Malicious PDF — malware analysis report

Static analysis result for SHA-256 f8742b18f7433a32…

MALICIOUS

PDF

48.5 KB Created: 2020-10-28 11:06:22 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-17
MD5: 01fe282101762e9dd4f36cad7d58f141 SHA-1: 548c1b45e61ff46ff1c3bfd2e99cf6acef2af03c SHA-256: f8742b18f7433a32622065b2b2e37f04663a9d3a5dd39bbae8fd81d4c7bbc31c
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/wb?keyword=welding%20merit%20badge%20worksheet%20answers In PDF document text
    • https://cdn-cms.f-static.net/uploads/4393029/normal_5f92314c671c3.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365575/normal_5f87e7801932c.pdfIn PDF document text
    • https://kidunaxu.weebly.com/uploads/1/3/1/4/131437100/xozozux.pdfIn PDF document text
    • https://kusanogiwaxug.weebly.com/uploads/1/3/0/8/130873987/bakigomegomir-nasimagelam-biwulebubikid-povisavage.pdfIn 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://s3.amazonaws.com/zonivezada/vofokerowofunozev.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/fonujirajid.pdfIn PDF document text
    • https://s3.amazonaws.com/domegagowevag/52521199653.pdfIn PDF document text
    • https://s3.amazonaws.com/zirojopemup/ramolaxewesojivusajakuk.pdfIn PDF document text
    • https://s3.amazonaws.com/sugowubuf/indian_air_force_group_y_previous_papers.pdfIn PDF document text
    • https://s3.amazonaws.com/kibavutibeved/teranilojavedaxawifotimu.pdfIn PDF document text
    • https://s3.amazonaws.com/jamokaroxoj/45567220256.pdfIn PDF document text
    • https://s3.amazonaws.com/zuxadol/31627412123.pdfIn PDF document text
    • https://s3.amazonaws.com/zerejibixupav/bomovawigotibaji.pdfIn PDF document text
    • https://s3.amazonaws.com/tadovu/80497486275.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/0285/6100/files/magnetism_and_matter_formulas.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0488/1547/2805/files/tizaf.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/6766/2748/files/medical_dictionary_free_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/2707/0104/files/android_sdk_api_levels.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_off000070bb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x70BB 5336 bytes
SHA-256: e73d218a10b1f352e606255c0b2b10b6d1969b9e8fb956905c6873f1dd35cb4c
font_01_sfnt_off000082bc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x82BC 10460 bytes
SHA-256: b4d7e399c27ca0caee8e2f36c373d7877c055a4cc99962487426a3814b06ad9e
font_02_sfnt_off0000a6a1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA6A1 4324 bytes
SHA-256: 8405bb6ca9a6fb718a2e910e1cdde4d74ac2122cab0061dc5f772322db9c7ccd

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