The FACT Attribution Framework v1.0 is a legally grounded investigative model designed to bridge the gap between technical digital evidence and human attribution. Unlike traditional DFIR and incident-response frameworks that focus on documenting activity, FACT provides a structured, end-to-end method for establishing who performed a digital action, how that conclusion is supported, and whether it can withstand legal, administrative, or organizational scrutiny. Version 1.0 defines the framework’s four stages: Forensic Compliance, Analyze Evidence, Correlate & Sequence, and Testify & Transfer Findings, and formalizes the attribution pathway connecting artifacts to accountable individuals. This release includes the v1.0 specification and reflects multidisciplinary expert review from practitioners, attorneys, analysts, and instructors across the digital-forensics and investigative community.