AID-H-022: Dependency Change Vetting & Sandboxed Installation
Scope boundary
Owns pre-merge dependency-change risk review and isolated deterministic installation of already-approved immutable package bytes. It does not make the authoritative final admission decision for the exact dependency population consumed by build or deployment.
AID-H-003.001: AID-H-022 reviews proposed changes and contains installation; AID-H-003.001 admits the complete exact package population resolved for the build or deployment. Review and sandbox evidence support but cannot replace final byte-level admission.
AID-H-023: AID-H-022 owns change risk and hostile installation behavior; AID-H-023 owns publisher identity, registry workflow, trusted CI release origin, and package provenance. A trusted publisher can ship a risky change, and a safe-looking change can come from a compromised publisher path.
Sub-techniques
Threat mappings
MITRE ATLAS
- AML.T0010 AI Supply Chain Compromise
- AML.T0010.001 AI Supply Chain Compromise: AI Software
- AML.T0010.005 AI Supply Chain Compromise: AI Agent Tool
- AML.T0011 User Execution
- AML.T0011.001 User Execution: Malicious Package
- AML.T0025 Exfiltration via Cyber Means
- AML.T0060 Publish Hallucinated Entities
- AML.T0072 Cyber Communication Channel
- AML.T0074 Masquerading
- AML.T0109 AI Supply Chain Rug Pull
- AML.T0111 AI Supply Chain Reputation Inflation
- AML.T0115 Publish Poisoned AI Artifacts
- AML.T0115.002 Publish Poisoned AI Artifacts: AI Agent Tools
- AML.T0119 Exploit Automated Artifact Processing Pipeline
MAESTRO
- Compromised Framework Components (L3)
- Supply Chain Attacks (Cross-Layer)
- Lateral Movement (Cross-Layer)
OWASP LLM Top 10 2026
- LLM04:2026 Supply Chain
OWASP ML Top 10 2023
- ML06:2023 AI Supply Chain Attacks
OWASP Top 10 for Agentic Applications 2026
- ASI04:2026 Agentic Supply Chain Vulnerabilities
- ASI05:2026 Unexpected Code Execution (RCE)
NIST Adversarial Machine Learning 2025
- N/A
Cisco Integrated AI Security and Safety Framework
- AITech-9.3 Dependency / Plugin Compromise
- AISubtech-9.3.1 Malicious Package / Tool Injection
- AISubtech-9.3.2 Dependency Name Squatting (Tools / Servers)
- AISubtech-9.3.3 Dependency Replacement / Rug Pull
Google Secure AI Framework 2.0 - Risks
- MST: Model Source Tampering
- IIC: Insecure Integrated Component
Databricks AI Security Framework 3.0
- Algorithms 5.4: Malicious libraries
- Model 7.3: ML Supply chain vulnerabilities
- Agents - Core 13.11: Unexpected RCE and Code Attacks
- Agents - Tools MCP Server 13.18: Tool Poisoning
- Agents - Tools MCP Server 13.21: Supply Chain Attacks