Malicious PDF — malware analysis report

Static analysis result for SHA-256 2a90a0bb5b5754e9…

MALICIOUS

PDF

35.9 KB Created: 2020-08-31 13:53:39 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: d246e2c21dcc9d40107cc0e9ef60c5c3 SHA-1: f5c85e5957c44bc6676a64e8d49d05de5518f02f SHA-256: 2a90a0bb5b5754e9c145f8bd578d7a49c04aba3eec19172ef825f93618ea2e7b
152 Risk Score

Malware Insights

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

The PDF contains embedded links that point to a known malicious redirector, ttraff.cc, which is likely used to deliver a secondary payload. The document body, though partially corrupted, suggests a lure related to a 'balance sheet translation'. The presence of numerous other PDF links, many hosted on Shopify, indicates a link farm strategy to obscure the primary malicious destination. The ML classifier strongly supports the malicious nature of this PDF.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

Heuristics 4

  • 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.
  • 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 https://ttraff.cc/wix?keyword=balance+sheet+traducere
    • https://cdn.shopify.com/s/files/1/0436/8757/5705/files/35542262171.pdf
    • https://cdn.shopify.com/s/files/1/0431/6381/2004/files/penotufoxikovanirilip.pdf
    • https://cdn.shopify.com/s/files/1/0438/2438/2114/files/bupugubobonunurunejolas.pdf
    • https://static.usrfiles.com/ugd/822ecd_1f281138b38948fab1f514c2a5f2ffcd.pdf
    • https://cdn.shopify.com/s/files/1/0429/2568/6951/files/75009366920.pdf
    • https://cdn.shopify.com/s/files/1/0463/3542/6721/files/samba_mobile_hack.pdf
    • https://cdn.shopify.com/s/files/1/0428/8957/6601/files/63200646261.pdf
    • https://cdn.shopify.com/s/files/1/0429/3502/5831/files/rajisoperugafipuxafudo.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 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000504b.bin
fb34778a450a3e6bb061b90acbe8dfb7a14b6a8c09600aabc1e65607ce382741		 pdf-font-stream PDF embedded font (sfnt) at offset 0x504B 5076 bytes
font_01_sfnt_off0000617f.bin
97fac98df39e2376d5f431e9d4fe26ce4ed325bff86699b3a22ccebd5772bbce		 pdf-font-stream PDF embedded font (sfnt) at offset 0x617F 10088 bytes

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