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"AI Worm" in Microsoft Word: Unpatched Copilot Prompt-Injection Class Confirmed by Microsoft (Måløy "Context Collapse Part 3")

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0.50 / 5.0 · CVSS + content signals
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theregister.com first seen 73d ago

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  1. original reporting

    "AI Worm" in Microsoft Word: Unpatched Copilot Prompt-Injection Class Confirmed by Microsoft (Måløy "Context Collapse Part 3")

    theregister.com · 73d ago · August 2nd, 2026

    Underlying research broke Jul 29 (The Register, THN, Malwarebytes, CSO Online); it was missed by prior digests and only reached today's feed via a SOCFortress vendor summary. Surfaced now because the class remains unpatched and Microsoft-confirmed.

    Researcher Håkon Måløy (of the Morris II AI-worm lineage) demonstrated a self-propagating prompt-injection worm in Microsoft Copilot for Word, the third part of his "Context Collapse" series. The mechanism:

    • Instructions hidden as white-on-white text (invisible to humans) are passed to the LLM with formatting stripped, so Copilot reads them as clear, authoritative commands — hijacking the user's original request (a cross-domain prompt injection, XPIA).

    • Stage 2 propagation: the injected prompt commands Copilot to append the hidden payload to the documents it creates, framed as a "source-tracking/readability" requirement. The new file — authored by a trusted employee, clean of any malware signature — becomes a carrier that infects the next colleague's Copilot session via Work IQ scouting of OneDrive/SharePoint.

    • Demonstrated impact: in a mock-company PoC, a hidden prompt silently halved every numerical value in a financial report, with the AI rewriting surrounding narrative so changes evaded attentive reviewers. No audit trail exists to show an external "scouted" document influenced the output.

    Status: 144-day coordinated disclosure with Microsoft; Microsoft mitigated the specific PoC prompt, but rewording the payload re-enabled propagation, and the class survived model upgrades from GPT-4 through GPT-5.5/5.6. Microsoft confirmed the finding; no architectural fix exists because the model cannot structurally separate "data" from "instruction."

    Action: Treat documents from outside the org — or from broad internal shares — as untrusted AI context; verify which files Copilot selects before generating; manually audit AI-produced financials against raw sources; push for provenance/metadata standards on AI-influenced documents.


Covered in

digest 2026-08-02

Source on GitHub