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analyzing-malicious-onenote-and-html-smuggling

Analyzes two modern delivery techniques: malicious OneNote (.one) attachments with embedded payloads behind fake buttons, and HTML smuggling pages that reconstruct payloads in the browser from embedded blobs. Activates for requests to analyze a malicious OneNote file, detect HTML smuggling, or extract a smuggled/embedded payload.

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설치 방법 보기

포함된 파일(4)

  • SKILL.md3.1 KB
  • LICENSE340 B
  • references/api-reference.md1.1 KB
  • scripts/analyst.py2.4 KB

SKILL.md(원문)

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Analyzing Malicious OneNote and HTML Smuggling

When to Use

  • You have a OneNote (.one) attachment suspected of hiding an embedded executable/script behind a "click to view" lure.
  • You have an HTML/SVG page that reconstructs and auto-downloads a payload from an embedded blob (HTML smuggling).
  • You need to extract the hidden payload without triggering the lure.

Do not use OneNote or a browser to open these files for analysis — that is exactly the delivery mechanism. Carve the embedded data statically.

Prerequisites

  • A static carver (Python) for embedded file signatures; the sample handled inertly.

Safety & Handling

  • Never open the .one in OneNote or the HTML in a browser.
  • Defang URLs and store carved payloads password-protected.

Workflow

Step 1: For OneNote — carve embedded files

OneNote stores attached files in the document. Scan for embedded file signatures (MZ, script headers, archives) and the FileDataStoreObject GUIDs, and carve them out.

python scripts/analyst.py carve sample.one

Step 2: For HTML smuggling — find the embedded blob

Look for large base64/Blob/Uint8Array constructions, data: URIs, and a JS routine that builds a Blob and triggers a download (msSaveOrOpenBlob, anchor download, createObjectURL).

Step 3: Reconstruct the payload statically

Decode the embedded base64/byte array (and any XOR/char-code layer) to recover the payload as data — without executing the page.

Step 4: Analyze and extract IOCs

Hash carved payloads, identify their type, defang any URLs, and route executables/scripts to the appropriate analysis workflow.

Validation

  • Embedded payloads are carved/reconstructed from the inert file, not by opening it.
  • The recovered payload's type is identified and hashed.
  • The lure/trigger mechanism (fake button, Blob download) is documented.

Pitfalls

  • Opening the OneNote/HTML to "see" the lure and executing the payload.
  • Decoding only the first layer when the blob is additionally XOR/char-code encoded.
  • Missing multiple embedded objects in a single OneNote page.

References

리뷰

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