MALICIOUS
72
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0037
Heuristics 4
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exportDataObject + nLaunch — embedded-file launch-on-open dropper critical PDF_JS_EXPORT_LAUNCH_DROPPERPDF JavaScript calls exportDataObject() with nLaunch set, which extracts the document's embedded file and launches it in its default application. This is a launch-on-open dropper: the embedded file is the payload. No benign workflow auto-launches an extracted PDF attachment. (identified after nested-decoder de-obfuscation)
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Embedded file low PDF_EMBEDDEDPDF embeds a file attachment — could carry an executable or another weaponised document as a nested payload
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PDF paints image(s) but contains no text operators info PDF_IMAGE_ONLY_LUREPDF has 2 image XObject(s) and the content stream contains no text-emitting operators (BT/ET, Tj, TJ, ', ") in either raw bytes or decompressed streams — this is the screenshot-as-PDF pattern used to bypass text-based scanners and to deliver instructions purely through rendered pixels. It is informational unless paired with invisible links or risky URI context.
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Embedded URL info EMBEDDED_URLOne or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.URL http://schemas.openxmlformats.org/drawingml/2006/main In PDF document text
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
embedded_file_obj0082.bin |
pdf-embedded-file | PDF EmbeddedFile object 82 at offset 0x142AA6 | 267264 bytes |
SHA-256: 2fde10c8f19fc605f93d2b47646e8c0aca1da82f01b5e2c45e3f470abdf845ca |
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objstm_0001_00.bin |
pdf-objstm-decoded | PDF /ObjStm 1 0 obj (inflated) | 2643 bytes |
SHA-256: 594affe8cb362f644379742d3452aa11ec94dc84a203e710b803a161b4459401 |
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