Malicious PDF — malware analysis report

Static analysis result for SHA-256 65389d296761fca6…

MALICIOUS

PDF

46.3 KB Created: 2020-09-30 22:52:51 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 503d2c41aa5f99b0a1accb47474ea5b6 SHA-1: 3316ef303b8a332a9304871ea3cf3ccd19ca7712 SHA-256: 65389d296761fca6ce7e8e9a2678a58b33578a3d86530670436b2b09e144f98a
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=brand+identity+guideline+pdf In PDF document text
    • http://dutidameb.conneracup.com/uploads/1/3/1/4/131407089/tavisigumogo_pororafe_megamanuvipa_vufowu.pdfIn PDF document text
    • http://files.nunneryoandp.com/uploads/1/3/0/9/130969231/6905366.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://cdn.shopify.com/s/files/1/0432/9806/2491/files/73605619421.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/7375/6572/files/total_war_three_kingdoms_yuan_shao_guide.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/4356/1384/files/pekedituposekejuberowi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0b7eaeb4-bc11-45d5-98f3-140e4d03974d/71841646876.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/068ab080-0bf8-4cbf-9b6d-921acd8608e8/21166040890.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2f98fa60-58ca-4fac-8643-f3a9552f6d7d/gowozirigelesijakegazuveg.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/afccd22d-7bf0-4f17-8320-8f4084d05ece/98684840358.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5d7a2b23-a78c-4d83-bccf-c4346455028b/60892458943.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0461/6545/9096/files/dakes_annotated_reference_bible_online.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/7426/4993/files/vong_invasion_star_wars.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/25781613666.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000069ba.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x69BA 4956 bytes
SHA-256: 7b7ea2192791701c6727ecd1ee8df029062f5753a83ee6bdceabeb5c299ab185
font_01_sfnt_off00007aa8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7AA8 10324 bytes
SHA-256: abb049527cf5810c2578a96f33e769a4a34561b32fcf8851091baea597b8b12a
font_02_sfnt_off00009de0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9DE0 4324 bytes
SHA-256: ce7e2e230a41ba6fc2d7d2240890c8289d67876d84a3d076d67c0b48111c8230

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