Malicious PDF — malware analysis report

Static analysis result for SHA-256 5f3a0bef7fdd79e9…

MALICIOUS

PDF

49.1 KB Created: 2020-10-08 21:07:20 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-03
MD5: f2f0b7d118565a43defb1cae8e477fbe SHA-1: 8795e8b67cb6f66a3c9ddeed04549e212d1185db SHA-256: 5f3a0bef7fdd79e93be384ca7029fa2109818a26de8e7511e28cefc98e29d770
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://cctraff.ru/strik?keyword=bad+moon+rising+ukulele In PDF document text
    • https://site-1038384.mozfiles.com/files/1038384/29020598010.pdfIn PDF document text
    • https://site-1036742.mozfiles.com/files/1036742/bonefodogikewijerelafe.pdfIn PDF document text
    • https://site-1036679.mozfiles.com/files/1036679/badiwiwafisox.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off0000566f.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off0000566f.bin)
    • http://www.daltonmaag.com/In extracted file (font_03_sfnt_off0000a8ba.bin)
    • https://cdn.shopify.com/s/files/1/0432/6057/5899/files/linear_approximation_calculator.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/9866/7163/files/seco_de_pollo_receta.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/8014/7359/files/korinuzer.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6b6e5b1f-ebcc-4ecf-87cf-273653a90226/sasesoj.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/72caf1a9-336d-4762-9425-0b5403b2df75/5812135213.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/77f9dbf0-a257-4ecd-b418-743b74049f69/59238325485.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/51dda523-3fd6-4e4e-b4ad-62d7ca0b3111/xutevulebaxebesivezisox.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cffb1b24-e4ad-4a3e-b1db-cc1ab7f1b673/16897396848.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/8326/2869/files/zabonajemugonikaro.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/6292/6229/files/restaurants_near_andrew_jackson_hotel_new_orleans.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/5484/5082/files/north_park_ice_rink_buffalo_ny.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0477/1489/3980/files/84829525730.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/4965/0838/files/ill_see_you_in_the_rapture_jerry_goff.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 extracted file (font_00_sfnt_off0000566f.bin)
    • http://dejavu.sourceforge.netIn extracted file (font_02_sfnt_off000093eb.bin)
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn extracted file (font_02_sfnt_off000093eb.bin)

Extracted artifacts 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000566f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x566F 5060 bytes
SHA-256: 75261ae800ff38aa695f02d23ade26e3fe541f76922a9df01eb2caccf22c955d
font_01_sfnt_off0000677c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x677C 14080 bytes
SHA-256: 138c3cd08f6d44cb70e7bc359a67421ece1d37efb3a56c2cd0cbef0826e70dd0
font_02_sfnt_off000093eb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x93EB 16108 bytes
SHA-256: 40b4972c50c88d393489be5bde3d81a1619b37e5b87fab5a2fbd656868057354
font_03_sfnt_off0000a8ba.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA8BA 4324 bytes
SHA-256: a542ec26cea93e049a2e27cd59b1347dd9bbdea13775fd7b822b3c2b3136116f