CLEAN
12
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0002
Heuristics 3
-
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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External URI info PDF_URIPDF contains an external URL action
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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 https://github.com/andre-fuchs/kerning-pairs/blob/master/LICENSE.md In PDF document text
- https://eftpays.github.io/remit/notification.htmlPDF link annotation
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/pdfx/1.3/In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- https://docs.microsoft.com/typography/abouthttp://lucasfonts.comMicrosoftIn PDF document text
- http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text
- https://docs.microsoft.com/typography/aboutWeightWidthOpticalIn PDF document text
Extracted artifacts 5
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_003_off00005c86.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x5C86 | 333496 bytes |
SHA-256: 6253db0d9d004ac45746abc1ef94ecb0309e42cb0df56ead0d4e557111507a5c |
|||
font_00_sfnt_off000014bc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x14BC | 58900 bytes |
SHA-256: 6f46c216fa701359fb063c05194ac01fb92d7f012709ccf85fbd27ba2b014c6e |
|||
font_02_sfnt_off0001ec9a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1EC9A | 19840 bytes |
SHA-256: 89cb78b72afd79e8f860ff65c02ae7c7636a57ca8ac472a8f1d90be82d6b968a |
|||
font_03_sfnt_off00020897.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x20897 | 288684 bytes |
SHA-256: c3fd548f17e073b570a003974c90f44c567157497b056d9dcbbc2509aa6ba44b |
|||
font_04_sfnt_off00033578.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x33578 | 20092 bytes |
SHA-256: 02e78377e4ca2b30ab546944f70d2c2f0e1ae463920c250e42e979fbc8575ac2 |
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