Malicious PDF — malware analysis report

Static analysis result for SHA-256 de645dfa9f14ffdd…

MALICIOUS

PDF

36.5 KB Created: 2020-08-17 01:44:34 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 45d54a070b2f3ad42f2cf2727f3b8a04 SHA-1: 71478e708318a16e7d4a2bb49ba848566feb3700 SHA-256: de645dfa9f14ffdd75332b0ecc05343f41bc8398bcacc6f2a25a418aeed1cf8f
120 Risk Score

Malware Insights

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

The PDF contains a heuristic firing for a malicious redirector link, pointing to 'ttraff.ru'. The document body, though heavily obfuscated, contains this URL and numerous other links hosted on Shopify, likely part of a link farm to improve SEO for malicious content. The primary malicious URL is designed to redirect the user to further malicious infrastructure.

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=romeo+and+juliet+act+2+review+worksheet
    • http://kizas.vcphotographs.com/uploads/1/3/0/9/130969723/af179fa692.pdf
    • https://cdn.shopify.com/s/files/1/0431/0417/4233/files/chuyn_sang_file_nh_online.pdf
    • https://cdn.shopify.com/s/files/1/0429/0763/1779/files/niriku.pdf
    • https://cdn.shopify.com/s/files/1/0430/4705/9607/files/arduino_mega_2560_pin.pdf
    • https://cdn.shopify.com/s/files/1/0436/0300/1502/files/36878233499.pdf
    • https://cdn.shopify.com/s/files/1/0428/4160/4263/files/95255855643.pdf
    • https://cdn.shopify.com/s/files/1/0438/4777/8469/files/10133018098.pdf
    • https://cdn.shopify.com/s/files/1/0432/2256/5032/files/beekeeping_basics.pdf
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/zijuk.pdf
    • https://cdn.shopify.com/s/files/1/0430/6488/5402/files/magicseaweed_newquay_fistral_north_surf_report.pdf
    • https://cdn.shopify.com/s/files/1/0429/5042/6787/files/23795101386.pdf
    • https://cdn.shopify.com/s/files/1/0433/7968/7574/files/xivurefebepemidijipametas.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_off00005041.bin
8d05a774412e4303c1807bdf388f82da0c180fcfd4c671144399a36193fc0022		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5041 5608 bytes
font_01_sfnt_off0000633e.bin
1f23ff166cf280a59e698fbc489090e141e2889353cc0683ebb42d2f02d8e400		 pdf-font-stream PDF embedded font (sfnt) at offset 0x633E 10016 bytes

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