Malicious PDF — malware analysis report

Static analysis result for SHA-256 df59af3c6edeb8a5…

MALICIOUS

PDF

73.9 KB Created: 2021-04-07 05:10:28 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 41b6f81d28fb4c983e8bca11e9aa2e69 SHA-1: 6b1861b287ebcc1e4193df5bb6f398b8111f9bd1 SHA-256: df59af3c6edeb8a53b0f77704ca6dfd0b12cedc08ffae7a7c550a996fefe696e
64 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1203 Exploitation for Client Execution

The PDF file contains numerous embedded URLs, many of which point to disposable domains and are structured as link farms. The document body, though heavily obfuscated, suggests a lure related to 'machine learning pdf for beginners'. The ML classifier strongly indicates maliciousness, and the link farm behavior is a common tactic for distributing malware or phishing content.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9730

Heuristics 3

  • Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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 https://www.dgs-interparts.be/sites/default/files/57515461030.pdf
    • https://ambrose.edu/sites/default/files/webform/82598578892.pdf
    • https://www.newburghgroup.com/sites/default/files/webform/resumes/falaburisidibiwad.pdf
    • http://cicatsalud.com/html/sites/default/files/webform/24974410021.pdf
    • https://www.ofalloncasting.com/sites/default/files/webform/tirudekamevajoluzagobumi.pdf
    • http://oaklandchildcare.org/sites/default/files/webform/bidepe.pdf
    • https://europa-ts.ru/sites/default/files/webform/6529842099.pdf
    • https://ambrose.edu/sites/default/files/webform/26147793628.pdf
    • http://www.friendlycc.com/sites/default/files/webform/98819861428.pdf
    • http://oaklandchildcare.org/sites/default/files/webform/71502920023.pdf
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • http://feedproxy.google.com/~r/Uplcv/~3/FevRqgeaUVY/uplcv?utm_term=machine+learning+pdf+for+beginners
    • https://ec.europa.eu/eip/agriculture/sites/default/files/webform/5272012193.pdf
    • https://www.healthdata.org/sites/default/files/resumes/nufimogunuzin.pdf
    • https://drones.princeton.edu/system/files/webform/zifogisabivaloxigisosobu.pdf
    • https://minorsoncampus.princeton.edu/system/files/webform/wetesagepe.pdf
    • http://scripts.sil.org/OFL

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00010605.bin
06a5233429583a143ecc6352a27c24e88719f65fbd06228dca19033ad160fc5b		 pdf-font-stream PDF embedded font (sfnt) at offset 0x10605 5560 bytes

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