PDF static analysis report

Static analysis result for SHA-256 31e2f35e1bd20ef9…

CLEAN

PDF

157.6 KB Created: 2026-05-29 08:23:54 UTC Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2026-05-29
MD5: e88b3fe3841a9ab928734a041c99b37f SHA-1: e4c4fe41cb2d33fef0721a8f1c6f00d7e9f6f760 SHA-256: 31e2f35e1bd20ef96927c8b5d49c3c613f18d5933c20dcce7c13ad09eab13683
10 Risk Score

Machine Learning

  • Nyx PDF Classifier clean score 0.0002

Heuristics 2

  • Fake invoice / payment lure low SE_INVOICE_LURE
    Document contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
  • Embedded URL info EMBEDDED_URL
    One 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

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0002329c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x2329C 15636 bytes
SHA-256: 4d7e419859b0fee9945df7f849aa7ee20846d88d53a2f471569235df4c355d80
font_01_sfnt_off00024ef4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x24EF4 17680 bytes
SHA-256: f102faa63c82ceec4b484189d6bc9df8a4e08eef1859042603bc92df9541e2f4

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