Malicious PDF — malware analysis report

Static analysis result for SHA-256 daf91b488b5e803f…

MALICIOUS

PDF

40.8 KB Created: 2020-08-29 15:54:40 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 04a156730a325b3099196849b06dafdb SHA-1: 9ba3cbd103190b44771aa49681a4612a6a716dab SHA-256: daf91b488b5e803f03152e886382031bc63c3d39b80feec1fb55c1e30ec763e7
150 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a critical heuristic firing for a malicious redirector link pointing to 'ttraff.com'. This URL is presented in the document body, suggesting a social engineering lure to trick the user into downloading a malicious file. The PDF also exhibits characteristics of a link farm, with numerous embedded URLs, many of which point to Shopify, likely for SEO manipulation. The ML classifier strongly indicates maliciousness.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • 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.
  • 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://ttraff.com/wix?keyword=descargar+las+emociones+de+nacho+pdf
    • https://cdn.shopify.com/s/files/1/0433/4118/5189/files/32158996385.pdf
    • https://cdn.shopify.com/s/files/1/0438/6557/1493/files/kopobegideve.pdf
    • https://cdn.shopify.com/s/files/1/0436/7260/0726/files/553_bus_schedule_nj_transit.pdf
    • https://cdn.shopify.com/s/files/1/0440/1335/5166/files/kitanezugevelesapokud.pdf
    • https://cdn.shopify.com/s/files/1/0427/8861/8396/files/zizezoj.pdf
    • https://cdn.shopify.com/s/files/1/0439/2439/0056/files/voxalebokokadonagixe.pdf
    • https://cdn.shopify.com/s/files/1/0432/5870/8136/files/depivegugufuxiv.pdf
    • https://cdn.shopify.com/s/files/1/0439/2009/7448/files/95435969034.pdf
    • https://static.usrfiles.com/ugd/b8c837_d08d008db0e74e789731485e54fd4dda.pdf
    • https://static.usrfiles.com/ugd/b8c837_87641118b5ca4eacba23843922907718.pdf
    • https://static.usrfiles.com/ugd/b8c837_15f326ea0ada4b75873805b2b7f733ef.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000520e.bin
d18f4f5dae25d5a5de02bb22c618aaa7207396b78a371b94bfe4d36b2da12db1		 pdf-font-stream PDF embedded font (sfnt) at offset 0x520E 5276 bytes
font_01_sfnt_off000063bc.bin
702c35585cf0e73e51cc7571dc20ce8ea043a5232cff67718009d693ed145548		 pdf-font-stream PDF embedded font (sfnt) at offset 0x63BC 10676 bytes
font_02_sfnt_off000086b1.bin
d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378		 pdf-font-stream PDF embedded font (sfnt) at offset 0x86B1 4324 bytes

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