Skip to content
cccskills
FreePublished on GitHub

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.

The English summary is being prepared. Showing the original description.

See how to install

Files included (4)

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

SKILL.md (original)

Review the instructions the agent will receive before you install.

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

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Reverses Android malware: unpacking APKs, decompiling DEX bytecode to readable Java, auditing the manifest for abused permissions and components, and locating dynamically loaded or native payloads. Activates for requests to analyze an APK, decompile DEX, or investigate a suspicious Android app.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes API call traces from a sandbox or API monitor (JSON) to group calls by category, reconstruct high-level behaviors (process injection, file drops, network, crypto), and flag suspicious call sequences. Activates for requests to analyze an API trace, interpret sandbox API logs, or identify behavior from Win32/Native API calls.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes Windows Authenticode signatures on PE files: checking for a signature, reading the signer certificate chain, detecting revoked/expired/stolen certs, and recognizing signature-stripping and catalog-signing abuse. Activates for requests to analyze a code signature, verify Authenticode, or assess signer trust on a PE.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes banking trojan webinject configurations to extract targeted institutions, injected JavaScript/HTML, and data-theft hooks, mapping the fraud workflow. Activates for requests to analyze banking trojan webinjects, parse a webinject config, or map targeted banks and credential-theft injections.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes Python-based malware packaged as PyInstaller/py2exe executables by detecting the packer, locating the embedded archive, and identifying bundled .pyc modules for extraction and decompilation. Activates for requests to analyze compiled Python malware, unpack a PyInstaller binary, or extract pyc modules from a frozen Python executable.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

Analyzes cryptojacking/coinminer malware by extracting mining pool endpoints (stratum), wallet addresses, algorithm and miner identifiers (XMRig and forks), and persistence or resource-control settings from static strings and config. Activates for requests to analyze a cryptominer, extract mining pool and wallet IOCs, or identify coinminer configuration.

The English summary is being prepared. Showing the original description.

meltedinhex/analyst-ai-pack22Updated Jul 7, 2026

See all skills by meltedinhex

Report a problem with this skill