute to the sibling OWASP AIVSS project listed above.
Ken Huang
Project Lead, Agentic Skills Top 10
Hammad Atta
Co-Lead, Agentic Skills Top 10
Manish Bhatt
Security Researcher, AWS
Fabio Cerullo
Co-Lead, Agentic Skills Top 10
David Girard
Senior Director, AI Security & AI Alliances, Trend Micro
Aonan Guan
Co-Lead, Agentic Skills Top 10
Bhavya Gupta
Co-Lead, Agentic Skills Top 10
Pamela Gupta
Founder & CEO, OutSecure / Trusted AI
Idan Habler
Staff AI/ML Security Researcher, Intuit
Niv Hoffman
CTO, Air Security
Charles Iheagwara
AI/ML Security Leader, AstraZeneca
Sushmitha Janapareddy
Director - Security Integrations, American Express
Edward Lee
Vice President, Lead AI Security, JP Morgan
KJ Lian
Senior Manager, Data & AI (Public Sector), AWS
Vineeth Sai Narajala
Application Security, AWS
Iftach Orr
Co-Lead, Agentic Skills Top 10
Kanna Sekar
Cyber Security, Google
Akram Sheriff
Co-Lead, Agentic Skills Top 10
Dennis Xu
Research VP, AI, Gartner
OWASP AIVSS Founding Members
The OWASP AIVSS (Agentic AI Vulnerability Scoring System) project is a sibling OWASP initiative focused on scoring the severity of agentic AI vulnerabilities. Its founding members are recognized here as OWASP founding members in the agentic AI security space; many of them have also contributed directly to the Agentic Skills Top 10 project’s research and review process.
Sunil Agrawal
Chief Information Security Officer, Glean
David Ames
Partner, PwC
Michael Bargury
Founder and CTO, Zenity
Joshua Beck
Application Security Architect, SAS
Manish Bhatt
Security Researcher, Amazon Kuiper Security
Mark Breitenbach
Security Engineer, Dropbox
Anat Bremler-Barr
Professor of Computer Science, Tel Aviv University
Siah Burke
HIPAA Security Officer, Siah.ai
David Campbell
AI Security, Scale AI
Ying-Jung Chen
AI safety researcher, PhD, Georgia Institute of Technology
Anton Chuvakin
Security Solution Strategy, Google
Jason Clinton
CISO, Anthorphic
Adam Dawson
Staff AI Security Researcher, Dreadnode
Leon Derczynski
Principal Research Scientist, NVIDIA
Walker Lee Dimon
AI Security Researcher, MITRE
Marissa Dotter
AI Security Researcher, MITRE
Dan Goldberg
ISO Market Lead, Omnicom
David Haber
CEO, Lakera
Idan Habler
Staff AI/ML Security Researcher, Intuit
Jason Haddix
Founder, Arcanum Information Security
Keith Hoodlet
Director of AI/ML & AppSec, Trail of Bits
Ken Huang
AIVSS Project Lead, OWASP
Chris Hughes
CEO, Aquia
Charles Iheagwara
AI/ML Security Leader, AstraZeneca
Krystal Jackson
Researcher, Center for Long-Term Cybersecurity, UC Berkeley
Sushmitha Janapareddy
Director - Security Integrations, American Express
Rob Joyce
Former Cybersecurity Director of NSA, Advisor to PwC, PwC
Diana Kelley
CISO, Noma Security
Prashant Kulkarni
Lead AI Security Research Engineer, Google Cloud
Mahesh Lambe
Founder, MIT, Unify Dynamics
Edward Lee
Vice President, Lead AI Security, JP Morgan
Nate Lee
CEO, Cloudsec.ai
Vishwas Manral
CEO, Precize.ai
Daniela Muhaj
Executive-in-Residence for Research & Development, AI 2030
Vineeth Sai Narajala
Application Security, AWS
Om Narayan
AI Security Researcher, AWS
Varun Pant
Engineering and Product Leader, AI applications at the Automated Reasoning Group, AWS
Advait Patel
Senior Site Reliability Engineer (DevSecOps + Cloud + AIOps), Broadcom, IEEE
Alex Polyakov
CEO, adversa.ai
Ramesh Raskar
Professor & Director, MIT Media Lab
Ron F. Del Rosario
VP-Head of AI Security, SAP
Tal Shapira
Co-Founder & CTO, Reco AI
Akram Sheriff
Senior AI/ML Software Engineering Leader, Cisco
Samantha Siau
Security and Compliance, Anthropic
Kevin Simmonds
Partner on AI Offensive Security, PWC
Martin Stanley
NIST AI RMF Lead, Independent
Omar A. Turner
General Manager of Security, Microsoft
Apostol Vassilev
AI Research Team Supervisor, NIST
Matthew Versaggi
AI Fellow, White House Presidential Innovation Fellow
David Webb
Agency Cybersecurity Officer, Cybersecurity and Infrastructure Security Agency
Dennis Xu
Research VP, AI, Gartner
Xiaochen Zhang
Executive Director and Chief Responsible AI Officer, AI 2030
Recognition
We extend our gratitude to all founding members who have contributed to establishing this crucial framework for AI security assessment. Their vision and dedication have been instrumental in shaping the Agentic Skills Top 10 project.
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