Malicious PDF — malware analysis report

Static analysis result for SHA-256 eb676963cabd00ce…

MALICIOUS

PDF

42.7 KB Created: 2020-10-16 05:21:10 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: bbace247042d220b127677decad81ce9 SHA-1: eca1a6e757b07ea7074fba5502dca80766444f7a SHA-256: eb676963cabd00ce68e84d46b3d6611a372dc7d3660e87acb8aec13356202a40
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/123?keyword=text+italic+bold+android In PDF document text
    • https://site-1042279.mozfiles.com/files/1042279/wawutamuxemam.pdfIn PDF document text
    • https://site-1043095.mozfiles.com/files/1043095/5852281415.pdfIn PDF document text
    • https://site-1044024.mozfiles.com/files/1044024/9338401137.pdfIn PDF document text
    • https://site-1036815.mozfiles.com/files/1036815/92220440676.pdfIn PDF document text
    • https://site-1040143.mozfiles.com/files/1040143/gofiterupaligobuzewo.pdfIn PDF document text
    • https://jakedekokobara.weebly.com/uploads/1/3/1/3/131381480/nipomomuka_gisotufeje.pdfIn PDF document text
    • https://wekubuzebebam.weebly.com/uploads/1/3/0/7/130739705/bukozogotimefurem.pdfIn PDF document text
    • https://site-1038974.mozfiles.com/files/1038974/98249280710.pdfIn PDF document text
    • https://site-1039380.mozfiles.com/files/1039380/98074851396.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/1/0432/5294/0968/files/verb_phrase_quiz.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0485/6777/9488/files/jilonudu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0439/3009/1688/files/knowledge_is_beautiful_download.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c63ba703-2361-44d2-befc-a6d014b41c15/ridegunuwa.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2fad9d18-7eb5-4502-952d-7f06d1eb8321/20485908809.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/9400/6177/files/23662214182.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/0929/2472/files/zenivav.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/3499/9446/files/10032509133.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/7094/6456/files/lokiviperopimoj.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/0120/0288/files/63049873436.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_off00005f7d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5F7D 4912 bytes
SHA-256: e7b00b6fbf7e3bb6ad5224296ea943789b672c628375dd81c904b90bac798035
font_01_sfnt_off0000702e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x702E 14592 bytes
SHA-256: e7a1e502e17a28ef5e488090322e4a9323dff446670d62928c4cf6819db0d7e1

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