AML.T0109: AI Supply Chain Rug Pull
Adversaries may publish legitimate AI components or software, gain user adoption, then push an update with a malicious variant, leading to AI Supply Chain Compromise. More scrutiny is often placed on a supply chain dependency when it is first being considered for inclusion in an AI system. Performing a rug pull may allow adversaries to bypass these defenses and be more likely to achieve Initial Access.
Adversaries may publish malicious AI components via Publish Poisoned Models, Publish Poisoned Datasets, or Publish Poisoned AI Agent Tool.
Adversaries may use other techniques (See AI Supply Chain Reputation Inflation) to gain user trust and increase adoption before performing the rug pull.
Standards mapping
Where this fits in a TurboPentest engagement
TurboPentest's agentic pentest is powerful and covers a broad range of issues automatically. This particular class is best confirmed in a manual IntegSec engagement, where human pentesters apply deeper methodology and a larger context window than any automated pass.
Frequently asked questions
What is AML.T0109 AI Supply Chain Rug Pull?
Adversaries may publish legitimate AI components or software, gain user adoption, then push an update with a malicious variant, leading to AI Supply Chain Compromise. More scrutiny is often placed on a supply chain dependency when it is first being considered for inclusion in an AI system. Performing a rug pull may allow adversaries to bypass these defenses and be more likely to achieve Initial Access. Adversaries may publish malicious AI components via Publish Poisoned Models, Publish Poisoned Datasets, or Publish Poisoned AI Agent Tool. Adversaries may use other techniques (See AI Supply Chain Reputation Inflation) to gain user trust and increase adoption before performing the rug pull.
Which tactics does AML.T0109 belong to?
AML.T0109 maps to the Defense Evasion tactic.
Does TurboPentest test for AI Supply Chain Rug Pull?
TurboPentest's agentic pentest is powerful and covers a broad range of issues automatically. This particular class is best confirmed in a manual IntegSec engagement, where human pentesters apply deeper methodology and a larger context window than any automated pass.
Related MITRE ATLAS techniques
- Initial Access, Defense Evasion, ImpactAML.T0015: Evade AI Model
- Privilege Escalation, Defense EvasionAML.T0054: LLM Jailbreak
- Defense EvasionAML.T0067: LLM Trusted Output Components Manipulation
- Defense EvasionAML.T0068: LLM Prompt Obfuscation
- Defense EvasionAML.T0071: False RAG Entry Injection
- Defense EvasionAML.T0073: Impersonation
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