MITRE ATLAS 2026.09 / technique reference

AML.T0068
LLM Prompt Obfuscation

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Generative AI Agentic AI Defense EvasionSource maturity: Realized

MITRE source definition

Adversaries may hide or otherwise obfuscate prompt injections or retrieval content to avoid detection from humans, large language model (LLM) guardrails, or other detection mechanisms.

Text inputs may be obfuscated by modifying how the instructions are rendered, such as small font, text colored the same as the background, or hidden HTML elements. Similarly, approaches for other modalities include low-contrast or tiny text placed inside an image, text overlaid on a busy or camouflaging background, instructions spoken faintly or sped up in audio, or text shown briefly in a single video frame.

Inputs can also be obscured via an encoding scheme such as base64 or rot13. This may bypass LLM guardrails that identify malicious content and may not be as easily identifiable as malicious to a human in the loop.

Source modified 2026-09-15. Reproduced from the pinned ATLAS release; inline technique links resolve to local reference pages.

No explicit relationship in this pinned source.

Source-backed defensive context

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These are explicit source relationships, not independently reproduced incidents or validated detection coverage.

Simulation and telemetry boundary

This is a technique reference page, not a runnable simulation. No ATLAS-specific telemetry mapping, local attack execution or detector validation is asserted. MITRE maturity describes its source evidence, not a 1200km lab result.

For broader context—not technique-specific control mappings—see AI Security, AI Security Course, and detection-validation methodology.

Provenance and attribution

Immutable MITRE ATLAS source · Import provenance · Attribution and transformation notice · Apache License 2.0