MITRE ATLAS 2026.09 / technique reference

AML.T0091.001
Web Session Cookie

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Predictive AILateral MovementSource maturity: Demonstrated

MITRE source definition

Adversaries may use stolen web session cookies to authenticate to AI-enabled applications and supporting services as another user. This technique may bypass some multi-factor authentication controls because the session represented by the cookie has already been authenticated.

Authentication cookies are commonly used by web applications and cloud-based services after a user has authenticated, allowing the user to continue using the service without repeatedly passing credentials. These cookies may remain valid for extended periods of time. After obtaining a cookie through [Steal Web Session Cookie](/techniques/AML.T0103), an adversary may import the cookie into a browser or automated client they control and access the corresponding application as the victim while the session remains active.

In attacks on AI systems, web session cookies may grant access to AI chat histories, AI agent control panels, model provider dashboards, customer support systems, retrieval or knowledge management interfaces, or AI DevOps resources. If the stolen cookie belongs to an operator, support agent, developer, or administrator, the adversary may be able to view sensitive conversations, manipulate agent configuration, access private data available through AI tools, or perform actions with the victim account's permissions.

Source modified 2026-06-30. Reproduced from the pinned ATLAS release; inline technique links resolve to local reference pages.

Source-backed defensive context

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MITRE case studies

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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

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