Malicious PDF — malware analysis report

Static analysis result for SHA-256 aa3f1402efed116f…

MALICIOUS

PDF

38.1 KB Created: 2020-08-24 11:15:04 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: aaccb2e7f669700d05fc007d0588987e SHA-1: f39ce4bdeabc22b404a54575be57ebe40d027f1d SHA-256: aa3f1402efed116f9ced1d7e97d14eaa17daa6e39ac7a7e06f34c76d2c097909
150 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell T1204.002 Malicious Link

The PDF contains a heuristic firing for a malicious redirector link pointing to 'ttraff.ru', which is also present in the document body. This suggests the document is designed to trick users into visiting a malicious site. The PDF also contains a large number of embedded links, many pointing to Shopify domains, which is indicative of a link farm or SEO poisoning technique. The ML classifier also flagged this PDF with high confidence.

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.ru/pify?keyword=california+allowances+worksheet+b
    • http://files.saintjosephparish.org/uploads/1/3/0/9/130969954/davetomakiw_velexajase_vapedejotuj.pdf
    • https://cdn.shopify.com/s/files/1/0430/3316/5986/files/regovezole.pdf
    • https://cdn.shopify.com/s/files/1/0432/5235/1144/files/61705481290.pdf
    • https://cdn.shopify.com/s/files/1/0430/5495/6695/files/dajavujadenuluxavid.pdf
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/29318048561.pdf
    • https://cdn.shopify.com/s/files/1/0438/2785/5517/files/nfl_week_12_score_predictions_bleacher_report.pdf
    • https://cdn.shopify.com/s/files/1/0441/0517/1096/files/rilukek.pdf
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/41448402009.pdf
    • https://cdn.shopify.com/s/files/1/0434/6521/2066/files/bram_stoker_dracula_s_guest.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_off000057b4.bin
04aadc77d7229ffa671fb4267710f9f36c4149c4eeabcda6c06c2bce9ae5b22f		 pdf-font-stream PDF embedded font (sfnt) at offset 0x57B4 5168 bytes
font_01_sfnt_off00006959.bin
3e662b991379682326dd3ce798308e669e9dceaa7c830ab753f8e7900cff5e2d		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6959 10136 bytes

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