Malicious PDF — malware analysis report

Static analysis result for SHA-256 42500c4f1ed0a3a8…

MALICIOUS

PDF

44.6 KB Created: 2020-10-18 20:54:02 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-15
MD5: ef8bdca13ecd608ae5d17c08de5ce240 SHA-1: 042f9a72457ff8b576b90404cf38b83bd66cc776 SHA-256: 42500c4f1ed0a3a879af002661556de0af86d836e6c258c303ffdb800c8f9d52
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/123?keyword=white+rodgers+thermostat+manual+1f79 In PDF document text
    • https://cdn-cms.f-static.net/uploads/4365576/normal_5f87217c9154b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365570/normal_5f8708d416b29.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4372723/normal_5f8ae75ddbaf4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369509/normal_5f8a76a6c624d.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/f203c5bd-1c9e-45b1-b2a6-e3adf2240013/57301727567.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7079e41f-5fdc-4cf0-ba9a-fd1106285153/tunevasitorak.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/46b290e2-b753-4a96-8667-10ace981035a/26359893718.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5687bb2f-95ce-4459-abbd-9a682da8346e/viva_video_pro_apk_revdl.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0de2f0cb-f07b-4e65-9612-b1ba4329d9f3/45863943174.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/3374/1480/files/46825507301.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0478/2581/3663/files/90571974259.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/9096/7714/files/welavazum.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f551b7f3-c4d0-4f22-a118-376544df5a64/lobosigizuw.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c3507060-8685-4088-a54a-8ee0fb0cdc4a/11309576779.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e7ed5b30-6e96-411e-8ae6-7960dbe7a5fc/wurakorepegepisavasu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fec3b8f0-aa62-4c23-80d9-bf0c87e0260d/66431801198.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3585a589-06f9-4cf7-886c-8ad12f266e21/58945635947.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/246b39a0-91ab-43e3-88e0-0d3e7cdf44c7/xuvetubogigoled.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9d4fe40a-875a-4291-9f3b-39e6c704ced5/nugetulobose.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_off00006c6d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6C6D 5624 bytes
SHA-256: 7f8755a090bf5d55c0b3f441f57d09b92b7987948b3a4f0234a97dc2f247d132
font_01_sfnt_off00007f82.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7F82 11620 bytes
SHA-256: 2e4ff117dbb6730d87827a772bcbf61e735781d65dbdf01ea1a80d056464dda4