Malicious PDF — malware analysis report

Static analysis result for SHA-256 6c39620de6be6a0f…

MALICIOUS

PDF

43.0 KB Created: 2020-10-15 04:30:34 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: f7c6b75382a0a906d449f8888278353d SHA-1: 272ddc20e83846facefde1c06c348bca0901dcd5 SHA-256: 6c39620de6be6a0f5f7d2a0f5f865a4505d50e1bb19809a78adef1851789131d
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/strik?keyword=best+command+terminal+for+android In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366628/normal_5f8723f1c84ac.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365649/normal_5f8709ea08012.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366003/normal_5f870af2bdb56.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365586/normal_5f8708bb6eb0e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366982/normal_5f8782e04832c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367642/normal_5f874ff4d29fc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365580/normal_5f876506ce5f4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367275/normal_5f8784aa72d1a.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/1/0429/6369/7817/files/warmonger_penalty_civ_6.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/6419/9841/files/52020704320.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/0095/7608/files/watch_joker_2019_movie.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a788106b-ea70-436e-bfef-43d66c1ecf67/66965878568.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8b9994c6-da01-4c72-8960-fd5d870990b3/pamoxupakide.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/06d00e24-7dc4-4019-8f91-852f82a60a6e/64677711002.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d9826ee7-a1a5-4eea-86b8-97dbdab3d4c1/96298188258.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5a249bb9-9a4e-4251-ba3a-e4e7d4fc51ee/84892892644.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e40e252d-0e42-4361-98eb-1c1c9b32a238/migosinidevogegubofu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7b5021d4-8c99-4260-ac4b-c4f07e0d423d/lazuxuge.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_off00006ab7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6AB7 5216 bytes
SHA-256: ad5a46cffe01bd399f2b6a8469b7d9b1db9491621c49c2ec26137373899ee61f
font_01_sfnt_off00007c50.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7C50 9956 bytes
SHA-256: 2ba733040cd2c9e3d60c7dfac721bf4a96668d5b63a0db0deb62e91510b09d04