Malicious PDF — malware analysis report

Static analysis result for SHA-256 013cebcd0793d5ae…

MALICIOUS

PDF

45.4 KB Created: 2020-08-02 21:25:27 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-09
MD5: ab930514446f28b9fbdb7da554a6de3d SHA-1: 82d020345898299702abbc0819cc817280a67785 SHA-256: 013cebcd0793d5aeb8ab4d1efb6fe4722eb90ad07561aee6d6c91f32e472c62f
194 Risk Score

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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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/pify?keyword=%25D1%2580%25D0%25B0%25D1%2581%25D0%25BF%25D0%25B8%25D1%2581%25D0%25B0%25D0%25BD%25D0%25B8%25D0%25B5+%25D1%2587%25D0%25B5%25D0%25BC%25D0%25BF%25D0%25B8%25D0%25BE%25D0%25BD%25D0%25B0%25D1%2582%25D0%25B0+%25D0%25BC%25D0%25B8%25D1%2580%25D0%25B0+%25D0%25BF%25D0%25BE+%25D1%2584%25D1%2583%25D1%2582%25D0%25B1%25D0%25BE%25D0%25BB%25D1%2583+2018 In PDF document text
    • http://files.artypantsstudiott.com/uploads/1/3/0/7/130739970/17482cba57.pdfIn PDF document text
    • http://files.marikym.com/uploads/1/3/0/7/130740433/mufilajidunom_senukipiboxalan.pdfIn PDF document text
    • http://files.southeasternpaleoamerican.org/uploads/1/3/1/3/131380476/5704910.pdfIn PDF document text
    • http://files.andrekey.com/uploads/1/3/1/3/131379290/330c57542fb69d.pdfIn PDF document text
    • https://ttraff.cc/pify?keyword=%25D1%2580%25D0%25B0%25D1%2581%25D0%25BF%25D0%25B8%25D1%2581%25D0%25B0%25D0%25BD%25D0%25B8%25D0%25B5+%25D1%2587%25D0%25B5%25D0%25BC%25D0%25BF%25D0%25B8%25D0%25BE%25D0%25BD%25D0%25B0%25D1%2582%25D0%25B0+%25D0%25BC%25D0%25B8%25D1%2580%25D0%25B0+%25D0%25BF%25D0%25BE+%25D1In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://cdn.shopify.com/s/files/1/0429/0006/2371/files/dumav.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/wemulaw.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/2469/4942/files/45750130688.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/2173/7882/files/88967623758.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/7243/7910/files/jitufupemevaxekorufurom.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/1969/7308/files/discord_not_picking_up_mic.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/0118/3384/files/tamegidowanemubu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/3692/6374/files/puzugil.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/3298/4222/files/lotaj.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/3808/0166/files/48801084958.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/6379/5096/files/48069763700.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000057fd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x57FD 5676 bytes
SHA-256: 4def7f2232b7320a0df3e3c64fc2e50f9ac1c2e5127f44ed498714754bf7bb7d
font_01_sfnt_off00006b5d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B5D 14072 bytes
SHA-256: 8b43659fe0a77792bada8f99ee142a4c2dab28d5d4c9e98ea44d727b5fe515b6
font_02_sfnt_off0000974c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x974C 4324 bytes
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378