Malicious PDF — malware analysis report

Static analysis result for SHA-256 85e87e82bf32eb64…

MALICIOUS

PDF

43.9 KB Created: 2020-10-17 09:23:41 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: bb731ca7c6c9a5ed82897b687ab124ab SHA-1: 1d68bb48499941354a066486d54995f73b99a6dd SHA-256: 85e87e82bf32eb64fa02baea01b9331660850dd6a6a201f154900b7260cd4995
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://gettraff.ru/123?keyword=forms+of+government+worksheet+answers In PDF document text
    • https://cdn-cms.f-static.net/uploads/4369926/normal_5f8a13dbed798.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365656/normal_5f87f18796c0b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370762/normal_5f8a27aa5eac2.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369783/normal_5f89ea95b0572.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4372985/normal_5f88b13bd69c4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374359/normal_5f8a26f3c7853.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369160/normal_5f8a26629a44f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365607/normal_5f870c082402c.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/1/0486/2404/2142/files/furefag.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/5779/3192/files/plus_global_audition_trainees.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/5840/5276/files/xakowusefo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/88b38f8d-65b9-4531-beeb-ae8fa7bbab58/29884161395.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/872ac8e1-f728-4ed1-898b-2f7269c41f42/81614520675.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/9389/4340/files/dalovuf.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/6120/5924/files/types_of_settlement_agreements.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a82ca2f2-0b31-4dc2-9a1b-ea5bb23fab80/13915677889.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/be932646-b952-470d-9f0b-a36fdd9bd10d/12006390993.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/32481a7e-561c-4ec7-b444-116e70dca229/fepewuxujusuni.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/347dfa96-9188-4f6a-ab4c-992de6fe8014/midemepejef.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ff45b608-1cc5-4271-a63b-efd7bb52e676/sudiroromumoxofuza.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_off00006d5c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6D5C 5320 bytes
SHA-256: ee5157d4b98d5fcdc0a73909d1e4fd73ca0acc101fd69ed70bf28d28afe1f989
font_01_sfnt_off00007f6a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7F6A 10016 bytes
SHA-256: 480a36c4b931dc07fa8d67e3b89d75dcb38d575e8e769f25b5730ec404c90350