PDF static analysis report

Static analysis result for SHA-256 c7952bd31f5ba0bb…

CLEAN

PDF

163.7 KB Created: 2021-08-06 10:58:00 UTC Authoring application: Microsoft Office Word (via Aspose.Words for .NET 20.6) First seen: 2021-08-20
MD5: 898074c53ac9a461470ae1d55b59bd6a SHA-1: 53e9e0a95c5a79ab2584af244650feda18fe0ce0 SHA-256: c7952bd31f5ba0bb3b6682e70a5be5263dff09e82bc121b4bff61f81e899dd25
6 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The heuristic 'SE_ADVANCE_FEE_SCAM_LURE' strongly indicates the document's content is designed to deceive users into paying fees for a non-existent prize or inheritance. The presence of an external URI, though currently benign, is consistent with the initial stages of such scams where a landing page might be hosted. No scripts were extracted from this sample.

Machine Learning

  • Nyx PDF Classifier clean score 0.0037

Heuristics 3

  • External URI info PDF_URI
    PDF contains an external URL action
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • 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://onlae.terra.es/index.htm PDF link annotation
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text
🗂 Part of campaign: shared payload 15cddb8b79 3 samples

Related samples 2

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

Full JSON: related samples API

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0001570d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1570D 22400 bytes
SHA-256: 15cddb8b79e266889153921d1422276eaefc3dbf500a81faeab41542ee55a241
font_01_sfnt_off0001893f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1893F 44668 bytes
SHA-256: 8b8b3375e12152e3eb48128d3496e221cdc7c641243ca7924d01a45ac9402056
font_02_sfnt_off0001fbf4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1FBF4 49808 bytes
SHA-256: 741aff708ef44ebe5d0896f4716488fd9fe8283c67c5b5565bc9d8cee990b703

Open this report in the interactive analyzer, or submit your own file for analysis.