Malicious PDF — malware analysis report

Static analysis result for SHA-256 28aa2ec8a4778154…

MALICIOUS

PDF

49.3 KB Created: 2020-10-15 14:44:57 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: eb92d34cea980ab1f42725ed5b00a017 SHA-1: 9f0b3678f417a9d2e2a59821fb52bc560ed80f5d SHA-256: 28aa2ec8a477815489dd4d7ad08d6d1be3b486d7582caba02f9bbc48b3e5e0a9
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/strik?keyword=classification+of+sedimentary+rocks+and+examples+pdf In PDF document text
    • https://jawasolasazilem.weebly.com/uploads/1/3/1/3/131379174/zuvefusu_tewojawowebav.pdfIn PDF document text
    • https://jamuseramomuf.weebly.com/uploads/1/3/1/8/131871426/lefiwakiwani-mowatumemozek-vepobanejez-nugito.pdfIn PDF document text
    • https://mojivimimujovo.weebly.com/uploads/1/3/0/8/130874437/9594994.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365583/normal_5f8737307246c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369507/normal_5f880e7b5ff1d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366008/normal_5f8732537ff1c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365599/normal_5f879d40601e8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366354/normal_5f873c02e7e89.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365553/normal_5f87077a2be27.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366399/normal_5f8714e921062.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366337/normal_5f8719f31e4b3.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368953/normal_5f87a25c2c406.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365624/normal_5f87a5499ed02.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366647/normal_5f871d2b042af.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/1/0481/8783/4525/files/caesar_civil_war_latin.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0495/4941/0456/files/55773202783.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/3151/0690/files/35658825218.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/593e3565-94cb-45a9-a7dc-f42039d66948/69693862339.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4ae0aeaf-2a1e-4772-b047-20fe1387e940/74562377562.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fb137d4c-0e0d-4c82-9432-87f73426e075/funug.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_off00008230.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8230 5440 bytes
SHA-256: e538f048c7ce0a5327277a9a473ded86e08de8479e79bf6ee1068f95a4993c42
font_01_sfnt_off000094a0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x94A0 10280 bytes
SHA-256: 3c98106b3e82a350e8357b1f4c4e03cdc2a0a43703f00a5c2a4d0e005603f6b6

Open this report in the interactive analyzer, or submit your own file for analysis.