Malicious PDF — malware analysis report

Static analysis result for SHA-256 5cfffd1031dbf071…

MALICIOUS

PDF

42.5 KB Created: 2020-10-10 08:40:13 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: 4f63ee986e3527a3604ad8e9f9f770a0 SHA-1: 8c74ce663a8dfea72720a1419b2c126b168a46ec SHA-256: 5cfffd1031dbf0716d290ba1c790c7a504d67904e0abfb6278c774b1e2ce4212
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=kik+messenger+apk+download In PDF document text
    • https://site-1036862.mozfiles.com/files/1036862/74425770734.pdfIn PDF document text
    • https://site-1042345.mozfiles.com/files/1042345/75062734648.pdfIn PDF document text
    • http://files.didistutter.org/uploads/1/3/2/7/132712015/33918117.pdfIn PDF document text
    • http://files.jeffkirchoff.com/uploads/1/3/2/7/132740270/tenivanu.pdfIn PDF document text
    • http://lagaremup.memorablemomentsbymichele.net/uploads/1/3/0/7/130775192/najaxemazavi-mukir-wefutelozezuvuj.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/99d65acd-16ca-4d44-8709-b91df61c3532/xexukinobomuxamugalib.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3d8d3f40-8254-4e1a-8a81-46411bbf42a7/29457911358.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a51e1cbf-3369-4e20-8a30-a225b6315bde/redet.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6de4604b-8cd8-4c77-82d3-17bec1a43ecf/90657768685.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/be8538be-1e94-4786-8399-2049401b1e9c/94019917167.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0467/5249/7827/files/reported_speech_exercises.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/8108/4312/files/ninja_12-cup_programmable_coffee_pot.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/8352/1445/files/te_quiero_mucho_austin.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/9789/2031/files/64537691198.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_off000067fa.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x67FA 5404 bytes
SHA-256: b354163d53c6d52204fbd5f0aa71bfc6de91405aa0893238b388a5ef1e6e1db3
font_01_sfnt_off00007a57.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7A57 10208 bytes
SHA-256: 6ee916f8648ca175a6e50d416b5c0bfdbd2b484ce82467b152b121002408a423

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