AST07 — Update Drift

Severity: Medium
Platforms Affected: All

Description

Skills are installed and forgotten. Without immutable pinning and automated update verification, deployed skills drift out of sync with known-good versions — either because patches are not applied (leaving known vulnerabilities open) or because auto-update mechanisms blindly apply upstream changes that may themselves be malicious.

Why It’s Unique to Skills

Package update drift is a known risk in traditional software. In skills, it’s amplified by two factors: (1) skills are often installed by individuals without enterprise patch management, and (2) a “fix” version of a skill is itself unverifiable without cryptographic pinning — the attacker can push a “v1.0.1” that looks like a patch but contains a new payload.

Real-World Evidence

  • ClawJacked (CVE-2026-28363, CVSS 9.9) and the broader OpenClaw CVE cluster (9 CVEs, 3 with public exploit code): the patch-lag window between disclosure and user update created an active exploitation window. SecurityScorecard confirmed 12,812 OpenClaw instances exploitable via RCE at time of analysis.
  • Claude Code CVE-2025-59536: fixed in v1.0.111 (Oct 2025); CVE-2026-21852: fixed in v2.0.65 (Jan 2026). Gap of months between fix and public disclosure — users unaware of risk for the duration.
  • OpenClaw’s hot-reload SkillsWatcher enables real-time skill updates: a compromised upstream skill repository becomes instantly active without requiring agent restart.
  • Air Security, SkillJacking (Jul 2, 2026): published skills can be taken over outright — the most popular video-generation skill on skills.sh (11,483 installs) served its files live from a GitHub repo whose owner account had been deleted; researchers re-registered the username and controlled what every install received from that moment on. Victims needed no update to be affected — just one more use. In total, 925 skills (~134K agents) sat on such instantly hijackable sources, and the takeover itself tripped no scanner.
  • Air Security, The Circus of Skills (Jun 24, 2026): 17,822 skills (~12.4% of 142,836 scanned; 6.7M installs) rest on at least one untrusted external resource — including binaries fetched from a repo’s releases/latest — content that can drift malicious underneath a deployed skill without any version change or update event.

Attack Scenarios

Malicious Update

Trusted skill author’s account is compromised; attacker pushes v2.0 with a payload. Auto-updating agents receive it silently.

Patch-Lag Exploitation

CVE is disclosed; attacker weaponizes it before users patch. 12,812 instances exploitable in the OpenClaw case.

Rollback Attack

Attacker forces a downgrade to a known-vulnerable version via dependency resolution manipulation.

Hot-Reload Abuse

Skill directory is writable; attacker modifies SKILL.md mid-session; agent picks up changes without restart.

Preventive Mitigations

  1. Pin all installed skills to immutable content hashes (sha256:), not version ranges.
  2. Require cryptographic signature verification on every update — refuse unsigned updates.
  3. Implement a “freeze” mode for production deployments; prohibit hot-reload in non-development environments.
  4. Subscribe to registry security advisories and auto-alert on CVE matches for installed skills.
  5. Enforce a human-in-the-loop approval step for any skill update in enterprise environments.
  6. Maintain an inventory of installed skills with version, hash, and last-verified timestamp.

OWASP Mapping

  • LLM03 (Supply Chain)
  • CWE-1329 (Reliance on Component Without Verification)
  • ASVS V14.2 (Dependency)

MAESTRO Framework Mapping

MAESTRO Layer Layer Name AST07 Mapping
Layer 4 Deployment & Infrastructure insecure update pipelines, config drift
Layer 6 Security & Compliance update policy, verification enforcement
Layer 7 Agent Ecosystem cross-registry trust and update governance

MAESTRO Layer Details

  • Layer 4: Deployment & Infrastructure - unsafe automatic update and runtime drift.
  • Layer 6: Security & Compliance - requirements for signed updates, patch policy.
  • Layer 7: Agent Ecosystem - registry trust and cross-platform update consistency.

