Malicious PDF — malware analysis report

Static analysis result for SHA-256 25d63fcd7ddd9420…

MALICIOUS

PDF

45.1 KB Created: 2020-10-06 19:19:48 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-17
MD5: 80f6cbc311bf4378a1491d73b4ba3fae SHA-1: 2e55b79ac94919fa83ece4bb6f7fe9be6d66b22e SHA-256: 25d63fcd7ddd9420b68676b99fdece92734453f285fd0aa07fa7952b9e30847a
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://ggtraff.ru/strik?keyword=service+blueprint+examples In PDF document text
    • http://vujupido.laptoppartstore.com/uploads/1/3/1/3/131379373/popepajomav-sebofutexiref.pdfIn PDF document text
    • http://files.minymabooth.com/uploads/1/3/1/4/131453005/761471.pdfIn PDF document text
    • http://files.ghecca.com/uploads/1/3/1/8/131857419/6554755.pdfIn PDF document text
    • https://site-1036828.mozfiles.com/files/1036828/70347071194.pdfIn PDF document text
    • https://site-1039931.mozfiles.com/files/1039931/sozizi.pdfIn PDF document text
    • https://site-1039257.mozfiles.com/files/1039257/71722053226.pdfIn PDF document text
    • https://site-1036661.mozfiles.com/files/1036661/12150623461.pdfIn PDF document text
    • https://site-1043239.mozfiles.com/files/1043239/majekexi.pdfIn PDF document text
    • https://site-1036939.mozfiles.com/files/1036939/kiwojitisebulidadedare.pdfIn PDF document text
    • https://site-1043933.mozfiles.com/files/1043933/kamupanapupilimagunebir.pdfIn 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/1/0432/3924/3943/files/bloons_tower_defense_5_strategy_hard.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/6594/5493/files/letorudipavep.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0465/5120/3990/files/monte_blanc_card_holder.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/0238/2504/files/corner_wine_rack_furniture.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/5324/3816/files/sentiment_analysis_in_r_datacamp.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_off0000742c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x742C 5452 bytes
SHA-256: e46ea5d933e28dbff9912062cd6d90f503080c8da06fafb89234b800068d72e8
font_01_sfnt_off0000869e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x869E 9780 bytes
SHA-256: ebfbba676733a00bb23f4440b7c5b559eef94aa805886ff593b66f3cb8239782