Malicious PDF — malware analysis report

Static analysis result for SHA-256 82ed414782744961…

MALICIOUS

PDF

42.1 KB Created: 2020-10-18 03:24:19 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-17
MD5: 07f6777dc48e2a17a0248f0dab00fd8f SHA-1: 62e415600b99302d8ecdb1bac8c21746a29d62a3 SHA-256: 82ed414782744961449da31f6225c4afdb3baf55a8ba3a0d1fbb7a78950b4d9b
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=chittagong+all+college+list+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4379029/normal_5f8b738331526.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374710/normal_5f89102add790.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368745/normal_5f8b68de3c8e6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365586/normal_5f87272ee1cea.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368237/normal_5f8b605ea3d81.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375351/normal_5f896f5f2e5aa.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374978/normal_5f8b766fc32e8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366625/normal_5f87764a49300.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365555/normal_5f87d7a1e1d55.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4376369/normal_5f8acbc010e53.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://cdn.shopify.com/s/files/1/0481/7898/7165/files/research_methods_book_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/5008/1690/files/login_with_facebook_in_android_studio_github.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/9300/9604/files/dafusowuraxalulolafe.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/9327/1745/files/22354586559.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/6826/3062/files/mejosupeboneredesubanavax.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/9331/0631/files/98322281891.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0493/1734/7487/files/acgih_tlv_book.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/8152/2599/files/language_in_singapore_percentage.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0488/0623/2229/files/82808397302.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f9912739-2084-4236-b2ad-4cda4fb15811/4845381496.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6d71d96d-892b-4127-a65d-1fb35210c180/vokibinaxekijaja.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3c5537e9-0b7b-4514-a91e-6b9ceebf9569/wetuxematipi.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_off000059e0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x59E0 5132 bytes
SHA-256: 533264af1abe48e2ba2c1c02a7e7f6c7b4d443ea654bd2f240e23966ba94af78
font_01_sfnt_off00006b4f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B4F 9900 bytes
SHA-256: e786b3639a7cbc0422cc39ad999996b653255477687b85640592211fe7ab0357
font_02_sfnt_off00008cdd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8CDD 4324 bytes
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378