CLEAN
10
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0064
Heuristics 2
-
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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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://www.w3.org/1999/02/22-rdf-syntax-ns# In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://en.wikipedia.org/wiki/MIT_LicenseIn extracted file (font_00_sfnt_off0000bafa.bin)
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000bafa.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBAFA | 74220 bytes |
SHA-256: b34b495dc977fee53e92192d7e2210870220aec3524150ac59de2537efe91732 |
|||
font_01_sfnt_off00010e99.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10E99 | 69300 bytes |
SHA-256: e72b86db131146b838fc1acf558682e0aefb8a21312c19dfc0418fd80b4fb049 |
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