Malicious PDF — malware analysis report

Static analysis result for SHA-256 dc452ae96fc787d0…

MALICIOUS

PDF

41.6 KB Created: 2020-09-04 00:46:55 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-09
MD5: f0289c4a362da560e50ec2c7eef47900 SHA-1: da0743f65c5ab5d371f8a717e2f2b3e533ab9bc1 SHA-256: dc452ae96fc787d0e44b6981a2162416668bb76e8bfea8d0a122d29aaffb6a9f
162 Risk Score

Malware Insights

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

The PDF contains a link to a known malicious redirector, ttraff.me, which is likely intended to lead the user to a malicious site. The document body and embedded URLs suggest a lure related to software downloads, specifically 'vshare pc windows 8'. The presence of numerous links to PDF files hosted on Shopify, while many are benign, indicates a link farm strategy to potentially improve SEO for malicious content or to obscure the final destination. The ML classifier also strongly indicated maliciousness.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • SEO-redirector lure link (multi-word utm_term) low PDF_SEO_UTM_REDIRECTOR_LINK
    PDF contains a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the search-keyword gateway used by the 'free document download' phishing family. Surfaced as an IOC; on its own this is a low-confidence signal.
  • 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.me/wix?keyword=vshare++pc+windows+8 In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/4550/2626/files/ponubobemodudapetivukopo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/3903/8359/files/ifpi_digital_music_report_2008.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0452/0129/3461/files/a_k_jain_physiology_free_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/7751/6955/files/memutudolaxos.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/1010/4228/files/zawadiwiruxumel.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/8d0191_0c8f3a8d6a4f408c9cfd23609586e656.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/6f7357_9e06c450e1da4d98872e3e507c960f4f.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/f55bec_64fe3c0584fb40838bc6f53a680e3e85.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/2545/7575/files/3530222335.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/6866/0643/files/wubofejomalokemorojo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/7827/1651/files/lebilafoj.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/2d1648_f0a6f2ee4a0a4938a44a9a325d78fc41.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b5472a_cffecdf226584e4f99837c2c403a7479.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/ffe0d3_42248e6db8394dcca9a5bcfe3a6aa60e.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/7598fa_af96ae65aa364680b825bdd592db42f6.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/a382ee_872624294fa54458950d1a4ea18fe2f7.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000064ce.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x64CE 5380 bytes
SHA-256: 31b9c99d44c42e43d965b61e7e5bb10f6d21be8d5a636157c819246e12ff89fe
font_01_sfnt_off00007727.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7727 10120 bytes
SHA-256: 77494d8b4306e5d35fcd2cebda93f6ca6db28ddc204406de251fdbbe240686e6

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