CLEAN
10
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0044
Heuristics 2
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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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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 extracted file (font_00_sfnt_off00001fec.bin)
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00001fec.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1FEC | 18436 bytes |
SHA-256: 07f4d8a81a98165f0dbd10b4ea2386699ea026f4aee8987dcaf4849ed43f62e2 |
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font_01_sfnt_off000043ee.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x43EE | 19480 bytes |
SHA-256: d0bf8e06b41b22d601830822cdf9838261976539aafeca622292b900fd460e07 |
|||
font_02_sfnt_off00006d8e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6D8E | 14544 bytes |
SHA-256: ca88fcd9554fc2eac938bfc65ad5c3e8f61ec2f534cb60c81cb22ad6c804e66b |
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