Malicious PDF — malware analysis report

Static analysis result for SHA-256 66388ada1097a77d…

MALICIOUS

PDF

45.6 KB Created: 2020-10-02 18:36:24 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-19
MD5: 5e7118c684655a5d660fb4c4d91cdfd9 SHA-1: 7ec029650adfdd988b2611c87864dfd78382f18f SHA-256: 66388ada1097a77dd8be9a5cbcfd391092ff75900f2a6b1a7baaed57ad6b38a8
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=data+structures+and+algorithms+in+python+solutions+manual In PDF document text
    • http://files.ohmygiftshop.ca/uploads/1/3/1/4/131406662/3674596.pdfIn PDF document text
    • http://nuronalap.onceuponarockvermont.com/uploads/1/3/1/6/131606051/7832477.pdfIn PDF document text
    • http://bogupimel.princetownship.ca/uploads/1/3/1/4/131406226/ed5cdde.pdfIn PDF document text
    • http://zazimiw.robertjschneider.com/uploads/1/3/1/4/131454521/494182f9b45b.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://uploads.strikinglycdn.com/files/947d1720-5a40-48a3-bfb0-8aede03a9db4/86166674262.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0322f472-ad22-4e3c-8f79-fcf4310f6725/13201123123.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5507e30c-20fa-4892-a0ca-ba8dc4d5db8b/lumebojizetuvedeg.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b64a0faa-7e8e-4b52-b539-76ad42f82976/18213786293.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0d93779c-1dc5-49e5-a3ee-32640d1dddee/wilujowiji.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7ca8237b-8866-46b8-81f7-ea7b195ae740/pavekefukelopuvoz.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/56b0f3b8-a0bb-4146-a36d-29cd30eac462/83826926243.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5d7432b1-d867-417a-8bf2-77bd609a88ee/kaxegekugevabujivigeli.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/15561293-d859-499b-9a0a-dd105b4d3ef8/xamuwegukozifuru.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6680ac26-70d9-458f-a182-3df868d0ce5a/gazavubegovigogekisoju.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/78a9c51a-1881-466b-90e6-189c29c89cfa/50069159533.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ec6185eb-4ec6-498b-bfe5-a3968d5e2146/xajazulivexodabolu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1e551e8d-e439-4308-af96-4a89ceabb951/39474631661.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fc40813f-275b-4ee6-8243-32bf037ed0e5/32252003024.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_off00006571.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6571 5472 bytes
SHA-256: c45a6a4fc0d406613edbd080329e22eb978610f597ec53fca43bb7f11ed65a4d
font_01_sfnt_off000077e2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x77E2 10220 bytes
SHA-256: 9b26f3235e5478f3b7b8d973729097c357c9cb26bb172d3556d369436bef0889
font_02_sfnt_off00009aca.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9ACA 4324 bytes
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2