Malicious PDF — malware analysis report

Static analysis result for SHA-256 0c21aef41d154915…

MALICIOUS

PDF

30.6 KB Created: 2020-05-18 14:08:44 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 430cf0d690883391f7bee08010aa2716 SHA-1: fcc5d620d6c1a6418b4dc98191c723f51432df2e SHA-256: 0c21aef41d154915996b909579e2fea8c5f760c680ac55e5063992c73c39b82d
136 Risk Score

Malware Insights

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

The PDF document was flagged by a machine learning classifier as malicious and contains a large number of external links, indicative of a link farm or phishing attempt. The presence of multiple algorithmically generated URLs suggests an automated method for distributing malicious content. The document body contains garbled text and embedded URLs, further supporting the malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9959

Heuristics 5

  • 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.
  • PDF link to algorithmically-generated URL high PDF_RANDOM_URL_LINK
    PDF contains a clickable HTTP(S) link whose host looks algorithmically generated (pronounceable-random labels) and whose path/query carries a long high-entropy token. This is the randomized-redirector pattern of malspam phishing lures — the visible document is only a prompt — not a PDF parser vulnerability.
  • 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://yourbankproduct.com/uploads/1/3/0/6/130639400/130639400.html#xenoverse+2+local+multiplayer
    • http://limos-san-diego.com/uploads/1/3/1/3/131380493/bitejuwas_kuredetegoliwig.pdf
    • http://ultimatestudentathleterecruiting.com/uploads/1/3/0/5/130538981/b1d2e9db7ed18c3.pdf
    • http://newleafereit.com/uploads/1/3/0/6/130620290/tapazogun.pdf
    • http://movingsupplies.shop/uploads/1/3/0/4/130476203/c42a1.pdf
    • http://auxlegacy.com/uploads/1/3/0/2/130291646/730f833f79c.pdf
    • http://onespeedchopshop.com/uploads/1/3/0/5/130551659/01aa5f773aa522.pdf
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • 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/
    • http://scripts.sil.org/OFL

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00004c66.bin
bf604947a5d8a32562b99d97133f2b73c9e00f3702db94c36503e05acac623db		 pdf-font-stream PDF embedded font (sfnt) at offset 0x4C66 11180 bytes

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