Malicious PDF — malware analysis report

Static analysis result for SHA-256 996bcb065865995d…

MALICIOUS

PDF

39.7 KB Created: 2020-08-22 17:15:07 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 829fd6e3e6b573ae969888b5d28b003c SHA-1: 5eea43737488e15b2cab14dc554015d731271d03 SHA-256: 996bcb065865995daccc1b04b15410814e8d498ba79210ca33fd635c5deae48a
120 Risk Score

Malware Insights

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

The PDF document contains a deceptive title related to a Google voice assistant, but its primary function is to redirect users to a malicious link farm. The heuristic PDF_MALICIOUS_REDIRECTOR_LINK indicates that the embedded URL https://ttraff.cc/pify?keyword=asistente+de+voz+de+google+android is part of known malicious infrastructure. Additionally, the PDF_SEO_LINK_FARM heuristic reveals a large number of external links, suggesting a tactic to distribute malicious content or engage in SEO manipulation. No scripts were extracted from this sample.

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.cc/pify?keyword=asistente+de+voz+de+google+android
    • http://files.huntersvillelawyer.com/uploads/1/3/1/4/131454523/5274edf52dac71.pdf
    • http://files.mytechiebuddy.com/uploads/1/3/1/3/131379343/5568355.pdf
    • http://gikixum.deepgrassgraziers.com/uploads/1/3/1/4/131483083/gabuxeki_giborav.pdf
    • https://cdn.shopify.com/s/files/1/0433/7362/5500/files/piledriver_sex_position.pdf
    • https://cdn.shopify.com/s/files/1/0437/4380/5591/files/31366219292.pdf
    • https://cdn.shopify.com/s/files/1/0429/2290/1663/files/44835818496.pdf
    • https://cdn.shopify.com/s/files/1/0439/9074/5246/files/jevowilif.pdf
    • https://cdn.shopify.com/s/files/1/0432/7096/3350/files/zesud.pdf
    • https://cdn.shopify.com/s/files/1/0431/7957/3414/files/applications_of_mathematics_in_economics.pdf
    • https://cdn.shopify.com/s/files/1/0433/3695/8104/files/26500731274.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_off00005a2e.bin
dc232fef07d721f8eeb731a125c164f2a3556084c0d4205a3ff67d842e15df0a		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5A2E 5092 bytes
font_01_sfnt_off00006b98.bin
3d3bdaf5ea87886ed95dd2a2404576501c40fe0fb4c2884714162f036c7c3b1f		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6B98 11388 bytes

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