Malicious PDF — malware analysis report

Static analysis result for SHA-256 63de1f7bb63e8b14…

MALICIOUS

PDF

27.8 KB Created: 2020-04-09 13:56:30 +03:00 Authoring application: wkhtmltopdf 0.12.1.4 (via Qt 4.8.6)
MD5: 7a630602a1b54bf2c3049719958767cb SHA-1: 97d6897584efafe320f6f869a792d685a7e6f928 SHA-256: 63de1f7bb63e8b14d6ca31df0a60b9751fe28f49576800ee08fe84677012e094
96 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a large number of external links, many of which are numerically or generically named, suggesting a link farm or SEO abuse tactic. The document body, though heavily obfuscated, contains URLs that appear to be lures for users to click on, potentially leading to malicious content or further downloads. The ML classifier strongly indicated maliciousness, supporting the interpretation of these links as part of a malicious campaign.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

Heuristics 4

  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • 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://wellskin.org/uploads/1/3/1/4/131454012/131454012.html#convert+text+file+to+excel+using+python
    • http://financialskyline.com/uploads/1/3/0/6/130603809/88303cab.pdf
    • http://administrator.limassolchurchofchrist.org/uploads/1/3/0/4/130483337/2651880.pdf
    • http://cca-sales.com/uploads/1/3/1/4/131406063/wilogotarep_wabojasebusule_piwafigafezubev.pdf
    • http://saeed1almarri.com/uploads/1/3/1/1/131163643/b7211508.pdf
    • http://h2hbusinesssupportservices.com/uploads/1/3/0/5/130589124/didubod.pdf
    • http://sarahplansmagic.com/uploads/1/3/0/5/130550700/7714656.pdf
    • http://narasimha.co/uploads/1/3/0/4/130435601/danedenameseje.pdf
    • http://bucknerdeeterscoutonlandscape.com/uploads/1/3/0/3/130313108/671cf5c748061.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00004997.bin
ad9e857d333e81c65d216c6a074fc060a5e5260951d16384c1234b87dce91bbd		 pdf-font-stream PDF embedded font (sfnt) at offset 0x4997 6160 bytes

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