Cross-References

  • AST01 (Malicious Skills): Update drift can introduce malicious code through compromised updates.
  • AST02 (Supply Chain Compromise): Unverified updates are a supply chain attack vector.
  • AST04 (Insecure Metadata): Update metadata may be spoofed to hide malicious changes.
  • AST05 (Untrusted External Instructions): Referenced external content can drift maliciously with no version change to the pinned skill.
  • AST08 (Poor Scanning): Updated skills may not be re-scanned, allowing new vulnerabilities.
  • AST09 (No Governance): Lack of update policies enables uncontrolled drift.

References


Last updated: March 2026


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Leadership & Founding Members

Project Leadership

Current Leaders

Ken Huang

Ken Huang

Hammad Atta

Hammad Atta

Fabio Cerullo

Fabio Cerullo

Aonan Guan

Aonan Guan

Bhavya Gupta

Bhavya Gupta

Niv Hoffman

Niv Hoffman

Iftach Orr

Iftach Orr

Akram Sheriff

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

Rob Joyce

Advisor to PwC and OpenAI, Former Special Assistant to the President and Cybersecurity Coordinator

Jason Clinton

Jason Clinton

Deputy CISO, Anthropic

Amy R. Steagall

Amy R. Steagall

Chief Information Security Officer, Stanford University

Martin Stanley

Martin Stanley

AI Risk Management Framework Lead, NIST

Apostol Vassilev

Apostol Vassilev

Research Supervisor, NIST

Andrew Coyne

Andrew Coyne

CISO, Banner Health, Former CISO, Mayo Clinic

Kevin Rocque

Kevin Rocque

Managing Director/Executive Vice President, Global Technology Risk Officer, TD Bank

Jeff Williams

Jeff Williams

Former Global OWASP Chair, Founder and CTO, Contrast Security

Michael Tran Duff

Michael Tran Duff

University Chief Information Security and Data Privacy Officer, Harvard University

