CLEAN
12
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0002
Heuristics 3
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Fake invoice / payment lure low SE_INVOICE_LUREDocument contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
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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://en.wikipedia.org/wiki/MIT_License In PDF document text
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0002e5f2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x2E5F2 | 15636 bytes |
SHA-256: 4d7e419859b0fee9945df7f849aa7ee20846d88d53a2f471569235df4c355d80 |
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font_01_sfnt_off0003024a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x3024A | 17384 bytes |
SHA-256: 502b658777a918601747c4b9801c4b833131ac07d44f2d4da338fd1de1717e86 |
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