AI Mitigation

Restrict Library Loading - AI Mitigation

Prevent abuse of library loading mechanisms in the operating system and software to load untrusted code by configuring appropriate library loading mechanisms and investigating potential vulnerable software. File formats such as pickle files that are commonly used to store AI models can contain exploits that allow for loading of malicious libraries.

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AI MitigationDeploymentTechnical - Cyber

Record summary

A quick snapshot of what this page covers.

Techniques3Attacks this defense is designed to help with.

Lifecycle1Where this defense applies in the AI lifecycle.

Categories1How the source groups this defense.

Control summary

What this defense is meant to help prevent.

ATLAS ID: AML.M0011
ATT&CK external ID: M1044
Priority score: 15

Deployment

Technical - Cyber

Covered techniques

Attacks this defense is designed to help with.

AML.T0011.001 - Malicious Package

realized

Restricting packages from loading external libraries can limit their ability to execute malicious code.

AML.T0011.000 - Unsafe AI Artifacts

realized

Restrict library loading by ML artifacts.

AML.T0011 - User Execution

realized

Restricting binaries from loading external libraries can limit their ability to execute malicious code.

Source

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Original source

Original source links

Open the public records and source datasets used for this page.

Repositoryhttps://github.com/mitre-atlas/atlas-data ATLAS.yamlhttps://github.com/mitre-atlas/atlas-data/blob/main/dist/ATLAS.yaml Schemahttps://github.com/mitre-atlas/atlas-data/blob/main/dist/schemas/atlas_output_schema.json MITRE ATT&CK mappinghttps://attack.mitre.org/mitigations/M1044/