Emil Bender Lassen

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

Ken Huang

Project Lead, Agentic Skills Top 10

Hammad Atta

Hammad Atta

Co-Lead, Agentic Skills Top 10

Manish Bhatt

Manish Bhatt

Security Researcher, AWS

Fabio Cerullo

Fabio Cerullo

Co-Lead, Agentic Skills Top 10

David Girard

David Girard

Senior Director, AI Security & AI Alliances, Trend Micro

Aonan Guan

Aonan Guan

Co-Lead, Agentic Skills Top 10

Bhavya Gupta

Bhavya Gupta

Co-Lead, Agentic Skills Top 10

Pamela Gupta

Pamela Gupta

Founder & CEO, OutSecure / Trusted AI

Idan Habler

Idan Habler

Staff AI/ML Security Researcher, Intuit

Niv Hoffman

Niv Hoffman

CTO, Air Security

Charles Iheagwara

Charles Iheagwara

AI/ML Security Leader, AstraZeneca

Sushmitha Janapareddy

Sushmitha Janapareddy

Director - Security Integrations, American Express

Edward Lee

Edward Lee

Vice President, Lead AI Security, JP Morgan

KJ Lian

KJ Lian

Senior Manager, Data & AI (Public Sector), AWS

Vineeth Sai Narajala

Vineeth Sai Narajala

Application Security, AWS

Iftach Orr

Iftach Orr

Co-Lead, Agentic Skills Top 10

Kanna Sekar

Kanna Sekar

Cyber Security, Google

Akram Sheriff

Akram Sheriff

Co-Lead, Agentic Skills Top 10

Dennis Xu

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

Sunil Agrawal

Chief Information Security Officer, Glean

David Ames

David Ames

Partner, PwC

Michael Bargury

Michael Bargury

Founder and CTO, Zenity

Joshua Beck

Joshua Beck

Application Security Architect, SAS

Manish Bhatt

Manish Bhatt

Security Researcher, Amazon Kuiper Security

Mark Breitenbach

Mark Breitenbach

Security Engineer, Dropbox

Anat Bremler-Barr

Anat Bremler-Barr

Professor of Computer Science, Tel Aviv University

Siah Burke

Siah Burke

HIPAA Security Officer, Siah.ai

David Campbell

David Campbell

AI Security, Scale AI

Ying-Jung Chen

Ying-Jung Chen

AI safety researcher, PhD, Georgia Institute of Technology

Anton Chuvakin

Anton Chuvakin

Security Solution Strategy, Google

Jason Clinton

Jason Clinton

CISO, Anthorphic

Adam Dawson

Adam Dawson

Staff AI Security Researcher, Dreadnode

Leon Derczynski

Leon Derczynski

Principal Research Scientist, NVIDIA

Walker Lee Dimon

Walker Lee Dimon

AI Security Researcher, MITRE

Marissa Dotter

Marissa Dotter

AI Security Researcher, MITRE

Dan Goldberg

Dan Goldberg

ISO Market Lead, Omnicom

David Haber

David Haber

CEO, Lakera

Idan Habler

Idan Habler

Staff AI/ML Security Researcher, Intuit

Jason Haddix

Jason Haddix

Founder, Arcanum Information Security

Keith Hoodlet

Keith Hoodlet

Director of AI/ML & AppSec, Trail of Bits

Ken Huang

Ken Huang

AIVSS Project Lead, OWASP

Chris Hughes

Chris Hughes

CEO, Aquia

Charles Iheagwara

Charles Iheagwara

AI/ML Security Leader, AstraZeneca

Krystal Jackson

Krystal Jackson

Researcher, Center for Long-Term Cybersecurity, UC Berkeley

Sushmitha Janapareddy

Sushmitha Janapareddy

Director - Security Integrations, American Express

Rob Joyce

Rob Joyce

Former Cybersecurity Director of NSA, Advisor to PwC, PwC

Diana Kelley

Diana Kelley

CISO, Noma Security

Prashant Kulkarni

Prashant Kulkarni

Lead AI Security Research Engineer, Google Cloud

Mahesh Lambe

Mahesh Lambe

Founder, MIT, Unify Dynamics

Edward Lee

Edward Lee

Vice President, Lead AI Security, JP Morgan

Nate Lee

Nate Lee

CEO, Cloudsec.ai

Vishwas Manral

Vishwas Manral

CEO, Precize.ai

Daniela Muhaj

Daniela Muhaj

Executive-in-Residence for Research & Development, AI 2030

Vineeth Sai Narajala

Vineeth Sai Narajala

Application Security, AWS

Om Narayan

Om Narayan

AI Security Researcher, AWS

Varun Pant

Varun Pant

Engineering and Product Leader, AI applications at the Automated Reasoning Group, AWS

Advait Patel

Advait Patel

Senior Site Reliability Engineer (DevSecOps + Cloud + AIOps), Broadcom, IEEE

Alex Polyakov

Alex Polyakov

CEO, adversa.ai

Ramesh Raskar

Ramesh Raskar

Professor & Director, MIT Media Lab

Ron F. Del Rosario

Ron F. Del Rosario

VP-Head of AI Security, SAP

Tal Shapira

Tal Shapira

Co-Founder & CTO, Reco AI

Akram Sheriff

Akram Sheriff

Senior AI/ML Software Engineering Leader, Cisco

Samantha Siau

Samantha Siau

Security and Compliance, Anthropic

Kevin Simmonds

Kevin Simmonds

Partner on AI Offensive Security, PWC

Martin Stanley

Martin Stanley

NIST AI RMF Lead, Independent

Omar A. Turner

Omar A. Turner

General Manager of Security, Microsoft

Apostol Vassilev

Apostol Vassilev

AI Research Team Supervisor, NIST

Matthew Versaggi

Matthew Versaggi

AI Fellow, White House Presidential Innovation Fellow

David Webb

David Webb

Agency Cybersecurity Officer, Cybersecurity and Infrastructure Security Agency

Dennis Xu

Dennis Xu

Research VP, AI, Gartner

Xiaochen Zhang

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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