Malicious PDF — malware analysis report

Static analysis result for SHA-256 af2f0ff294f51ca8…

MALICIOUS

PDF

69.6 KB Created: 2020-10-25 10:17:59 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-21
MD5: 7dc6edaf660122a856fc8e5d142508ac SHA-1: af902029a8c0666d89ebddd9f7b61799168c499a SHA-256: af2f0ff294f51ca85cc00310c0f133f07acdbd0c3ca0f3f5b10c0ee83ff5eb15
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=satyanarayana%20swamy%20vratham%20in%20telugu%20pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4370987/normal_5f8a596c71cb0.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4402951/normal_5f9239c988bc6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4391898/normal_5f8f1dd05a137.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367645/normal_5f8961fcd7e7c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4391037/normal_5f9283984e6d7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370987/normal_5f8a54e29b1d5.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/rujabepifar/maths_project_work_for_class_10.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/76629866300.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/aerodynamic_aviation.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/39991109897.pdfIn PDF document text
    • https://s3.amazonaws.com/pazifetanegapu/jivorapawazebogumaxofit.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/seismic_tomography.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/geometric_sequence_examples_with_solutions.pdfIn PDF document text
    • https://s3.amazonaws.com/jewizopukuni/dozuvudadatejibakoleku.pdfIn PDF document text
    • https://s3.amazonaws.com/megulu/sifazusowegeguzobopewaxir.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/0622/1214/files/yle_test_flyers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/4157/8399/files/komawafowumu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/6445/8908/files/muvurubesini.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8924/1258/files/moss_middle_school.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0493/2750/5567/files/afmc_bd_question_paper_2020.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/69f2aaf2-34d1-47f5-849b-29f01867f178/sikorarugibosun.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d9341296-da17-47ec-8977-116cd280d0a5/46990096381.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_off0000cbc2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xCBC2 5812 bytes
SHA-256: cd6d73229b1aa595179e89e6c35794a2ff74bf1b3a95b51955c3f3f0a1ed2607
font_01_sfnt_off0000df89.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDF89 11960 bytes
SHA-256: 9424fcd7e6dddefd50badddb9cb14a723371d9f024c9299f78d8a68eeb923311