Malicious PDF — malware analysis report

Static analysis result for SHA-256 4175f1d5e6d753cd…

MALICIOUS

PDF

43.6 KB Created: 2020-10-26 12:11:52 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: cad7f048cfdfecb16feb1152f7fb16f8 SHA-1: d45bb74d3feeca06b821698ca46c271949d6fe21 SHA-256: 4175f1d5e6d753cd829b5ada805ca0a9b9e60f77dbaeecac9eeca3528409f290
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://cctraff.ru/strik?keyword=necronomicon+ex-+mortis+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4369505/normal_5f8acc8531525.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368266/normal_5f8e7875a784c.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00006c3f.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00006c3f.bin)
    • https://cdn.shopify.com/s/files/1/0481/5283/8297/files/orcs_must_die_2_strategy_guide.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/1055/5545/files/rf_spectrum_analyzer_app_android.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0503/1788/5598/files/53821399856.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/5197/4818/files/64755896318.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/4202/9215/files/lapikafu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c8297c11-e5a1-409d-80ae-d3e82bf002f8/dupisizekikusefumamad.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1d3a2f02-3702-4a23-89e4-36e072ee5cc8/nafozaxepabibugeloredo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/132a1e1e-baa4-4f88-98fc-cf462ab20ff2/20346565733.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/93a63fc9-f22e-4ea2-a2a8-d11796558420/sezududosim.pdfIn PDF document text
    • https://s3.amazonaws.com/mubemutolewe/79651688300.pdfIn PDF document text
    • https://s3.amazonaws.com/jijumupade/human_anatomy.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/pdf_to_word_software_converter.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/daf02556-7b3e-4fe4-b777-ec40c58bb4a2/40301168035.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ca517874-6632-4caf-a27d-8e3f59eddd27/evca_reporting_guidelines.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/83e14a46-ec2d-4e0e-a385-6abd9cd13c45/30736343716.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/79dcf1c0-ae68-4d58-ab92-9b184669f941/xadaziji.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/2117/1879/files/74900472435.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/6229/5716/files/rabowekeremevobawekob.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 extracted file (font_00_sfnt_off00006c3f.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006c3f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6C3F 5128 bytes
SHA-256: 0ed82438729747854139983fdf007b9034c9f04841d27324aaf6bdb04420b41e
font_01_sfnt_off00007da7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7DA7 10472 bytes
SHA-256: 8630d40f2ccfef023d6325fac068c7797104591e6912132bfb6dc63f36249049